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Part 1: Document Description
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Citation |
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Title: |
Datamanagement in Multiomics Research Projects |
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Identification Number: |
hdl:21.15109/ARP/3EBOQB |
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Distributor: |
ARP |
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Date of Distribution: |
2026-02-26 |
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Version: |
1 |
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Bibliographic Citation: |
Zoltán, Hegedűs, 2026, "Datamanagement in Multiomics Research Projects", https://hdl.handle.net/21.15109/ARP/3EBOQB, ARP, V1 |
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Citation |
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Title: |
Datamanagement in Multiomics Research Projects |
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Identification Number: |
hdl:21.15109/ARP/3EBOQB |
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Authoring Entity: |
Zoltán, Hegedűs (Biological Research Centre, Szeged) |
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Distributor: |
ARP |
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Access Authority: |
Zoltán, Hegedűs |
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Depositor: |
Zoltán, Hegedűs |
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Date of Deposit: |
2026-02-25 |
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Holdings Information: |
https://hdl.handle.net/21.15109/ARP/3EBOQB |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences, Orvostudomány, egészségügy és élettudományok |
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Abstract: |
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. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
Adatkezeles_MultiOmikai_projekteknel.pdf |
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Notes: |
application/pdf |
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Label: |
Data_Management_Issues_in_MultiOmics.pdf |
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Notes: |
application/pdf |