{"id":2159579,"identifier":"ARP/3EBOQB","persistentUrl":"https://hdl.handle.net/21.15109/ARP/3EBOQB","protocol":"hdl","authority":"21.15109","publisher":"ARP","publicationDate":"2026-02-26","storageIdentifier":"s3-sztaki://21.15109/ARP/3EBOQB","metadataLanguage":"hu","datasetVersion":{"id":80982,"datasetId":2159579,"datasetPersistentId":"hdl:21.15109/ARP/3EBOQB","storageIdentifier":"s3-sztaki://21.15109/ARP/3EBOQB","versionNumber":1,"versionMinorNumber":0,"versionState":"RELEASED","lastUpdateTime":"2026-02-25T23:01:52Z","releaseTime":"2026-02-25T23:01:52Z","createTime":"2026-02-25T23:01:23Z","publicationDate":"2026-02-26","citationDate":"2026-02-26","license":{"name":"CC BY-NC 4.0","uri":"http://creativecommons.org/licenses/by-nc/4.0","iconUri":"https://licensebuttons.net/l/by-nc/4.0/88x31.png"},"fileAccessRequest":true,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Datamanagement in Multiomics Research Projects"},{"typeName":"title_hu","multiple":false,"typeClass":"primitive","value":"Multiomikai kutatási projektek adatmenedzsmentje"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Zoltán, Hegedűs"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Biological Research Centre, Szeged"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"0000-0001-9459-1654"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Zoltán, Hegedűs"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Biological Research Centre, Szeged"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"hegedus.zoltan@brc.hu"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"The integration of multi-omics datasets—including genomics, transcriptomics, proteomics, metabolomics, epigenomics, and single-cell modalities—has transformed molecular biology into a data-intensive science. While analytical and statistical frameworks for integration have advanced rapidly, the foundational constraints are increasingly infrastructural and organizational rather than purely methodological. Multi-omics integration presents profound data management challenges arising from scale, heterogeneity, semantic inconsistency, dynamic versioning, regulatory constraints, and long-term sustainability requirements. This paper develops a systems-level analysis of these challenges and argues that robust, FAIR-aligned, provenance-aware, and interoperable data infrastructures are indispensable for credible and reproducible integrative biology. By examining metadata formalization, storage architectures, schema design, workflow versioning, governance frameworks, and lifecycle management, this work situates multi-omics integration within the broader context of data engineering and information systems theory."}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Medicine, Health and Life Sciences"]},{"typeName":"dsDescription_hu","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue_hu":{"typeName":"dsDescriptionValue_hu","multiple":false,"typeClass":"primitive","value":"A multiomikai adathalmazok – beleértve a genomikai, transzkriptomikai, proteomikai, metabolomikai, epigenomikai és egysejtes modalitásokat – integrációja alapjaiban alakította át a molekuláris biológiát adatintenzív tudományággá. Miközben az integráció statisztikai és analitikai módszerei gyors fejlődésen mentek keresztül, az alapvető korlátok egyre inkább infrastrukturális és szervezeti jellegűek, nem pedig pusztán módszertaniak. A multiomikai integráció jelentős adatmenedzsment-kihívásokat vet fel, amelyek a méretből, a heterogenitásból, a szemantikai inkonzisztenciából, a dinamikus verziókezelésből, a szabályozási korlátokból és a hosszú távú fenntarthatósági igényekből fakadnak. Ez a rövid ismertető betekintést nyújt e kihívásokba, és bemutatja, hogy a robusztus, FAIR-elvű, adatinfrastruktúrák elengedhetetlenek a megbízható és reprodukálható integratív biológia számára. Az ismertető az adatsémák formalizálását, a tárolási architektúrákat, a sématervezést, a munkafolyamat-verziókezelést, az irányítási keretrendszereket és az adat-életciklus menedzsmentet vizsgálja, és külön hangsúlyt fektet a multiomikai integráció kérdéskörére."}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Zoltán, Hegedűs"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2026-02-25"}]}},"files":[{"label":"Adatkezeles_MultiOmikai_projekteknel.pdf","restricted":false,"version":1,"datasetVersionId":80982,"dataFile":{"id":2159580,"persistentId":"hdl:21.15109/ARP/3EBOQB/FWWPLN","pidURL":"https://hdl.handle.net/21.15109/ARP/3EBOQB/FWWPLN","filename":"Adatkezeles_MultiOmikai_projekteknel.pdf","contentType":"application/pdf","friendlyType":"Adobe PDF","filesize":199120,"storageIdentifier":"s3-sztaki://concorda:19c9707d2cf-33f96b47b7d1","rootDataFileId":-1,"md5":"5b5c7da3abb9e7f7e1899ce0bcd9fc1f","checksum":{"type":"MD5","value":"5b5c7da3abb9e7f7e1899ce0bcd9fc1f"},"tabularData":false,"creationDate":"2026-02-26","publicationDate":"2026-02-26","fileAccessRequest":true}},{"label":"Data_Management_Issues_in_MultiOmics.pdf","restricted":false,"version":1,"datasetVersionId":80982,"dataFile":{"id":2159581,"persistentId":"hdl:21.15109/ARP/3EBOQB/GXJKTH","pidURL":"https://hdl.handle.net/21.15109/ARP/3EBOQB/GXJKTH","filename":"Data_Management_Issues_in_MultiOmics.pdf","contentType":"application/pdf","friendlyType":"Adobe PDF","filesize":211339,"storageIdentifier":"s3-sztaki://concorda:19c970793ba-9d33b8572ecc","rootDataFileId":-1,"md5":"f993ab86b500c2a384d9251b46635455","checksum":{"type":"MD5","value":"f993ab86b500c2a384d9251b46635455"},"tabularData":false,"creationDate":"2026-02-26","publicationDate":"2026-02-26","fileAccessRequest":true}}],"citation":"Zoltán, Hegedűs, 2026, \"Datamanagement in Multiomics Research Projects\", https://hdl.handle.net/21.15109/ARP/3EBOQB, ARP, V1"}}