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A survey of biodiversity informatics: concepts, practices, and challenges
Gadelha, L.M.R.; Siracusa, P.C.; Dalcin, E.C.; Silva, L.A.E.; Augusto, D.A.; Krempser, E.; Affe, H.M.; Costa, R.L.; Mondelli, M.L.; Meirelles, P.M.; Thompson, F.; Chame, M.; Ziviani, A.; Siqueira, M.F. (2021). A survey of biodiversity informatics: concepts, practices, and challenges. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 11(1): e1394. https://dx.doi.org/10.1002/widm.1394
In: Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery: San Francisco. ISSN 1942-4787; e-ISSN 1942-4795, more
Peer reviewed article  
Available in  Authors 
Keyword
    Marine/Coastal
Authors  Top 
  • Gadelha, L.M.R.
  • Siracusa, P.C.
  • Dalcin, E.C.
  • Silva, L.A.E.
  • Augusto, D.A.
  • Krempser, E.
  • Affe, H.M.
  • Costa, R.L.
  • Mondelli, M.L.
  • Meirelles, P.M.
  • Thompson, F., more
  • Chame, M.
  • Ziviani, A.
  • Siqueira, M.F.
Abstract
    The unprecedented size of the human population, along with its associated economic activities, has an ever-increasing impact on global environments. Across the world, countries are concerned about the growing resource consumption and the capacity of ecosystems to provide resources. To effectively conserve biodiversity, it is essential to make indicators and knowledge openly available to decision-makers in ways that they can effectively use them. The development and deployment of tools and techniques to generate these indicators require having access to trustworthy data from biological collections, field surveys and automated sensors, molecular data, and historic academic literature. The transformation of these raw data into synthesized information that is fit for use requires going through many refinement steps. The methodologies and techniques applied to manage and analyze these data constitute an area usually called biodiversity informatics. Biodiversity data follow a life cycle consisting of planning, collection, certification, description, preservation, discovery, integration, and analysis. Researchers, whether producers or consumers of biodiversity data, will likely perform activities related to at least one of these steps. This article explores each stage of the life cycle of biodiversity data, discussing its methodologies, tools, and challenges.
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