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                "fi": "Aineisto on osa laajempaa Suomalainen päihdehoito -sarjaa, johon kuuluu niin kvantitatiiviseen kuin kvalitatiiviseen tutkimukseen soveltuvia osa-aineistoja. Aineisto on kerätty verkkokyselynä A-klinikoilla toimivilta päihdetyöntekijöiltä. Kysely koostuu neljästä kysymysosiosta. Ensimmäisessä osuudessa kysytään taustamuuttujien jälkeen niistä hoidollisista menetelmistä, joita joko vastaaja itse tai päihdehoito yleisemmällä tasolla hyödyntää. Seuraavaksi kysytään onko asiakkaan sukupuolella merkitystä sen suhteen, kuinka vastaaja suhtautuu työhönsä. Tämän jälkeen kysytään vastaajan lapsuuteen ja lapsuuden perheeseen liittyviä kysymyksiä, sekä tiedustellaan vastaajan uskonnollisuutta. Myös vastaajan omakohtaisia kokemuksia päihdeongelmista toipumisesta sekä mahdollisia väkivallan tai seksuaalisen hyväksikäytön kokemuksia tiedustellaan. Toisessa vaiheessa vastaajalle esitetään luettelo erilaisista yksilöllisistä ominaisuuksista. Vastaajaa pyydetään kertomaan, missä määrin ne ovat hänelle tyypillisiä. Seuraavassa osiossa esitetään joukko sukupuolten tasa-arvoa koskevia väittämiä ja vastaajan tulisi kertoa, missä määrin hän voi niihin yhtyä. Viimeinen osio on eläytymistehtävä, jossa vastaajalle esitellään kolme esimerkkiasiakasta. Vastaajan tulee valita esitetystä listasta kuusi adjektiivia, jotka hänen mielestään kuvaavat asiakasta. Kyselyn taustamuuttujia ovat mm. ikä, sukupuoli, seksuaalinen suuntautuminen, perhemuoto, koulutus ja päihdehoidossa toimimisaika. Sähköinen kysely lähetettiin yhteensä 546 päihdetyöntekijälle."
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                "fi": "Aineisto on osa laajempaa Suomalainen päihdehoito -sarjaa, johon kuuluu niin kvantitatiiviseen kuin kvalitatiiviseen tutkimukseen soveltuvia osa-aineistoja. Tämä osa-aineisto pitää sisällään vastaukset taustatietolomakkeeseen, jotka kerättiin aineistossa FSD2692 haastatelluilta päihdetyöntekijöiltä. Haastateltavaksi valittiin kahden päihdetyötä tekevän laitoksen työntekijöistä sellaisia henkilöitä, jotka työskentelevät vakituisena työntekijänä asiakastyössä ja jolla on alan koulutus. Kriteerit täyttävien työntekijöiden joukosta osallistujat valittiin satunnaistetusti. Kyselylomake oli lähetetty haastateltaville ennen haastattelua. Taustatietolomakkeen alkupään kysymyksistä käy ilmi mm. haastateltavan ikä, sukupuoli, perhemuoto, koulutus ja päihdehoidossa toimimisaika. Seuraavat kysymykset liittyvät niihin hoidollisiin menetelmiin, joita joko vastaaja itse tai päihdehoito yleisemmällä tasolla hyödyntää. Tämän jälkeen kysytään onko asiakkaan sukupuolella merkitystä sen suhteen, kuinka vastaaja suhtautuu työhönsä. Lisäksi kysytään vastaajan lapsuuteen ja lapsuuden perheeseen liittyviä kysymyksiä, sekä tiedustellaan vastaajan uskonnollisuutta. Myös vastaajan omakohtaisia kokemuksia päihdeongelmista toipumisesta sekä mahdollisia väkivallan tai seksuaalisen hyväksikäytön kokemuksia tiedustellaan. Kokonaisuudessaan taustatietoaineisto pitää sisällään haastateltavien vastaukset 19 kysymykseen."
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                    "notation": "https://doi.org/10.60686/t-fsd2693",
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                    },
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                    "is_associated_with": [],
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                    "variables": [
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                            "id": "80805829-bf2c-41cc-a5a6-7836f4c7eb34",
                            "pref_label": {
                                "en": "Qualified permanent employees working with clients in substance abuse treatment institutions",
                                "fi": "Päihdehoitolaitosten asiakastyössä olevat työntekijät, jotka vakinaisessa työsuhteessa ja joilla alan koulutus"
                            }
                        }
                    ]
                },
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                },
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                },
                {
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                    "description": {
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                    },
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            ],
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            ],
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            "temporal": [
                {
                    "start_date": "2008-01-01",
                    "end_date": "2008-01-01"
                }
            ],
            "theme": [],
            "title": {
                "en": "Substance Abuse Treatment: Background Information for Therapists' Career Choice 2008",
                "fi": "Suomalainen päihdehoito: päihdetyöntekijän alalle hakeutuminen 2008: taustatiedot"
            },
            "created": "2018-06-19T12:13:45Z",
            "modified": "2026-08-22T01:03:29Z",
            "dataset_versions": [
                {
                    "id": "1d949a68-b1c9-4fd5-bfe7-6af1acdd3e97",
                    "title": {
                        "en": "Substance Abuse Treatment: Background Information for Therapists' Career Choice 2008",
                        "fi": "Suomalainen päihdehoito: päihdetyöntekijän alalle hakeutuminen 2008: taustatiedot"
                    },
                    "persistent_identifier": "urn:nbn:fi:fsd:T-FSD2693",
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            ],
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                            "fi": "Aineisto on käytettävissä (B) tutkimukseen, opetukseen ja opiskeluun."
                        },
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            "actors": [
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                                "und": "Tampereen yliopisto"
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                }
            ],
            "cumulative_state": 0,
            "data_catalog": "urn:nbn:fi:att:data-catalog-harvest-fsd",
            "description": {
                "en": "The data contain the structured parts of a reader survey conducted in 2002 by the weekly supplement NYT of the newspaper Helsingin Sanomat. The survey studied depression in Finland and invited those readers of NYT who suffer from depression to participate. The number of respondents was 1019 and 73% were female. Most respondents were young people. Questions covered the physical symptoms of depression and what respondents had felt when they first realized they suffered from depression. Visits to doctors, treatment received and sick leaves were charted. The survey also asked which things respondents were able to enjoy when depressed and what could have helped ease their depression (with respondents choosing their answers from a list). Background variables included respondents' age, sex, occupation, type of employment contract, marital status and whether respondents had any children.",
                "fi": "Helsingin Sanomien Nyt-liitteen 2002 toteuttaman kyselyn strukturoidusta osuudesta muodostettu aineisto. Kysely on suunnattu masennuksesta kärsiville Nyt-liitteen lukijoille ja siihen on vastannut 1019 henkilöä. Vastaajista on naisia 73% ja nuoret ovat vastanneet kyselyyn eniten. Aineistot FSD1256 Masennuskysely 2002, FSD1293 Kokemukset masennuksen hoidosta ja toipumisesta 2002 ja FSD1296 Elämä masentuneena 2002 on tuotettu samasta kyselystä. Tiedot voi yhdistää havaintotunnuksen avulla. Kysymyksissä on kartoitettu masennuksen fyysisiä oireita ja ensireaktioita siihen, kun ymmärtää sairastavansa masennusta. Vastaajilta on kysytty myös erilaisia kysymyksiä lääkärillä käynneistä, saadusta hoidosta ja mahdollisesta sairaslomasta. Kyselyssä on annettu valittavaksi valmiista vastausvaihtoehdoista sopivat kysymyksiin \"Mistä asioista pystyt nauttimaan masentuneena?\" ja \"Mikä olisi voinut auttaa masennuksessa?\". Taustamuuttujina kyselyssä ovat ikä, sukupuoli, ammatti, työsuhteen laatu, siviilisääty ja se, onko vastaajalla lapsia vai ei. Kysely sisältää lukuisia avokysymyksiä, joiden vastaukset ovat aineistoissa FSD1293 Kokemukset masennuksen hoidosta ja toipumisesta 2002 ja FSD1296 Elämä masentuneena 2002."
            },
            "field_of_science": [
                {
                    "id": "eb6d49d6-6bfc-4d8c-86b8-d9497924b295",
                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta5",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
                    "pref_label": {
                        "en": "Social sciences",
                        "fi": "YHTEISKUNTATIETEET",
                        "sv": "Samhällsvetenskaper"
                    }
                },
                {
                    "id": "752beaeb-cc05-444c-9b4b-c5a128a4cfe9",
                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta3",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
                    "pref_label": {
                        "en": "Medical and health sciences",
                        "fi": "LÄÄKE- JA TERVEYSTIETEET",
                        "sv": "Medicin och hälsovetenskaper"
                    }
                }
            ],
            "infrastructure": [],
            "issued": "2003-10-02",
            "keyword": [
                "masennus",
                "mielenterveyshäiriöt",
                "ahdistus",
                "tunteet",
                "masennus",
                "mielenterveys",
                "henkinen pahoinvointi",
                "tunne-elämä",
                "uupumus",
                "jaksaminen",
                "stressi",
                "työn kuormittavuus",
                "väsymys",
                "psyykkinen kuormittavuus",
                "depression",
                "mental health",
                "anxiety",
                "emotional states",
                "mental disorders",
                "stress (psychological)",
                "exhaustion",
                "mental ill health",
                "work strain",
                "Tietyt taudit, sairaudet ja terveydentilat",
                "Specific diseases, disorders and medical conditions"
            ],
            "language": [
                {
                    "id": "c757dc29-552d-48b2-9efc-4d53b939a7ef",
                    "url": "http://lexvo.org/id/iso639-3/fin",
                    "in_scheme": "http://lexvo.org/id/",
                    "pref_label": {
                        "en": "Finnish",
                        "fi": "suomi",
                        "sv": "finska"
                    }
                }
            ],
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                    "identifier_type": {
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                        "pref_label": {
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                        "en": "Contains the date(s) when the data were collected."
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                            "id": "b7416193-e86f-41aa-9de2-a0e3544671e2",
                            "pref_label": {
                                "en": "Those readers of the NYT supplement of Helsingin Sanomat who suffer from depression",
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            ],
            "theme": [],
            "title": {
                "en": "Depression 2002",
                "fi": "Masennuskysely 2002"
            },
            "created": "2018-06-19T12:22:51Z",
            "modified": "2026-08-22T01:02:09Z",
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                            "sv": "Begränsad åtkomst på bas av kontrakt ändast för undervisning och studier"
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                            "en": "University of Tampere. Department of Social Policy and Social Work",
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                            },
                            "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122",
                            "in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
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            ],
            "cumulative_state": 0,
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            "description": {
                "en": "The survey investigated the continuity of treatment of people with substance abuse problems as well as their readiness to change. The respondents were people with histories of alcohol and poly drug use who were being treated in an inpatient treatment facility for people with substance abuse problems. The dataset comprises four client samples. The respondents' readiness to change was charted with URICA (University of Rhode Island Change Assessment Scale) that had 32 statements and the respondents rated to what extent they agreed with each. The scale measured the respondents' State of Change with the help of four subscales: Precontemplation, Contemplation, Action and Maintenance. Statements presented in the scale included, among others: \"As far as I'm concerned, I don't have any problems that need changing\", \"I've been thinking that I might want to change something about myself\", \"Even though I'm not always successful in changing, I am at least working on my problem\", \"It is frustrating, but I feel I might be having a recurrence of a problem I thought I had resolved\", and \"I may need a boost right now to help me maintain the changes I've already made\". Background variables included, among others, the respondent's age, gender, economic activity and occupational status, total number of study years, marital status, number of children under R's guardianship living with R, housing tenure, employment status, substances used in the previous 12 months, substance most used in the previous 12 months and contacts with substance abusers.",
                "fi": "Aineistossa tarkastellaan päihdeongelmaisten muutosvalmiutta. Tutkimushenkilöt olivat päihdehoitolassa hoidettuja alkoholisteja ja sekakäyttäjiä. Aineisto koostui neljästä asiakasotoksesta. Muutosvalmiutta mitattiin sen kokonaisintensiteetin sekä muutosvaiheen mukaan. Tähän tarkoitukseen käytettiin URICA-lomaketta (University of Rhode Island Change Assessment Scale). Lomake sisältää yhteensä 32 osiota, joihin tutkimushenkilöt vastaavat viisiportaista numeroasteikkoa käyttäen. Osiot jakautuvat neljään muutosvaiheskaalaan: esiharkinta, harkinta, toiminta ja ylläpito. Vastaajilta tiedusteltiin esimerkiksi, oliko hänellä mielestään ongelma, joka edellytti muutosta, saattaisiko ongelmaan paneutuminen olla hyödyllistä, toivoiko vastaaja voivansa oppia ymmärtämään itseään paremmin, oliko hän alkanut paneutumaan ongelmaansa, mutta toivoi saavansa apua, oliko hänellä vaikeuksia estää ongelman uusiutuminen, paneutuiko hän ongelmaan aktiivisesti ja tulisiko hän mieluummin toimeen puutteidensa kanssa kuin yrittäisi muuttaa niitä. Ennen varsinaisen kysymyslomakkeen täyttöä vastaajilta kerättiin taustamuuttujina ikä, ammatti, yhteenlasketut opiskeluvuodet, siviilisääty, asumismuoto, huollettavien lasten lukumäärä, työtilanne, pääasiallinen päihde ja sen käyttötapa, viimeisen ongelmajakson pituus, kontaktit päihteiden ongelmakäyttäjiin viimeisen vuoden aikana, hoitoon tulemisen vapaaehtoisuus ja tavoite päihteiden käytön suhteen."
            },
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                {
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                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta5",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
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                        "en": "Social sciences",
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            "issued": "2012-08-15",
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            "modified": "2026-08-22T01:01:47Z",
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                        "url": "http://uri.suomi.fi/codelist/fairdata/license/code/other-closed",
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            "description": {
                "en": "The data are part of Substance Abuse Treatment series, which comprises datasets that can be used in both quantitative and qualitative research. The questionnaire in this dataset was filled in by therapists working in inpatient treatment facilities in Western and Southern Finland. The respondents were both permanent employees and substitutes with a minimum of one year's experience in substance abuse treatment. The number of therapists participating in the study in each facility varied from four to 19. The respondents were first asked which treatment method or approach they themselves mostly used and how important they thought some often used methods or approaches were. Opinions were probed on whether the respondents would prefer to work with members of one sex over the other. The respondents were asked whether they had experienced sexual violence or abuse, had been exposed to someone's alcohol or drug problem as a child and had been interested in helping people as a child. The respondents' religiosity, enthusiasm for their work and personal experiences of recovering from substance abuse were investigated. Those respondents with a history of substance abuse were asked further questions. These covered the age at which they had begun substance abuse, whether they had used substances daily, experiences of poly-drug use, serious health problems caused by substance abuse, close family members' substance abuse, the respondents' hyperactivity or conduct disorders as a child, and whether they had been sentenced for violent crime during their substance abuse. Background variables included, among others, the respondent's age, gender, marital status, education and job title. During the study, the respondents were also asked to respond to vignette questions, the answers to which are available in a separate dataset (FSD2691).",
                "fi": "Aineisto on osa laajempaa Suomalainen päihdehoito -sarjaa, johon kuuluu niin kvantitatiiviseen kuin kvalitatiiviseen tutkimukseen soveltuvia osa-aineistoja. Lomakekysely on kerätty päihdetyötä tekeviltä terapeuteilta Etelä- ja Länsi-Suomessa sijaitsevissa laitospäihdehoidon yksiköissä. Tutkimushenkilöt olivat joko vakituisessa työsuhteessa tai sijaisia, joilla oli vähintään vuoden työkokemus päihdehoidosta. Tutkimukseen osallistuneiden terapeuttien määrä vaihteli laitoksittain neljän ja 19 välillä. Kyselyn alkupuolen kysymykset liittyvät niihin hoidollisiin menetelmiin, joita joko vastaaja itse tai päihdehoito yleisemmällä tasolla hyödyntää. Seuraavaksi kysytään onko asiakkaan sukupuolella merkitystä sen suhteen, kuinka vastaaja suhtautuu työhönsä. Tämän jälkeen kysytään vastaajan lapsuuteen ja lapsuuden perheeseen liittyviä kysymyksiä, sekä tiedustellaan vastaajan uskonnollisuutta. Myös vastaajan omakohtaisia kokemuksia päihdeongelmista toipumisesta sekä mahdollisia väkivallan tai seksuaalisen hyväksikäytön kokemuksia tiedustellaan. Niiltä vastaajilta, joilla on omaa kokemusta päihdeongelmista toipumisesta kysytään lisäkysymyksiä, jotka liittyvät henkilön aikaisempaan päihteiden käyttöön ja lapsuuteen. Kyselyn taustamuuttujia ovat mm. ikä, sukupuoli, perhemuoto, koulutus ja päihdehoidossa toimimisaika. Aineiston muuttujat P01-P30 ovat PK5 -persoonallisuustestiin perustuvia summamuuttujia. Kyseisten muuttujien jatkokäyttö edellyttää tutustumista PK5 -persoonallisuustestin käsikirjaan (Psykologien Kustannus Oy). Tutkimuksen yhteydessä terapeutteja pyydettiin vastaamaan lomakekyselyn lisäksi eläytymismenetelmään perustuvaan kirjoitustehtävään, jonka vastauksista on luotu Suomalainen päihdehoito -sarjaan erillinen osa-aineisto (FSD2691)."
            },
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            "issued": "2012-03-20",
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            "record_modified": "2026-08-22T01:01:37Z"
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                            "fi": "Aineisto on käytettävissä (B) tutkimukseen, opetukseen ja opiskeluun."
                        },
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                            "fi": "Saatavuutta rajoitettu sopimuksen perusteella vain tutkimuskäyttöön",
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                        "pref_label": {
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                            "fi": "Tietoarkisto",
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                                "en": "Tampere University",
                                "fi": "Tampereen yliopisto",
                                "sv": "Tammerfors universitet",
                                "und": "Tampereen yliopisto"
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                            "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122",
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            "description": {
                "en": "The data are part of Substance Abuse Treatment series, which comprises datasets that can be used in both quantitative and qualitative research. This dataset comprise 20 transcribed interviews. In them, therapists working with people with substance abuse problems were interviewed about the reasons, factors and motives for their career choice, such as childhood experiences, personal substance abuse and religiosity. Potential participants were chosen from two different substance abuse treatment facilities in Finland on the basis of their being qualified permanent employees. The actual participants were then randomly selected out of this target group. The interviews were conducted in a period of three months in both facilities. Prior to the interviews, the respondents were sent the interview frame and a background questionnaire (see FSD2693). Each interview lasted from one to two hours. There are a total of 580 pages of interview transcriptions. The dataset is only available in Finnish.",
                "fi": "Aineisto on osa laajempaa Suomalainen päihdehoito -sarjaa, johon kuuluu niin kvantitatiiviseen kuin kvalitatiiviseen tutkimukseen soveltuvia osa-aineistoja. Haastatteluaineisto on kerätty päihdehoidon työntekijöille tehdyn lomakekyselyn (FSD2693) yhteydessä kahdessa päihdetyötä tekevässä laitoksessa Suomessa. Haastateltaviksi valittiin laitosten työntekijöistä sellaisia, jotka työskentelevät vakituisena työntekijänä asiakastyössä ja joilla on alan koulutus. Kriteerit täyttävien työntekijöiden joukosta osallistujat valittiin satunnaistetusti ja haastattelut toteutettiin kolmen kuukauden aikana vuorotellen kummassakin laitoksessa. Haastateltaville lähetettiin etukäteen teemahaastattelun runko ja taustatietolomake, jolla kerättiin tietoja muun muassa demografisista tekijöistä ja menetelmällisestä orientaatiosta (kts. FSD2693). Aineistossa kartoitetaan auttamis- ja päihdetyöhön hakeutumisen motiiveja. Haastateltavat kertovat mm. lapsuudestaan ja perheestään. Lisäksi haastateltavat kertovat sellaisista kokemuksista lapsuudessaan, jotka mahdollisesti ovat vaikuttaneet haastateltavien ammatinvalintaan. Haastateltavilta tiedustellaan myös heidän omaa päihteidenkäyttöhistoriaa sekä niitä konkreettisia syitä, jotka haastateltavan mielestä ovat johtaneet hakeutumiseen työhön päihdehoitoalalle. Haastattelut kestivät tunnista lähes kahteen tuntiin. Litteroituna haastatteluja on yhteensä 580 sivua. Aineistosta on tehty html-versio, jonka hakemiston avulla haastatteluja on helppo selata. Aineistoa on mahdollista käyttää rinnakkain samoille henkilöille tehdyn lomakekyselyaineiston FSD2693 kanssa, jonka tunnistenumeroita tämän aineiston numerot vastaavat."
            },
            "field_of_science": [
                {
                    "id": "eb6d49d6-6bfc-4d8c-86b8-d9497924b295",
                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta5",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
                    "pref_label": {
                        "en": "Social sciences",
                        "fi": "YHTEISKUNTATIETEET",
                        "sv": "Samhällsvetenskaper"
                    }
                }
            ],
            "infrastructure": [],
            "issued": "2012-03-20",
            "keyword": [
                "päihdehuolto",
                "sosiaalihuolto",
                "katkaisuhoito",
                "sosiaalityö",
                "alkoholiongelmat",
                "päihdeongelmat",
                "alkoholismi",
                "huumeongelmat",
                "sosiaalityöntekijät",
                "terapeutit",
                "ammatinvalinta",
                "lapsuus",
                "alcoholism",
                "childhood",
                "drug abuse",
                "occupational choice",
                "personality",
                "rehabilitation",
                "social services",
                "social workers",
                "Sosiaalipalveluiden käyttö ja saatavuus",
                "Specific social services: use and availability"
            ],
            "language": [
                {
                    "id": "c757dc29-552d-48b2-9efc-4d53b939a7ef",
                    "url": "http://lexvo.org/id/iso639-3/fin",
                    "in_scheme": "http://lexvo.org/id/",
                    "pref_label": {
                        "en": "Finnish",
                        "fi": "suomi",
                        "sv": "finska"
                    }
                }
            ],
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                "organization": "fairdata.fi"
            },
            "other_identifiers": [
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                    "notation": "urn:nbn:fi:csc-kata20141222161648150379",
                    "identifier_type": {
                        "id": "9ea2eac4-87b3-477d-9ac6-107eb654ab2c",
                        "url": "http://uri.suomi.fi/codelist/fairdata/identifier_type/code/urn",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/identifier_type",
                        "pref_label": {
                            "en": "Uniform Resource Name (URN)"
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                    },
                    "metax_ids": []
                },
                {
                    "notation": "https://doi.org/10.60686/t-fsd2692",
                    "identifier_type": {
                        "id": "753e313e-2eb1-4f81-988c-d50e7a7cd7fb",
                        "url": "http://uri.suomi.fi/codelist/fairdata/identifier_type/code/doi",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/identifier_type",
                        "pref_label": {
                            "en": "Digital Object Identifier (DOI)"
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                    },
                    "metax_ids": []
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            ],
            "persistent_identifier": "urn:nbn:fi:fsd:T-FSD2692",
            "pid_generated_by_fairdata": false,
            "projects": [],
            "provenance": [
                {
                    "id": "568667ca-aed4-49a1-a4db-2d16b7809d4a",
                    "title": {
                        "en": "Collection"
                    },
                    "description": {
                        "en": "Contains the date(s) when the data were collected."
                    },
                    "spatial": {
                        "geographic_name": "Suomi"
                    },
                    "temporal": {
                        "start_date": "2008-01-01",
                        "end_date": "2008-01-01"
                    },
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                    "used_entity": [],
                    "variables": [
                        {
                            "id": "ecffbebc-9577-4319-831e-14a49118428f",
                            "pref_label": {
                                "en": "Permanent employees working with clients in substance abuse treatment institutions",
                                "fi": "Päihdehoitolaitosten asiakastyössä olevat työntekijät, jotka vakinaisessa työsuhteessa ja joilla alan koulutus"
                            }
                        }
                    ]
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                {
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                },
                {
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                    "description": {
                        "en": "Contains the date(s) when the data were collected."
                    },
                    "spatial": {
                        "geographic_name": "Finland"
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            ],
            "relation": [],
            "remote_resources": [],
            "spatial": [
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                {
                    "geographic_name": "Finland"
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            ],
            "state": "published",
            "temporal": [
                {
                    "start_date": "2008-01-01",
                    "end_date": "2008-01-01"
                }
            ],
            "theme": [],
            "title": {
                "en": "Substance Abuse Treatment: Reasons for Career Choice 2008",
                "fi": "Suomalainen päihdehoito: päihdetyöntekijän alalle hakeutuminen 2008"
            },
            "created": "2018-06-19T12:13:46Z",
            "modified": "2026-08-22T01:01:19Z",
            "dataset_versions": [
                {
                    "id": "4d6a16fe-a70e-4195-9f44-27fc8d20e3df",
                    "title": {
                        "en": "Substance Abuse Treatment: Reasons for Career Choice 2008",
                        "fi": "Suomalainen päihdehoito: päihdetyöntekijän alalle hakeutuminen 2008"
                    },
                    "persistent_identifier": "urn:nbn:fi:fsd:T-FSD2692",
                    "state": "published",
                    "created": "2018-06-19T12:13:46Z",
                    "version": 1
                }
            ],
            "published_revision": 8,
            "version": 1,
            "api_version": 3,
            "metadata_repository": "Fairdata",
            "record_created": "2018-06-19T12:13:46Z",
            "record_modified": "2026-08-22T01:01:19Z"
        },
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                        "description": {
                            "en": "The dataset is (B) available for research, teaching and study.",
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                        },
                        "url": "http://uri.suomi.fi/codelist/fairdata/license/code/other-closed",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
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                    "pref_label": {
                        "en": "Restricted use",
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                            "fi": "Saatavuutta rajoitettu sopimuksen perusteella vain tutkimuskäyttöön",
                            "sv": "Begränsad åtkomst på bas av kontrakt ändast för forskningsändamål"
                        }
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                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds",
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                            "en": "Restricted access for teaching or studying based on contract",
                            "fi": "Saatavuutta rajoitettu sopimuksen perusteella opetukseen ja opiskeluun",
                            "sv": "Begränsad åtkomst på bas av kontrakt ändast för undervisning och studier"
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                        "name": "Saarnio, Pekka"
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                        "pref_label": {
                            "en": "University of Tampere. Department of Social Policy and Social Work",
                            "fi": "Tampereen yliopisto. Sosiaalipolitiikan ja sosiaalityön laitos"
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                {
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                        "pref_label": {
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                        "pref_label": {
                            "en": "Tietoarkisto",
                            "fi": "Tietoarkisto",
                            "sv": "Tietoarkisto",
                            "und": "Tietoarkisto"
                        },
                        "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122-6130",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization",
                        "parent": {
                            "id": "ea83ea7b-4d44-4d0b-b4ac-a8df3f00ae20",
                            "pref_label": {
                                "en": "Tampere University",
                                "fi": "Tampereen yliopisto",
                                "sv": "Tammerfors universitet",
                                "und": "Tampereen yliopisto"
                            },
                            "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122",
                            "in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
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            "data_catalog": "urn:nbn:fi:att:data-catalog-harvest-fsd",
            "description": {
                "en": "The survey investigated how persons who had undergone substance abuse treatment coped after the treatment. The respondents had come in for treatment to an inpatient treatment facility for people with substance abuse problems in Finland between August and November 1995. The length of the treatment varied from 9 to 97 days. The respondents were interviewed five times: one week after the beginning of the treatment, 2-3 days before the end of the treatment, and three, six and twelve months after the end of the treatment. In the first interview the respondents were first asked about their social stability (housing, job). Next questions covered the use of different substances in the previous 12 months, substance mainly used, number of years with substance abuse problems, number of days sober and intoxicated in the previous six months, longest period of sobriety in the previous six months and length of the most recent substance abuse period. Further questions charted the respondents' treatment history (e.g. number of visits to health care centre or hospital during the previous 12 months resulting from substance abuse), friends (e.g. number of substance abusing friends) and leisure time activities. The second interview charted the treatment period (length, reason for ending the treatment etc.), the respondents' plans of further treatment and estimates on their coping in the following 12 months and their personal therapists' estimates on their coping. The third interview had many of the questions asked in the first and second interviews. Again, there were questions about the respondents' social stability, substance abuse, and friends and leisure activities. Questions were also asked about further treatment sought, satisfaction with the treatment period, the respondents' estimates on their situation in the previous three months and life events in the previous three months. In the fourth and the fifth interviews many of the same questions were again asked: social stability, possible further treatment sought, substance abuse, friends and leisure time, the respondent's own estimates of their situation and life events. Background variables included the respondent's gender, economic activity, marital status and education.",
                "fi": "Aineistossa tarkastellaan päihdeongelmaisten selviytymistä päihdekuntoutuksen toimipaikassa saadun hoidon jälkeen. Aineisto koostuu viidestä seurantahaastattelusta, jotka on toteutettu lomakekyselyinä. Tutkimushenkilöt tulivat hoitoon päihdekuntoutusta harjoittavaan toimipaikkaan vuoden 1995 elokuun ja marraskuun välisenä aikana. Hoidon pituus vaihteli 9 ja 97 vuorokauden välillä. Tutkimushenkilöt lomakehaastateltiin keskeyttäneitä ja katoa lukuunottamatta viidesti. Ensimmäinen haastattelu tehtiin noin viikon kuluttua hoidon alkamisesta ja toinen kaksi-kolme päivää ennen hoidon päättymistä. Selviytymistä koskevat lomakehaastattelut tehtiin kolmen, kuuden ja kahdentoista kuukauden kuluttua hoidon päättymisestä. Seurantahaastatteluista noin puolet tehtiin päihdekuntoutuksen toimipaikassa ja puolet muualla, esimerkiksi asiakkaan kotona sekä erilaisissa avohoidon toimintapaikoissa ja laitoksissa. Haastattelut toteutti toimipaikan terapeutti, joka ei samanaikaisesti osallistunut hoitotoimintaan. Ensimmäisessä lomakehaastattelussa selvitetään tutkimushenkilön tilannetta haastattelua edeltäneen 12 kuukauden aikana. Aluksi kysytään tutkimushenkilön taustatietoja sekä asunto- ja työtilannetta. Tämän lisäksi kartoitetaan päihteidenkäyttöä, hoitohistoriaa, ystäväverkostoa ja vapaa-ajan harrastuksia. Toisen haastattelun kysymykset liittyvät perushoitojaksoon sekä asiakkaan selviytymisen ja jatkohoidon arviointiin. Kysytään mm. asiakkaan ja omahoitajan arvioita asiakkaan selviytymismahdollisuuksista tulevien 12 kuukauden aikana. Kolmannen ja neljännen lomakehaastattelun kysymyksissä tarkastellaan haastattelua edeltäneitä kolmea kuukautta. Kolmannessa haastattelussa tutkimushenkilöltä kysytään jälleen taustatietoja, asunto- ja työtilanteesta sekä lisäksi mm. toteutuneesta jatkohoidosta, päihteiden käytöstä, ystävistä ja vapaa-ajan harrastuksista. Lisäksi kolmanteen lomakehaastatteluun sisältyy myös perushoitojakson arviointia sekä arviointia omasta viimeaikaisesta tilanteesta. Neljäs haastattelu sisältää toistettavien taustatietoja ja sosiaalista stabiliteettia koskevien kysymysten lisäksi kysymyksiä mm. toteutuneesta jatkohoidosta, viimeaikaisesta päihteiden käytöstä, ystävistä ja vapaa-ajan harrastuksista. Lisäksi kysytään asiakkaan kohtaamista elämäntapahtumista ja pyydetään arviota omasta elämäntilanteesta. Viides eli viimeinen seurantahaastattelu kohdistuu haastattelua edeltäneisiin kuuteen kuukauteen. Taustatietojen ja asunto- ja työtilannetta tarkastelevien kysymysten jälkeen kysytään jälleen toteutuneesta jatkohoidosta, päihteiden käytöstä, ystävistä ja vapaa-ajan toiminnoista. Myös viidennessä haastattelussa tutkimushenkilöltä kysytään arviota viimeaikaisesta elämäntilanteestaan. Seurantakyselyn taustamuuttujia ovat mm. sukupuoli, ammatti, siviilisääty, koulutus."
            },
            "field_of_science": [
                {
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                "fi": "Aineistossa tarkastellaan päihdeongelmaisten muutosvalmiutta ja hoidon jatkuvuutta. Tutkimushenkilöt (N = 105) olivat hoitolassa hoidettuja alkoholisteja ja sekakäyttäjiä. Aineistokeruu toteutettiin vuoden 2000 touko-elokuussa. Aineisto kerättiin hoitolan normaalin sisäänottomenettelyn yhteydessä. Muutosvalmiutta mitattiin sen kokonaisintensiteetin sekä muutosvaiheen mukaan. Tähän tarkoitukseen käytettiin URICA-lomaketta (University of Rhode Island Change Assesment Scale). Lomake sisältää yhteensä 32 osiota, joihin tutkimushenkilöt vastasivat viisiportaista numeroasteikkoa käyttäen (1=täysin samaa mieltä, 2=eri mieltä, 3=en osaa sanoa, 4=eri mieltä, 5=täysin samaa mieltä). Osiot jakautuivat neljään muutosvaiheskaalaan: esiharkinta, harkinta, toiminta ja ylläpito. Vastaajilta tiedusteltiin esimerkiksi, oliko hänellä mielestään ongelma, joka edellytti muutosta, saattaisiko ongelmaan paneutuminen olla hyödyllistä, toivoiko vastaaja voivansa oppia ymmärtämään itseään paremmin, oliko hän alkanut paneutumaan ongelmaansa, mutta toivoi saavansa apua, oliko hänellä vaikeuksia estää ongelman uusiutuminen, paneutuiko hän ongelmaan aktiivisesti ja tulisiko hän mieluummin toimeen puutteidensa kanssa kuin yrittäisi muuttaa niitä. Ennen varsinaisen kysymyslomakkeen täyttöä vastaajilta kerättiin taustamuuttujina ikä, ammatti, yhteenlasketut opiskeluvuodet, siviilisääty, asumismuoto, huollettavien lasten lukumäärä, työtilanne, pääasiallinen päihde ja sen käyttötapa, viimeisen ongelmajakson pituus, kontaktit päihteiden ongelmakäyttäjiin viimeisen vuoden aikana, hoitoon tulemisen vapaaehtoisuus ja tavoite päihteiden käytön suhteen."
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                        "name": "Saarnio, Pekka"
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                    "organization": {
                        "id": "46f883f3-ee4d-47d6-9934-f02602388ee9",
                        "pref_label": {
                            "en": "University of Helsinki. Department of Social Policy",
                            "fi": "Helsingin yliopisto. Sosiaalipolitiikan laitos"
                        }
                    }
                },
                {
                    "id": "1ecf893b-86bd-4b94-954b-3dc736c060c4",
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                    "organization": {
                        "id": "24e34cd1-11fc-4777-985c-dbdd68b78c24",
                        "pref_label": {
                            "en": "Tietoarkisto",
                            "fi": "Tietoarkisto",
                            "sv": "Tietoarkisto",
                            "und": "Tietoarkisto"
                        },
                        "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122-6130",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization",
                        "parent": {
                            "id": "ea83ea7b-4d44-4d0b-b4ac-a8df3f00ae20",
                            "pref_label": {
                                "en": "Tampere University",
                                "fi": "Tampereen yliopisto",
                                "sv": "Tammerfors universitet",
                                "und": "Tampereen yliopisto"
                            },
                            "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122",
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            "data_catalog": "urn:nbn:fi:att:data-catalog-harvest-fsd",
            "description": {
                "en": "The data are part of a research project studying clients and staff of Finnish rehabilitation centres treating people with substance abuse problems. This dataset covers the treatment and rehabilitation of male alcoholics treated in an alcohol rehabilitation centre. The data were collected by using questionnaires, learning potential tests and static tests. There were three separate questionnaires: one for background information, the Coping Behaviours Inventory with modified response categories, and the Effectiveness of Coping Behaviours Inventory. Learning potential tests included matrices test (a modified version of Raven's Progressive Matrices) and a static version of the 20-questions task. Static tests included WAIS Digit Symbol, Trail Making Test, WAIS Block Design and Embedded Figures Test (see Saarnio, 1990). The respondents' alcohol use was surveyed with questions covering, among others, the age when they had started alcohol use, duration of problematic alcohol use, duration of the latest period of drinking, amount of alcohol used when drinking heavily, and other intoxicating substances used. Social and health consequences of drinking were examined with the Short Michigan Alcohol Screening Test (SMAST) and with further questions on the consequences (e.g. termination of relationship, loss of job, delirium tremens, cirrhosis). The locations in which and people with whom the respondents mainly drank were investigated as well as the time that had passed between the latest drink and arrival to the rehabilitation centre. The Coping Behaviours Inventory and the Effectiveness of Coping Behaviours Inventory were both questionnaires with 36 items. The items in the inventories were identical but the response scales differed. In the former inventory, the respondents were asked to select ways in which they had tried to stop themselves from drinking again. These included, among others, \"telephoning a friend\", \"staying indoors - hiding\", \"going to AA meeting\" and \"eating a good meal\". For the ECBI, the respondents were requested to estimate how well the techniques they had tried had worked. The data have been supplemented with follow-up variables on the respondents' situation in 2014. The variables contain information on whether the respondent was still alive and if not, when he had died and what the cause of death had been. The background variables included, among others, the respondent's age, marital status, type of municipality, housing tenure, level of education, total number of years in education, months in employment in the previous six months, employment status, gross monthly income in the previous six months, and education level, alcohol use and potential break-up or divorce of the parents.",
                "fi": "Tutkimuksessa tarkastellaan päihdehoidossa olevien asiakkaiden hoidon ja kuntoutuksen perusedellytyksiä. Tutkimushenkilöt olivat päihdehoitolassa hoidettuja 20 - 50-vuotiaita alkoholin ongelmakäyttäjiä. Tutkittavista kerättiin tietoa kyselylomakkein, oppimispotentiaalitestein ja staattisin testein. Kyselylomakkeita oli käytössä kolme: taustatietoja koskeva lomake, selviytymiskeinoinventaari ja selviytymistehokkuusinventaari. Oppimispotentiaalitesteinä käytettiin matriisitestiä ja esinetehtävää. Staattiset testit olivat WAIS:n merkkikoe, Trail Making Test, WAIS:n kuutiokoe ja Embedded Figures Test. (ks. Saarnio 1990). Taustatietolomakkeella kerättiin perusdemograafisia tietoja, kuten ikä, ammatti, koulutustyyppi ja kouluvuodet. Työelämään liittyen tiedusteltiin työtilanne, työttömyyden kesto, työssäolo viimeisen kuuden kuukauden aikana sekä kuukausitulot. Kotitaustaan liittyen kyseltiin vanhempien ammatteja ja koulutusta, vanhempain menetystä, huostaanottoa, vanhempien alkoholinkäyttöä asiakkaan ollessa alle 16-vuotias ja vanhempien ongelmallista alkoholinkäyttöä yleensä. Juomahistoriaa ja juomatapaa selvitettiin tiedustelemalla muun muassa juomisen ja ongelmajuomisen aloittamisikää, ongelmajuomisen kestoa, viimeisen ongelmakauden kestoa, juomistiheyttä viimeisen ongelmakauden aikana, muiden päihteiden käyttöä, juomapaikkaa ja juomaseuraa. Seuraavaksi tarkasteltiin juomisen aiheuttamia sosiaalisia ja terveydellisiä haittoja. Samassa yhteydessä esitettiin MAST:n lyhennetty versio (SMAST). Lisäksi selvitettiin viimeinen juomisajankohta ennen huoltolaan saapumista. Selviytymiskeinoinventaari ja selviytymistehokkuusinventaari olivat 36-osioisia lomakkeita, joilla selvitettiin asiakkaan selviytymiskeinojen laatua ja tehokkuutta. Inventaarien kysymykset olivat sisällöllisesti samoja. Vastaajalta kysyttiin, kuinka hän yritti estää juomisen, mikäli hän joutui tilanteeseen, jossa hänen teki mieli juoda uudelleen. Tämän jälkeen esitettiin erilaisia menetelmiä, kuten, soitan ystävälle tai kaverille, palautan mieleeni muille antamani lupaukset juomisen lopettamisesta, menen AA-kokoukseen, tai yritän kohdata ikävät mielialat yrittämättä hukuttaa niitä. Vastausvaihtoehtoina olivat selviytymiskeinoinventaarissa usein, joskus ja ei koskaan. Selviytymistehokkuus inventaarissa vastaajaa pyydettiin käymään saman listan läpi uudelleen miettien, miten hyvin kokeillut menetelmät olivat toimineet. Vastausvaihtoehtoina olivat auttaa tavallisesti, auttaa joskus, ei auta ja en tiedä. Tutkimusaineiston muuttujat q3-q36 perustuvat taustatietolomakkeeseen, muuttujat selk1-selk36 selviytymiskeinoinventaariin, muuttujat selt1-selt36 selviytymistehokkuusinventaariin, muuttujat ihahmo-ivaika ja a1h-d12ylyl matriisitesteihin (kyselylomakkeessa liitteet E, F, G), muuttujat es1-etulos4 ja ae1-de15 esinetehtävään (kyselylomakkeessa liite H), muuttuja wmk WAIS:n merkkikokeeseen, muuttuja tmt Trail Making Testiin, muuttujat wkk-wkkb WAIS:n kuutiokokeeseen ja muuttujat eft-eftf Embedded Figures Testiin (ks. Saarnio 1990, 73-100; 209-251). Aineistoa on täydennetty vuoden 2014 tilanteen osalta, kun mukana ovat muuttujat kohdehenkilön nykyisestä tilanteesta. Muuttujiin sisältyy tieto siitä, onko henkilö vielä elossa, ja mikäli ei ole, milloin ja mihin hän on kuollut. Taustamuuttujina olivat ikä, siviilisääty, kotipaikkakunta, asumismuoto, koulutus ja koulutuksen yhteenlasketut vuodet."
            },
            "field_of_science": [
                {
                    "id": "eb6d49d6-6bfc-4d8c-86b8-d9497924b295",
                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta5",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
                    "pref_label": {
                        "en": "Social sciences",
                        "fi": "YHTEISKUNTATIETEET",
                        "sv": "Samhällsvetenskaper"
                    }
                }
            ],
            "infrastructure": [],
            "issued": "2012-09-12",
            "keyword": [
                "päihdehuolto",
                "sosiaalihuolto",
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                "alkoholismi",
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                "jälkihoito",
                "vieroitus",
                "addiction",
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                "coping",
                "drinking behaviour",
                "medical treatment methods",
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                "social work",
                "Sosiaalipalveluiden käyttö ja saatavuus",
                "Päihteiden käyttö ja tupakointi",
                "Specific social services: use and availability",
                "Drug abuse, alcohol and smoking"
            ],
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                    "url": "http://lexvo.org/id/iso639-3/fin",
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                    "pref_label": {
                        "en": "Finnish",
                        "fi": "suomi",
                        "sv": "finska"
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                        "url": "http://uri.suomi.fi/codelist/fairdata/identifier_type/code/urn",
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                        "en": "Contains the date(s) when the data were collected."
                    },
                    "spatial": {
                        "geographic_name": "Suomi"
                    },
                    "temporal": {
                        "start_date": "1987-08-01",
                        "end_date": "1988-05-31"
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                    "variables": [
                        {
                            "id": "95002af7-c1d5-464e-9c1b-8d5176babd24",
                            "pref_label": {
                                "en": "Men aged 20-50 years with alcohol problems who had started their treatment in an alcohol rehabilitation centre",
                                "fi": "20 - 50-vuotiaat hoitonsa aloittaneet alkoholin ongelmakäyttäjät"
                            }
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                {
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                        "en": "Contains the date(s) when the data were collected."
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            "state": "published",
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                {
                    "start_date": "1987-08-01",
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            ],
            "theme": [],
            "title": {
                "en": "Cognitive Functions and Coping Skills of Alcoholics 1987-1988 and Follow-up 2014",
                "fi": "Alkoholistien hoidon ja kuntoutuksen peruslähtökohtia 1987-1988 ja seuranta 2014"
            },
            "created": "2018-06-19T12:21:35Z",
            "modified": "2026-08-22T01:00:11Z",
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                    "title": {
                        "en": "Cognitive Functions and Coping Skills of Alcoholics 1987-1988 and Follow-up 2014",
                        "fi": "Alkoholistien hoidon ja kuntoutuksen peruslähtökohtia 1987-1988 ja seuranta 2014"
                    },
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                        "id": "58df6b03-69a2-4cd1-9f27-8cc7fe9aeb02",
                        "name": "Md Moinul Islam",
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                    },
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                        "id": "08689c34-8dc3-4b74-b3fc-0a664967e707",
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                            "en": "Konenäkö ja signaalianalyysi (CMVS)",
                            "fi": "Konenäkö ja signaalianalyysi (CMVS)",
                            "sv": "Konenäkö ja signaalianalyysi (CMVS)",
                            "und": "Konenäkö ja signaalianalyysi (CMVS)"
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                                "en": "University of Oulu",
                                "fi": "Oulun yliopisto",
                                "sv": "Uleåborgs universitet",
                                "und": "Oulun yliopisto"
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                    },
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                            "fi": "Konenäkö ja signaalianalyysi (CMVS)",
                            "sv": "Konenäkö ja signaalianalyysi (CMVS)",
                            "und": "Konenäkö ja signaalianalyysi (CMVS)"
                        },
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                                "en": "University of Oulu",
                                "fi": "Oulun yliopisto",
                                "sv": "Uleåborgs universitet",
                                "und": "Oulun yliopisto"
                            },
                            "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01904",
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                        "name": "Mourad Oussalah"
                    },
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                            "fi": "Konenäkö ja signaalianalyysi (CMVS)",
                            "sv": "Konenäkö ja signaalianalyysi (CMVS)",
                            "und": "Konenäkö ja signaalianalyysi (CMVS)"
                        },
                        "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01904-2405852",
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                        "parent": {
                            "id": "5540c65d-0d55-47f8-a1e5-d32ca7ff281e",
                            "pref_label": {
                                "en": "University of Oulu",
                                "fi": "Oulun yliopisto",
                                "sv": "Uleåborgs universitet",
                                "und": "Oulun yliopisto"
                            },
                            "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01904",
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            ],
            "bibliographic_citation": "Islam, M. M., Demil, G., & Oussalah, M. (2026). AquaNord-SE: A Large-Scale Longitudinal Multimodal Benchmark for Swedish Inland Water Quality [Dataset] (Version 1). https://doi.org/10.23729/fd-b932bcb9-1705-379e-9f47-0c0af9cbaba9",
            "cumulative_state": 0,
            "data_catalog": "urn:nbn:fi:att:data-catalog-ida",
            "description": {
                "en": "AquaNord-SE is a longitudinal, multimodal benchmark dataset for inland water quality prediction in Swedish lakes and rivers, covering 2000-2025. It comprises 883,325 station-date observations from 18,743 monitoring stations spanning a 1,308 km latitudinal range (55.3N-69.2N), integrating in-situ water chemistry with satellite remote sensing, meteorological reanalysis, and static catchment descriptors under a common station-date key.\n\nCONTENTS\n\n1. In-situ water quality observations. 38 physicochemical parameters retrieved from the SLU Miljodata MVM archive (quality code 'A' only), including total phosphorus, total nitrogen, chlorophyll-a, Secchi depth, pH, TOC, dissolved oxygen, turbidity, water colour and water temperature. Surface observations only where depth-stratified samples exist.\n\n2. Meteorological reanalysis. ERA5-Land daily variables (2 m air temperature min/mean/max, total precipitation, snow depth water equivalent, total cloud cover, FLake mixing-layer temperature) at 0.1 degree resolution, and MESAN regional reanalysis (HIRLAM 11 km for 2000-2013; AROME 2.5 km for 2014-2025). An auxiliary HDF5 archive stores 12x12 ERA5 grid-cell patches over nine meteorological channels centred on each station across 9,497 daily time steps.\n\n3. Multi-sensor satellite observations. Station-point extractions from MODIS Terra/Aqua, Landsat 7/8/9, Sentinel-1 SAR, Sentinel-2 MSI and Sentinel-3 OLCI, comprising both raw spectral bands and derived water quality retrievals (OC4 and NDCI chlorophyll-a, Nechad turbidity, CDOM, C2RCC products, SAR backscatter and ice flags).\n\n4. Static catchment attributes. 72 HydroATLAS descriptors joined by water-body type: lake stations to LakeATLAS polygon centroids, river stations to the nearest RiverATLAS reach within 5 km.\n\n5. Derived indices. Thirteen physically grounded parameters including Carlson Trophic State Index components, CDOM optical proxies, molar N:P stoichiometry, dissolved oxygen deficit and saturation.\n\n6. Gridded water quality index. Annual national maps at 5 km resolution (SWEREF99 TM, EPSG:3006) for nine parameters over 2000-2025, delivered as parallel inverse-distance-weighted and random-forest layers with observation-density metadata, distributed as NetCDF.\n\nEVALUATION DESIGN\n\nThe dataset ships with a five-tier modality ablation and four evaluationvprotocols: spatial (5-fold grouped cross-validation by HydroLAKES ID orvSMHI basin index), temporal (train 2000-2020, test 2021-2025),vlatitudinal (split at 61N), and rolling-origin (expanding window withvfixed 5-year test periods). Split index files are included so results are reproducible without re-deriving the partitions.\n\nKNOWN LIMITATIONS\n\nEight measurement artifacts are documented and exposed as per-record diagnostic flags, including atmospheric-correction failure in CDOM-rich waters (negative blue-band water-leaving reflectance), absent ice masking for optical retrievals, the 2014 HIRLAM-AROME reanalysis discontinuity, float16 overflow in two patch-archive channels, and pre-2007 analytical method changes associated with Water Framework Directive implementation. Users should filter on these flags rather than assume uniform retrieval quality.\n\nPROVENANCE AND ATTRIBUTION\n\nDerived from SLU Miljodata MVM, Copernicus ERA5-Land and Sentinel missions, SMHI MESAN, NASA/USGS MODIS and Landsat, and HydroATLAS. Per-source licences and required attribution statements are listed in the accompanying README. Neither the European Commission nor ECMWF is responsible for any use of the modified Copernicus data contained in this\ndataset.\n\nAssociated publication: Islam, M. M., Demil, J. G., & Oussalah, M. (2026). AquaNord-SE: A large-scale longitudinal multimodal benchmark for Swedish inland water quality. In Proceedings of the 35th ACM International Conference on Information and Knowledge Management (CIKM '26) (pp. xx–xx). Association for Computing Machinery. https://doi.org/10.1145/3799682.3840989"
            },
            "field_of_science": [
                {
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                        "title": {
                            "en": "Myllylä, Siirtola, Isosalo, Reponen, Tamminen, Laatikainen: Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish",
                            "fi": "Myllylä, Siirtola, Isosalo, Reponen, Tamminen, Laatikainen: Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish"
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                            "en": "<jats:p>In the era of digital healthcare, electronic health records generate vast amounts of data, much of which is unstructured, and therefore, not in a usable format for conventional machine learning and artificial intelligence applications. This study investigates how to extract meaningful insights from unstructured radiology reports written in Finnish, a minority language, using machine learning techniques for text analysis. With this approach, unstructured information could be transformed into a structured format. The results of this research show that relevant information can be effectively extracted from Finnish medical reports using classification algorithms with default parameter values. For the detection of breast tumour mentions from medical texts, classifiers achieved high accuracy, almost 90%. Detection of metastasis mentions, however, proved more challenging, with the best-performing models Support Vector Machine (SVM) and logistic regression achieving an F1-score of 81%. The lower performance in metastasis detection is likely due to the more complex problem, ambiguous labeling, and the smaller dataset size. The results of classical classifiers were also compared with FinBERT, a domain-adapted Finnish BERT model. However, classical classifiers outperformed FinBERT. This highlights the challenge of medical language processing when working with minority languages. Moreover, it was noted that parameter tuning based on translated English reports did not significantly improve the detection rates, likely due to linguistic differences between the datasets. This larger translated dataset used for tuning comes from a different clinical domain and employs noticeably simpler, less nuanced language than the Finnish breast cancer reports, which are written by native Finnish-speaking medical experts. This underscores the need for localised datasets and models, particularly for minority languages with unique grammatical structures.</jats:p>",
                            "fi": "<jats:p>In the era of digital healthcare, electronic health records generate vast amounts of data, much of which is unstructured, and therefore, not in a usable format for conventional machine learning and artificial intelligence applications. This study investigates how to extract meaningful insights from unstructured radiology reports written in Finnish, a minority language, using machine learning techniques for text analysis. With this approach, unstructured information could be transformed into a structured format. The results of this research show that relevant information can be effectively extracted from Finnish medical reports using classification algorithms with default parameter values. For the detection of breast tumour mentions from medical texts, classifiers achieved high accuracy, almost 90%. Detection of metastasis mentions, however, proved more challenging, with the best-performing models Support Vector Machine (SVM) and logistic regression achieving an F1-score of 81%. The lower performance in metastasis detection is likely due to the more complex problem, ambiguous labeling, and the smaller dataset size. The results of classical classifiers were also compared with FinBERT, a domain-adapted Finnish BERT model. However, classical classifiers outperformed FinBERT. This highlights the challenge of medical language processing when working with minority languages. Moreover, it was noted that parameter tuning based on translated English reports did not significantly improve the detection rates, likely due to linguistic differences between the datasets. This larger translated dataset used for tuning comes from a different clinical domain and employs noticeably simpler, less nuanced language than the Finnish breast cancer reports, which are written by native Finnish-speaking medical experts. This underscores the need for localised datasets and models, particularly for minority languages with unique grammatical structures.</jats:p>",
                            "und": "<jats:p>In the era of digital healthcare, electronic health records generate vast amounts of data, much of which is unstructured, and therefore, not in a usable format for conventional machine learning and artificial intelligence applications. This study investigates how to extract meaningful insights from unstructured radiology reports written in Finnish, a minority language, using machine learning techniques for text analysis. With this approach, unstructured information could be transformed into a structured format. The results of this research show that relevant information can be effectively extracted from Finnish medical reports using classification algorithms with default parameter values. For the detection of breast tumour mentions from medical texts, classifiers achieved high accuracy, almost 90%. Detection of metastasis mentions, however, proved more challenging, with the best-performing models Support Vector Machine (SVM) and logistic regression achieving an F1-score of 81%. The lower performance in metastasis detection is likely due to the more complex problem, ambiguous labeling, and the smaller dataset size. The results of classical classifiers were also compared with FinBERT, a domain-adapted Finnish BERT model. However, classical classifiers outperformed FinBERT. This highlights the challenge of medical language processing when working with minority languages. Moreover, it was noted that parameter tuning based on translated English reports did not significantly improve the detection rates, likely due to linguistic differences between the datasets. This larger translated dataset used for tuning comes from a different clinical domain and employs noticeably simpler, less nuanced language than the Finnish breast cancer reports, which are written by native Finnish-speaking medical experts. This underscores the need for localised datasets and models, particularly for minority languages with unique grammatical structures.</jats:p>"
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                            "en": "Ihalapathirana, Laatikainen, Mattila, Chandra, Reponen, Tamminen, Röning, Siirtola: From registers to research: Data quality challenges in Finnish EHR – Enabling AI-driven research through data preparation and standardization",
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                            "en": "<jats:p>Finland’s nationwide health registers and universal healthcare system provide comprehensive, longitudinal electronic health record data with strong potential for artificial intelligence-driven clinical research. Despite their coverage and richness, raw electronic health record datasets are not directly usable for advanced analytics due to fragmentation, heterogeneity, missingness, and inconsistencies in documentation and coding. This study describes data quality challenges encountered while preparing a breast cancer cohort (diagnosed 2012–2022) from the Wellbeing Services County of North Ostrobothnia as a preparatory step for artificial intelligence-based survival modelling. The initial dataset included 8074 patients across multiple domain-specific data files capturing diagnoses, laboratory results, pathology reports, medications, and procedural information. Following predefined cohort restrictions and preprocessing steps, 1967 patients remained for analysis. Identified challenges were grouped into four categories: 1. human-generated errors 2. decentralization-generated issues 3. time or system life-cycle–generated inconsistencies and 4. data governance/coding issues. The study adopts a qualitative research design aimed at systematically characterizing data quality challenges relevant to artificial intelligence application, and no predictive model was developed at this stage. The findings demonstrate that substantial preprocessing and data loss are often unavoidable in real-world electronic health record research and emphasize the need for standardized documentation, harmonized data structures, and closer collaboration between healthcare professionals, system developers, and data scientists to fully realize the potential of register-based electronic health record data in reliable artificial intelligence-driven research.</jats:p>",
                            "fi": "<jats:p>Finland’s nationwide health registers and universal healthcare system provide comprehensive, longitudinal electronic health record data with strong potential for artificial intelligence-driven clinical research. Despite their coverage and richness, raw electronic health record datasets are not directly usable for advanced analytics due to fragmentation, heterogeneity, missingness, and inconsistencies in documentation and coding. This study describes data quality challenges encountered while preparing a breast cancer cohort (diagnosed 2012–2022) from the Wellbeing Services County of North Ostrobothnia as a preparatory step for artificial intelligence-based survival modelling. The initial dataset included 8074 patients across multiple domain-specific data files capturing diagnoses, laboratory results, pathology reports, medications, and procedural information. Following predefined cohort restrictions and preprocessing steps, 1967 patients remained for analysis. Identified challenges were grouped into four categories: 1. human-generated errors 2. decentralization-generated issues 3. time or system life-cycle–generated inconsistencies and 4. data governance/coding issues. The study adopts a qualitative research design aimed at systematically characterizing data quality challenges relevant to artificial intelligence application, and no predictive model was developed at this stage. The findings demonstrate that substantial preprocessing and data loss are often unavoidable in real-world electronic health record research and emphasize the need for standardized documentation, harmonized data structures, and closer collaboration between healthcare professionals, system developers, and data scientists to fully realize the potential of register-based electronic health record data in reliable artificial intelligence-driven research.</jats:p>",
                            "und": "<jats:p>Finland’s nationwide health registers and universal healthcare system provide comprehensive, longitudinal electronic health record data with strong potential for artificial intelligence-driven clinical research. Despite their coverage and richness, raw electronic health record datasets are not directly usable for advanced analytics due to fragmentation, heterogeneity, missingness, and inconsistencies in documentation and coding. This study describes data quality challenges encountered while preparing a breast cancer cohort (diagnosed 2012–2022) from the Wellbeing Services County of North Ostrobothnia as a preparatory step for artificial intelligence-based survival modelling. The initial dataset included 8074 patients across multiple domain-specific data files capturing diagnoses, laboratory results, pathology reports, medications, and procedural information. Following predefined cohort restrictions and preprocessing steps, 1967 patients remained for analysis. Identified challenges were grouped into four categories: 1. human-generated errors 2. decentralization-generated issues 3. time or system life-cycle–generated inconsistencies and 4. data governance/coding issues. The study adopts a qualitative research design aimed at systematically characterizing data quality challenges relevant to artificial intelligence application, and no predictive model was developed at this stage. The findings demonstrate that substantial preprocessing and data loss are often unavoidable in real-world electronic health record research and emphasize the need for standardized documentation, harmonized data structures, and closer collaboration between healthcare professionals, system developers, and data scientists to fully realize the potential of register-based electronic health record data in reliable artificial intelligence-driven research.</jats:p>"
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                "en": "This repository contains the visible-near-infrared hyperspectral microscopy (µHSI) datacubes and Fourier-transform infrared microspectroscopy (FTIRM) datasets measured on unstained articular cartilage sections. The datacubes are co-registered together.\n\nThe data support the manuscript: \"Predicting mid-infrared spectra and biochemical maps of unstained articular cartilage sections using visible-near-infrared hyperspectral microscopy\".\n\nThe dataset is organized into three stages described in details in the manuscript:\n\n1. original/ (Co-registered Data): Spatially co-registered µHSI datacubes, FTIRM datacubes, and FTIRM-extracted biochemical maps.\n2. nobone/ (Bone & Background Removed): Datasets where calcified bone and non-tissue background have been masked/zeroed out.\n3. nofold/ (Histological Artifacts Removed - Final Dataset): Fully curated datasets where histological artifacts such as tissue folds and tears are removed, isolating clean articular cartilage.\n\nFile Types & Contents:\n- *_ftir.mat: Preprocessed FTIRM absorbance array ('data', 3D array: height × width × 623 wavenumbers).\n- *_uhsi.mat: Preprocessed µHSI transmittance array ('uhsi', 3D array: height × width × 112 spectral channels).\n- *_ftir_maps.mat: Biochemical FTIRM maps stored in a MATLAB struct ('R') containing integrated peak area maps (e.g., Amide I, Carbonate, Phosphate).\n\nFile Naming Convention:\nFormat: [Series]_[AnimalID]_[Side]_[Region]_[Cut]_[DataType].mat\n(e.g., BDH01_RL_B_ftir.mat corresponds to Series BDH, Animal 01, Right Lateral knee, Cut B, FTIR absorbance dataset).\n\nTechnical Notes:\nAll arrays are saved in MAT-file Version 7.3 (HDF5 format) to support large array sizes. Files can be loaded natively in MATLAB (load / matfile) or via Python using h5py or hdf5storage.\n\nCitation:\nIf you use this dataset, please cite the corresponding research article:\n\"Predicting mid-infrared spectra and biochemical maps of unstained articular cartilage sections using visible-near-infrared hyperspectral microscopy.\""
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            "data_catalog": "urn:nbn:fi:att:data-catalog-harvest-fsd",
            "description": {
                "en": "The dataset concerns Finland-Swedish magazines and respondents' willingness to read them. The data were collected as part of the Citizen Panel of Swedish-speaking Finns (Barometern), which is part of The Finnish Research Infrastructure for Public Opinion (FIRIPO). The survey first examined which Finland-Swedish magazines respondents read and how frequently they read them. Respondents were then asked about magazine subscriptions and reading habits, as well as the main reasons for not reading Finland-Swedish magazines. Next, the respondents were asked to evaluate a series of statements concerning the significance, quality, and willingness to pay for magazines. Finally, the survey explored what kinds of topics respondents would like to see covered more extensively and which factors they considered most important when deciding whether to subscribe to a magazine. Background variables in the dataset include region of residence (at the regional level), type of municipality, gender, age, year of birth, and level of education.",
                "fi": "Aineisto käsittelee suomenruotsalaisia aikakauslehtiä ja vastaajien halukkuutta lukea erilaisia suomenruotsalaisia aikakauslehtiä. Aineisto on kerätty osana Suomenruotsalaista barometriä (Barometern), joka kuuluu kansalliseen yleisen mielipiteen mittaamisen infrastruktuuriin (The Finnish Research Infrastructure for Public Opinion, FIRIPO). Kyselylomakkeella kartoitettiin aluksi, mitä suomenruotsalaisia aikakauslehtiä vastaajat lukevat sekä kuinka usein he lukevat niitä. Tämän jälkeen selvitettiin aikakauslehtien tilaamista ja lukutapoja sekä tärkeimpiä syitä suomenruotsalaisten aikakauslehtien lukematta jättämiselle. Seuraavaksi vastaajia pyydettiin ottamaan kantaa aikakauslehtien merkitystä, laatua ja maksuhalukkuutta koskeviin väittämiin. Lopuksi kartoitettiin, millaisista aiheista vastaajat toivoisivat enemmän sisältöä sekä mitä tekijöitä he pitävät tärkeimpinä aikakauslehden tilaamisessa. Taustamuuttujia aineistossa ovat asuinalue maakuntatasolla, kuntatyyppi, sukupuoli, ikä, syntymävuosi ja koulutusaste."
            },
            "field_of_science": [
                {
                    "id": "eb6d49d6-6bfc-4d8c-86b8-d9497924b295",
                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta5",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
                    "pref_label": {
                        "en": "Social sciences",
                        "fi": "YHTEISKUNTATIETEET",
                        "sv": "Samhällsvetenskaper"
                    }
                }
            ],
            "infrastructure": [],
            "issued": "2026-08-07",
            "keyword": [
                "aikakauslehdet",
                "digitaalinen media",
                "journalismi",
                "kulttuuri-identiteetti",
                "kulutustottumukset",
                "kuluttajakäyttäytyminen",
                "lukeminen",
                "lukutottumukset",
                "maksuhalukkuus",
                "media",
                "mediankäyttö",
                "mielipiteet",
                "ruotsinkieliset",
                "suomenruotsalaiset",
                "viihdejournalismi",
                "consumer behaviour",
                "consumption",
                "cultural identity",
                "journalism",
                "mass media use",
                "minority language users",
                "minority languages",
                "periodicals",
                "reading (activity)",
                "Joukkoviestimet",
                "Kulutus ja kuluttajakäyttäytyminen",
                "Media",
                "Consumption and consumer behaviour"
            ],
            "language": [
                {
                    "id": "c757dc29-552d-48b2-9efc-4d53b939a7ef",
                    "url": "http://lexvo.org/id/iso639-3/fin",
                    "in_scheme": "http://lexvo.org/id/",
                    "pref_label": {
                        "en": "Finnish",
                        "fi": "suomi",
                        "sv": "finska"
                    }
                }
            ],
            "metadata_owner": {
                "id": "0eabdf3f-948e-43bf-84ab-fe7b6163faaf",
                "organization": "service_fsd"
            },
            "other_identifiers": [
                {
                    "notation": "https://doi.org/10.60686/t-fsd4087",
                    "identifier_type": {
                        "id": "753e313e-2eb1-4f81-988c-d50e7a7cd7fb",
                        "url": "http://uri.suomi.fi/codelist/fairdata/identifier_type/code/doi",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/identifier_type",
                        "pref_label": {
                            "en": "Digital Object Identifier (DOI)"
                        }
                    },
                    "metax_ids": []
                }
            ],
            "persistent_identifier": "urn:nbn:fi:fsd:T-FSD4087",
            "pid_generated_by_fairdata": false,
            "projects": [],
            "provenance": [
                {
                    "id": "6a7ad9c7-db5a-4c85-8194-63dc2a96f3c0",
                    "title": {
                        "en": "Collection"
                    },
                    "description": {
                        "en": "Contains the date(s) when the data were collected."
                    },
                    "spatial": {
                        "geographic_name": "Suomi"
                    },
                    "temporal": {
                        "start_date": "2024-02-15",
                        "end_date": "2024-03-03"
                    },
                    "is_associated_with": [],
                    "used_entity": [],
                    "variables": [
                        {
                            "id": "51cae4b7-4880-4f59-b925-0c1f9bf76575",
                            "pref_label": {
                                "en": "People residing in Finland (including Åland) aged 18 and over who have Swedish as their registered mother tongue",
                                "fi": "Suomessa (ml. Ahvenanmaa) asuvat 18-vuotta täyttäneet henkilöt, joiden rekisteröity äidinkieli on ruotsi"
                            }
                        }
                    ]
                },
                {
                    "id": "3595eb0e-892c-4a45-8d2d-05f5a507a7b9",
                    "title": {
                        "en": "Production"
                    },
                    "description": {
                        "en": "Date when the data collection were produced (not distributed or archived)"
                    },
                    "temporal": {
                        "start_date": "2026-08-07",
                        "end_date": "2026-08-07"
                    },
                    "is_associated_with": [],
                    "used_entity": [],
                    "variables": []
                },
                {
                    "id": "b9aec688-a057-4a8f-b82c-39c4a2ee4980",
                    "title": {
                        "en": "Production"
                    },
                    "description": {
                        "en": "Date when the data collection were produced (not distributed or archived)"
                    },
                    "temporal": {
                        "start_date": "2026-08-19",
                        "end_date": "2026-08-19"
                    },
                    "is_associated_with": [],
                    "used_entity": [],
                    "variables": []
                },
                {
                    "id": "85dcd47f-2916-4c5f-81ce-1c8638bf6af0",
                    "title": {
                        "en": "Collection"
                    },
                    "description": {
                        "en": "Contains the date(s) when the data were collected."
                    },
                    "spatial": {
                        "geographic_name": "Finland"
                    },
                    "is_associated_with": [],
                    "used_entity": [],
                    "variables": []
                }
            ],
            "relation": [],
            "remote_resources": [],
            "spatial": [
                {
                    "geographic_name": "Suomi"
                },
                {
                    "geographic_name": "Finland"
                }
            ],
            "state": "published",
            "temporal": [
                {
                    "start_date": "2024-02-15",
                    "end_date": "2024-03-03"
                }
            ],
            "theme": [],
            "title": {
                "en": "Barometer for Swedish-speaking Finns B18/2024",
                "fi": "Suomenruotsalainen barometri B18/2024"
            },
            "created": "2026-08-08T01:09:33Z",
            "modified": "2026-08-20T01:12:11Z",
            "dataset_versions": [
                {
                    "id": "d22fa0e8-3e3d-45ac-b707-e1c8dce9b9ab",
                    "title": {
                        "en": "Barometer for Swedish-speaking Finns B18/2024",
                        "fi": "Suomenruotsalainen barometri B18/2024"
                    },
                    "persistent_identifier": "urn:nbn:fi:fsd:T-FSD4087",
                    "state": "published",
                    "created": "2026-08-08T01:09:33Z",
                    "version": 1
                }
            ],
            "published_revision": 2,
            "version": 1,
            "api_version": 3,
            "metadata_repository": "Fairdata",
            "record_created": "2026-08-08T01:09:33Z",
            "record_modified": "2026-08-20T01:12:11Z"
        }
    ]
}