Bibliographic Details
| Title: |
FAIR Data Management for Genomics Observatories. |
| Authors: |
Exter, Katrina1 katrina.exter@vliz.be, Decruw, Cedric1 cedric.decruw@vliz.be, Kotoulas, Georgios2 kotoulas@hcmr.gr, Mavraki, Dimitra1 dmavraki@hcmr.gr, Obst, Matthias3 matthias.obst@marine.gu.se, Pavloudi, Christina2 cpavloud@hcmr.gr, Portier, Marc1 marc.portier@vliz.be, Tyberghein, Lennert1 lennert.tyberghein@vliz.be |
| Source: |
Bollettino di Geofisica Teorica ed Applicata. 2021 Supplement, Vol. 62, p269-270. 2p. |
| Subject Terms: |
*DATA management, *OBSERVATORIES, *METADATA, *GENOMICS, *INFORMATION storage & retrieval systems, *BIODIVERSITY monitoring, *MARINE biodiversity |
| Abstract: |
To take full advantage of data from GOs - whoever produces the data - it is necessary that their data are FAIR: the data are findable in community catalogues, they can be accessed by human and machine, they use community standards in the data formats and the metadata vocabularies, provenance is fully documented; and ideally - but not necessarily - the data are also open access. Such data may be used to calculate Essential Biodiversity Variables (EBVs) and can provide important information for predictive modelling of marine biodiversity. Taking into account the complexity of GO data - with (a)biotic, genomic, geographic, and etc. parameters that need to be linked in a humanly-understandable but machine-interoperable way - it is clear that solid thinking and planning about the management of the data is essential. [Extracted from the article] |
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| Database: |
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