Datamanagement in Multiomics Research Projects

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Zoltán, Hegedűs, 2026, "Datamanagement in Multiomics Research Projects", https://hdl.handle.net/21.15109/ARP/3EBOQB, ARP, V1

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Description	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.
Subject	Medicine, Health and Life Sciences
License/Data Use Agreement	CC BY-NC 4.0

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	Adatkezeles_MultiOmikai_projekteknel.pdf Adobe PDF - 194.5 KB Published Feb 26, 2026 0 Downloads MD5: 5b5c7da3abb9e7f7e1899ce0bcd9fc1f	Preview "Adatkezeles_MultiOmikai_projekteknel.pdf" Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX
	Data_Management_Issues_in_MultiOmics.pdf Adobe PDF - 206.4 KB Published Feb 26, 2026 0 Downloads MD5: f993ab86b500c2a384d9251b46635455	Preview "Data_Management_Issues_in_MultiOmics.pdf" Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX

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Citation Metadata

Persistent Identifier	hdl:21.15109/ARP/3EBOQB
Publication Date	2026-02-26
Title	Datamanagement in Multiomics Research Projects
Hungarian title	Multiomikai kutatási projektek adatmenedzsmentje
Author	Zoltán, Hegedűs (Biological Research Centre, Szeged) - ORCID: 0000-0001-9459-1654
Point of Contact	Use email button above to contact. Zoltán, Hegedűs (Biological Research Centre, Szeged)
Description	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.
Subject	Orvostudomány, egészségügy és élettudományok
Hungarian description	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.
Depositor	Zoltán, Hegedűs
Deposit Date	2026-02-25

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