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    An open,efficient, and transparent spatial reproducible reporting tool for data discovery and science advice.

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    Date
    2022
    Author
    Stoyel, Quentin
    Finnis, Stephen
    Gomez, Catalina
    Lazin, Gordana
    Daigle, Rémi
    Brager, Lindsay
    Hamer, Adrian
    Smith, Charlotte
    Beauchesne, David
    Cazelles, Kevin
    Butler, Sean
    Status
    Published
    Pages
    27pp.
    
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    Abstract
    Open and reproducible research practices offer a means to keep pace with rapidly expanding knowledge as science becomes increasingly data-intensive.The Science branch of Fisheries and Oceans Canada (DFO) encompasses a range of research topics yet approaches to data governance are often impeded by siloed groups and out dated workflows. Using R for coding and Git for version control,we developed a tool that generates automated reports to enable data-discovery of DFO and non-DFO information within the Maritimes region.We focus our framework on co-creation between report users,data providers,and experts to document and identify datasets along with their caveats,uncertainties,or other disclaimers.We also proactively use this as an opportunity to increase collaboration and transparency within DFO by highlighting how reproducible methods can increase efficiency and modernize workflows. Reports currently summarize over thirty datasources, with approximately twenty Reports generated thus far.Th.....
    Resource URL
    https://publications.gc.ca/collections/collection_2022/mpo-dfo/Fs97-6-3495-eng.pdf
    Publisher
    Bedford Institute of Oceanography
    Dartmouth, NS, Canada
    Series;Nr
    Canadian Technical Report of Fisheries and Aquatic Sciences;3495
    Document Language
    en
    Sustainable Development Goals (SDG)
    14.a
    Maturity Level
    Mature
    ISBN
    978-0-660-44314-0
    ISSN
    1488-5379
    Citation
    Stoyel, Q., Finnis, S., Gomez, C., Lazin, G., Daigle, R., Brager, L., Hamer, A., Smith, C., Beauchesne, D., Cazelles, K. and Butler, S. (2022) An open,efficient, and transparent spatial reproducible reporting tool for data discovery and science advice. Dartmouth, NS, Canada, Bedford Institute of Oceanography. 27pp. (Canadian Technical Report of Fisheries and Aquatic Sciences, 3495). DOI: http://dx.doi.org/10.25607/OBP-1869
    URI
    https://repository.oceanbestpractices.org/handle/11329/2117
    http://dx.doi.org/10.25607/OBP-1869
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    • Miscellaneous Community Practices [469]

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