The Finnish Biodiversity Information Facility as a best-practice model for biodiversity data infrastructures

Autor: Esko Piirainen, Aino Juslén, Leif Schulman, Olli Antero Raitio, Mikko Heikkinen, Kari Lahti
Přispěvatelé: Unit of Biodiversity Informatics, Finnish Museum of Natural History, Zoology
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Scientific Data
Scientific Data, Vol 8, Iss 1, Pp 1-16 (2021)
Popis: Biodiversity informatics has advanced rapidly with the maturation of major biodiversity data infrastructures (BDDIs), such as the Global Biodiversity Information Facility sharing unprecedented data volumes. Nevertheless, taxonomic, temporal and spatial data coverage remains unsatisfactory. With an increasing data need, the global BDDIs require continuous inflow from local data mobilisation, and national BDDIs are being developed around the world. The global BDDIs are specialised in certain data types or data life cycle stages which, despite possible merits, renders the BDDI landscape fragmented and complex. That this often is repeated at the national level creates counterproductive redundancy, complicates user services, and frustrates funders. Here, we present the Finnish Biodiversity Information Facility (FinBIF) as a model of an all-inclusive BDDI. It integrates relevant data types and phases of the data life cycle, manages them under one IT architecture, and distributes the data through one service portal under one brand. FinBIF has experienced diverse funder engagement and rapid user uptake. Therefore, we suggest the integrated and inclusive approach be adopted in national BDDI development.
Databáze: OpenAIRE