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1000 Titel
  • Application of the RDF framework to integrate heterogenous experimental data of a large chemo- and biodiverse collection from a collaborative research project
1000 Autor/in
  1. Burdet, Frederic |
  2. Allard, Pierre-Marie |
  3. Nothias, Louis-Felix |
  4. Kirchhoffer, Olivier |
  5. Gaudry, Arnaud |
  6. Moretti, Sebastien |
  7. Engler, Robin |
  8. Quiros-Guerrero, Luis-Manuel |
  9. Ferreira Queiroz, Emerson |
  10. Nitschke, Jahn |
  11. Hanna, Nabil |
  12. Wu, Chunyan |
  13. Grondin, Antonio |
  14. David, Bruno |
  15. Soldati, Thierry |
  16. Wolfrum, Christian |
  17. Carreira, Erick |
  18. Wolfender, Jean-Luc |
  19. Pagni, Marco |
  20. Mehl, Florence |
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Kongressschrift |
1000 Online veröffentlicht
  • 2024-03
1000 Erschienen in
1000 Übergeordneter Kongress
1000 Lizenz
1000 Verlagsversion
  • https://www.swat4ls.org/workshops/leiden2024/programme/accepted-submissions-swat4hcls-2024/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Plants have a complex chemo-diversity and represent a reservoir of potential new therapeutic agents. Within a Swiss research project, six scientific research groups from different disciplines are collaborating to investigate a collection of more than 17’000 unique dried plant extracts. It aims to find new bioactive molecules and their modes of action, with for example anti-infective or pro-metabolic activities. One of the main challenges of this enterprise is the management, integration and sharing of the highly heterogeneous data that are produced by the different research groups. Among these we find (i) massive high-quality mass spectrometry data, (ii) the numerical results of innovative chemo-informatics methods, (iii) bioassay results from experimental models of tuberculosis and obesity, and (iv) organic synthetic chemistry. Additionally, requirements for data management plan and open-source science with the FAIR principles must be met. We have established an agile pipeline to capture and structure this heterogeneous data into an RDF graph. The data content's gradual expansion and evolution throughout the project presented considerable challenges, particularly in terms of data modeling. Additionally, despite many collaborators not being RDF experts, most were technically adept at producing RDF triples relevant to their contributions. We have deployed multiple instances of a triplestore and developed an in-house custom tool (i.e. KGSteward) to synchronize their content, based on a configuration file, which is centrally managed and version-controlled using Git. This strategy gave us the flexibility required to address global project challenges in common data management effectively.
1000 Fächerklassifikation (DDC)
1000 DOI 10.4126/FRL01-006472845 |
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung |
1000 Fördernummer
  1. CRSII5_189921
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung |
    1000 Förderprogramm -
    1000 Fördernummer CRSII5_189921
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6472845.rdf
1000 Erstellt am 2023-12-27T13:45:27.298+0100
1000 Erstellt von 338
1000 beschreibt frl:6472845
1000 Bearbeitet von 339
1000 Zuletzt bearbeitet 2024-03-20T10:52:27.639+0100
1000 Objekt bearb. Wed Mar 20 10:52:07 CET 2024
1000 Vgl. frl:6472845
1000 Oai Id
  1. oai:frl.publisso.de:frl:6472845 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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