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[{"key": "dc.contributor.advisor", "value": "Sepp\u00e4nen, Ville", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Virkkunen, Matti", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2022-01-07T06:59:18Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2022-01-07T06:59:18Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2021", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/79244", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4ss\u00e4 tutkielmassa selvitet\u00e4\u00e4n big datan laatuongelmien tutkimuksessa esiintyvi\u00e4 teemoja. Tutkielma toteutettiin systemaattisena kirjallisuuskatsauksena. Tutkimusprosessi toteutettiin kahdessa osassa. Ensimm\u00e4iseksi etsittiin l\u00e4hdeaineistoa valitusta tietokannasta. Tutkimuksen v\u00e4h\u00e4isyyden vuoksi l\u00e4hdeaineiston etsint\u00e4 rajattiin IEEE Xplorer Standards - tietokantaan. Hakutuloksista suodatettiin tutkimukseen sopivimmat julkaisut. Tarkempaan tarkasteluun valikoitui 23 julkaisua. Toisessa vaiheessa valittujen julkaisujen tiivistelmist\u00e4 kartoitettiin tutkimuksissa esiintyneit\u00e4 teemoja. Tutkimuksessa l\u00f6ydettiin julkaisuista yhteens\u00e4 kahdeksan erilaista teemaa. Eniten julkaisuissa oli teemana datan laadun parantaminen. T\u00e4m\u00e4 teema l\u00f6ytyi kahdeksasta julkaisusta. Seuraavaksi eniten julkaisuissa oli teemana datan laatuongelmat big datan kontekstissa sek\u00e4 datan laadun arviointi. Kumpikin oli teemana kolmessa julkaisussa. Kolmanneksi eniten julkaisuissa oli teemana big datan laadun parantaminen. T\u00e4m\u00e4 oli teemana kahdessa julkaisussa. Muita teemoja l\u00f6ytyi julkaisuista vain yhden kerran. Niit\u00e4 olivat: big datan laadun varmistaminen, big datan laadun auditointi, big datan laadun haasteet terveydenhuollossa sek\u00e4 big datan laadun hallinta. Tutkimusta big datan laatuongelmista on tehty v\u00e4h\u00e4n ja jatkotukimusta tarvitaan kaikkiin tutkimuksessa l\u00f6ytyneisiin teemoihin. Jatkotukimusta olisi hyv\u00e4 my\u00f6s keskitt\u00e4\u00e4 tutkimuksessa v\u00e4hemm\u00e4n esiintyneisiin teemoihin.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "This bachelor\u2019s thesis explores the themes involved in the study of big data quality problems. The study was carried out as a systematic literature review. The research process was carried out in two parts. First, the source material was searched in the selected database. Due to the paucity of research, the search for source material was limited to the IEEE Xplorer Standards database. The most suitable publications for the study were filtered from the search results. 23 publications were selected for closer examination. In the second phase, the themes of the studies were mapped from the abstracts of the selected publications. The study found a total of eight different themes in the publications. Improvement of data quality was the main theme in the publications. This theme was found in eight publications. The next most published topics were data quality issues in the context of big data and data quality assessment. Each was the theme of three publications. The third most published topic was optimizing the improvement of big data quality. This was the theme of two publications. Other themes were found in the publications only once. These included: big data quality assurance, big data quality auditing, big data quality challenges in healthcare, and big data quality management. Little research has been done on big data quality problems and further research is needed on all the themes found in this study. It would also be a good idea to focus further support on less frequent themes in the study.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2022-01-07T06:59:18Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2022-01-07T06:59:18Z (GMT). No. of bitstreams: 0\n Previous issue date: 2021", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "26", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "datan laatu", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "datan laatuongelmat", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Big datan laatuongelmien tutkimuksen teemat", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "bachelor thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202201071023", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Bachelor's thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Kandidaatinty\u00f6", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_7a1f", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "bachelorThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "big data", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "laatu", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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