• Part of
    Ubiquity Network logo
    Join Mailing List Publish with us

    Read Chapter
  • No readable formats available
  • Data quality in crowdsourcing for biodiversity research: issues and examples

    Clemens Jacobs

    Chapter from the book: Capineri, C et al. 2016. European Handbook of Crowdsourced Geographic Information.

    Buy Paperback

    The last few years have seen the emergence of a large number of worldwide web portals where volunteers report and collect observations of plants and animals, share these reports with other users, and provide data for scientific research purposes along the way. Activities engaging citizens in the collection of scientific data or in solving scientific problems are collectively called citizen science. Data quality is a vital issue in this field. Currently, reports of species observations from citizen scientists are often validated manually by experts as a means of quality control. Experts evaluate the plausibility of a report based on their own expertise and experience. However, a rapid growth in the quantity of reports to be processed makes this approach increasingly less feasible, creating a need for methods supporting (semi)automatic validation of observation data. This aim is achieved primarily by analysing the spatial and temporal context of the data. Relevant context information can be provided by existing observation data, as well as by spatial data of environmental factors, or other spatio-temporal factors impacting the distribution of species, or the process of observation and contribution itself. It is very important that the specific properties of data emerging from citizen science origins are taken into account. These data are often not produced in a systematic way, resulting in (for instance) spatial and temporal incompleteness. Also, the data structure is not only determined by the natural spatio-temporal patterns of species distribution, but by other factors such as the behaviour of contributors or the design of the citizen science project that produced the data as well.

    Chapter Metrics:

    How to cite this chapter
    Jacobs, C. 2016. Data quality in crowdsourcing for biodiversity research: issues and examples. In: Capineri, C et al (eds.), European Handbook of Crowdsourced Geographic Information. London: Ubiquity Press. DOI: https://doi.org/10.5334/bax.f

    This is an Open Access chapter distributed under the terms of the Creative Commons Attribution 4.0 license (unless stated otherwise), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. Copyright is retained by the author(s).

    Peer Review Information

    This book has been peer reviewed. See our Peer Review Policies for more information.

    Additional Information

    Published on Aug. 25, 2016


    comments powered by Disqus