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1000 Titel
  • Quantitative monitoring of nucleotide sequence data from genetic resources in context of their citation in the scientific literature
1000 Autor/in
  1. Lange, Matthias |
  2. Alako, Blaise T.F. |
  3. Cochrane, Guy |
  4. Ghaffar, Mehmood |
  5. Mascher, Martin |
  6. Habekost, Pia-Katharina |
  7. Hillebrand, Upneet |
  8. Scholz, Uwe |
  9. Schorch, Florian |
  10. Freitag, Jens |
  11. Scholz, Amber |
1000 Erscheinungsjahr 2021
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-12-29
1000 Erschienen in
1000 Quellenangabe
  • 10(12):giab084
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://dx.doi.org/10.1093/gigascience/giab084 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716361/ |
1000 Ergänzendes Material
  • https://doi.ipk-gatersleben.de/DOI/8d5e2634-88ac-4f0f-9859-cb2006091775/a6ca2009-3cce-4dc4-bdf0-c7cb54f5156f/2 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Linking nucleotide sequence data (NSD) to scientific publication citations can enhance understanding of NSD provenance, scientific use, and reuse in the community. By connecting publications with NSD records, NSD geographical provenance information, and author geographical information, it becomes possible to assess the contribution of NSD to infer trends in scientific knowledge gain at the global level. FINDINGS: We extracted and linked records from the European Nucleotide Archive to citations in open-access publications aggregated at Europe PubMed Central. A total of 8,464,292 ENA accessions with geographical provenance information were associated with publications. We conducted a data quality review to uncover potential issues in publication citation information extraction and author affiliation tagging and developed and implemented best-practice recommendations for citation extraction. We constructed flat data tables and a data warehouse with an interactive web application to enable ad hoc exploration of NSD use and summary statistics. CONCLUSIONS: The extraction and linking of NSD with associated publication citations enables transparency. The quality review contributes to enhanced text mining methods for identifier extraction and use. Furthermore, the global provision and use of NSD enable scientists worldwide to join literature and sequence databases in a multidimensional fashion. As a concrete use case, we visualized statistics of country clusters concerning NSD access in the context of discussions around digital sequence information under the United Nations Convention on Biological Diversity.
1000 Sacherschließung
lokal data citation
lokal Convention on Biological Diversity
lokal European Nucleotide Archive
lokal Europe PMC
lokal digital sequence information
lokal nucleotide sequence data
lokal text mining
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4316-078X|https://orcid.org/0000-0001-6859-4421|https://orcid.org/0000-0001-7954-7057|https://orcid.org/0000-0001-5062-5429|https://orcid.org/0000-0001-6373-6013|https://orcid.org/0000-0002-6067-2322|https://orcid.org/0000-0002-3312-4013|https://orcid.org/0000-0001-6113-3518|https://orcid.org/0000-0001-6495-8611|https://orcid.org/0000-0001-6905-5497|https://orcid.org/0000-0002-3461-0881
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
1000 Fördernummer
  1. 031B0862
1000 Förderprogramm
  1. WiLDSI: Wissensbasierte Lösungsansätze für Digitale Sequenzinformation
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm WiLDSI: Wissensbasierte Lösungsansätze für Digitale Sequenzinformation
    1000 Fördernummer 031B0862
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6438308.rdf
1000 Erstellt am 2022-11-08T15:10:08.637+0100
1000 Erstellt von 325
1000 beschreibt frl:6438308
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Mon Nov 21 08:47:55 CET 2022
1000 Objekt bearb. Mon Nov 21 08:44:49 CET 2022
1000 Vgl. frl:6438308
1000 Oai Id
  1. oai:frl.publisso.de:frl:6438308 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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