Data CAP and Reproducible Research: The memoir of data curators

Olusola Afuwape
17-Mar-2022

Data Collection Accuracy and Precision

  • Collection: collate and combine data and metadata from different sources

  • Accuracy: the degree of closeness to the accepted standard

  • Precision: reproducible, repeatability of a measurement, low variability of values

  • Accuracy: implies the level of agreement

  • Precision: illustrates the level of variation

Pictorial illustration


Illustration

Data Curation


  • Organize and integrate data from different sources
  • Enhance the value of data and maintain over time
  • Active management of research data to produce FAIR datasets

    FAIR

    • Findable: easy to find data and metadata
    • Accessible: retrievable, open, free and universally implementable
    • Interoperable: broad application across platform and language
    • Reusable: can be replicated and meet relevant domain standards

    Relevance

    • Scientific reproducibility: a common pedestal for data professionals and researchers
    • Curation for reproducibility: ensures validation of statistical and analytic claims
    • Data curation: the genesis of software curation and reproducibility

      Members of the WG

      Name Affiliation Position Country
      1 Akeem Sikiru, PhD Federal University of Technology, Minna Research Associate NIGERIA
      2 Bridget Mcfarland, PhD USDA-APHIS Scientific Researcher USA
      3 Doreen Ware, PhD USDA ARS Computational Biologist USA
      4 Julia Piaskowski, PhD University of Idaho Statistician USA
      5 Kate Dreher, PhD CIMMYT Data Curator MEXICO
      6 Miaoling Chai, PhD Chengdu Documentation and Information Center, Chinese Academy of Sciences Scientific Researcher CHINA
      7 Olusola Afuwape, DVM University of Lagos Post graduate Student NIGERIA
      8 Rukayat Balogun, B Pharm University of Lagos Post graduate Student NIGERIA

      Data CAP - the basis of reproducibility


      Data CAP - the sure foundation of Agbiodata


      Thanks