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Fragment-level FAIRness: annotating scientific data and its provenance using data fragment selectors.

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Title: Fragment-level FAIRness: annotating scientific data and its provenance using data fragment selectors.
Authors: Weil HL; RPTU Kaiserslautern-Landau, Faculty of Biology, Computational Systems Biology Department, D-67663 Kaiserslautern, Germany., Schneider K; RPTU Kaiserslautern-Landau, Faculty of Biology, Computational Systems Biology Department, D-67663 Kaiserslautern, Germany., Brilhaus D; Heinrich Heine University Düsseldorf, Faculty of Mathematics and Natural Sciences, Cluster of Excellence on Plant Sciences (CEPLAS), D-40225 Düsseldorf, Germany., Mühlhaus T; RPTU Kaiserslautern-Landau, Faculty of Biology, Computational Systems Biology Department, D-67663 Kaiserslautern, Germany., Zimmer D; RPTU Kaiserslautern-Landau, Faculty of Biology, Computational Systems Biology Department, D-67663 Kaiserslautern, Germany.
Source: Journal of integrative bioinformatics [J Integr Bioinform] 2026 Jun 17. Date of Electronic Publication: 2026 Jun 17.
Publication Type: Journal Article
Journal Info: Publisher: De Gruyter Open Country of Publication: Germany NLM ID: 101503361 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1613-4516 (Electronic) Linking ISSN: 16134516 NLM ISO Abbreviation: J Integr Bioinform Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1515/jib-2025-0052
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              Text: 2026 Jun 17
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