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Toward a new data standard for combined marine biological and environmental datasets - expanding OBIS beyond species occurrences
De Pooter, D.; Appeltans, W.; Bailly, N.; Bristol, S.; Deneudt, K.; Eliezer, M.; Fujioka, E.; Giorgetti, A.; Goldstein, P.; Lewis, M.; Lipizer, M.; Mackay, K.; Marin, M.; Moncoiffe, G.; Nikolopoulou, S.; Provoost, P.; Rauch, S.; Roubicek, A.; Torres, C.; Van de Putte, A.; Vandepitte, L.; Vanhoorne, B.; Vinci, M.; Wambiji, N.; Watts, D.; Salas, E.K.; Hernandez, F. (2017). Toward a new data standard for combined marine biological and environmental datasets - expanding OBIS beyond species occurrences. Biodiversity Data Journal 5: e10989. http://dx.doi.org/10.3897/BDJ.5.e10989
In: Biodiversity Data Journal. Pensoft Publishers: Sofia. ISSN 1314-2836; e-ISSN 1314-2828
Peer reviewed article  

Available in  Authors 
    Vlaams Instituut voor de Zee: Open access 297977 [ download pdf ]

Keywords
    Data > Oceanographic data
    Marine/Coastal
Author keywords
    Darwin Core Archive; sample event; species occurrence; environmental data; ecosystem data; telemetry data; data standardisation

Authors  Top 
  • De Pooter, D.
  • Appeltans, W.
  • Bailly, N.
  • Bristol, S.
  • Deneudt, K.
  • Eliezer, M.
  • Fujioka, E.
  • Giorgetti, A.
  • Goldstein, P.
  • Lewis, M.
  • Lipizer, M.
  • Mackay, K.
  • Marin, M.
  • Moncoiffe, G.
  • Nikolopoulou, S.
  • Provoost, P.
  • Rauch, S.
  • Roubicek, A.
  • Torres, C.
  • Van de Putte, A.
  • Vandepitte, L.
  • Vanhoorne, B.
  • Vinci, M.
  • Wambiji, N.
  • Watts, D.
  • Salas, E.K.
  • Hernandez, F.

Abstract
    The Ocean Biogeographic Information System (OBIS) is the world’s most comprehensive online, open-access database of marine species distributions. OBIS grows with millions of new species observations every year. Contributions come from a network of hundreds of institutions, projects and individuals with common goals: to build a scientific knowledge base that is open to the public for scientific discovery and exploration and to detect trends and changes that inform society as essential elements in conservation management and sustainable development. Until now, OBIS has focused solely on the collection of biogeographic data (the presence of marine species in space and time) and operated with optimized data flows, quality control procedures and data standards specifically targeted to these data. Based on requirements from the growing OBIS community to manage datasets that combine biological, physical and chemical measurements, the OBIS-ENV-DATA pilot project was launched to develop a proposed standard and guidelines to make sure these combined datasets can stay together and are not, as is often the case, split and sent to different repositories. The proposal in this paper allows for the management of sampling methodology, animal tracking and telemetry data, biological measurements (e.g., body length, percent live cover, ...) as well as environmental measurements such as nutrient concentrations, sediment characteristics or other abiotic parameters measured during sampling to characterize the environment from which biogeographic data was collected. The recommended practice builds on the Darwin Core Archive (DwC-A) standard and on practices adopted by the Global Biodiversity Information Facility (GBIF). It consists of a DwC Event Core in combination with a DwC Occurrence Extension and a proposed enhancement to the DwC MeasurementOrFact Extension. This new structure enables the linkage of measurements or facts - quantitative and qualitative properties - to both sampling events and species occurrences, and includes additional fields for property standardization. We also embrace the use of the new parentEventID DwC term, which enables the creation of a sampling event hierarchy. We believe that the adoption of this recommended practice as a new data standard for managing and sharing biological and associated environmental datasets by IODE and the wider international scientific community would be key to improving the effectiveness of the knowledge base, and will enhance integration and management of critical data needed to understand ecological and biological processes in the ocean, and on land.

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