The Future of Research Communications and e-Scholarship

Active Groups | Data usage typologies

Group leaders

Summary

In the evaluation of the use of shared data, a question that often arises is the context for the use of the data. The community wants to understand if the dataset is being used in the context of data-sharing as part of the original research (i.e. the authors mention a dataset they have created and shared) or whether the data is being used in new research endeavors (i.e. reused by other researchers, or by the same researchers for a new research project). There is also interest in a more nuanced understanding of the types of uses of data as part of research activities, for example, whether they are re-analysed on their own or as part of a larger collection of related datasets. Different groups are interested in gaining these nuanced insights into the use of data, for the purposes of meta-research or the impact of data outputs, but there is yet no community consensus as to how we conceptualize use and reuse of datasets. The Working Group will bring together representatives from the data ecosystem to generate a typology of data use types, along with recommendations on how to identify and utilize the usage types as part of metadata and data evaluation practices.

Goals

The Working Group will aim to develop a common typology of data uses, along with their description and associated characteristics, so that repositories, publishers, institutions, funders, infrastructure providers and meta-researchers can consistently capture, compare and evaluate the ways in which data is used.

Deliverables

  • Codified list of data use types
  • Common set of characteristics to identify each of the use types
  • Recommendations for how to capture data use types in metadata

Members

  • Lauren Cadwallader, PLOS
  • Matt Cannon, Taylor & Francis
  • Mélanie Courtot, University of Toronto
  • Danping Dong, Singapore Management University
  • Scott Edmunds, Gigascience
  • Chris Erdmann, SciLifeLab
  • Ester Ernest
  • Julian Gautier, Harvard university
  • Francoise Genova, Strasbourg Astronomical Observatory
  • José Benito González López, CERN/Zenodo 
  • Kathleen Gregory, Centre for Science & Technology Studies (CWTS), Leiden University
  • Maria Guerreiro, Dryad
  • Melissa Harrison, Europe PMC
  • Ivan Heibi, OpenCitations
  • Maggie Hellström, ICOS Carbon Portal
  • Kristi Holmes, Northwestern University
  • Eric Jeangirard, French Ministry of Higher Education and Research
  • Reyna Jenkyns, World Data System
  • Maria Johnsson, Lund University
  • Jennifer Kemp, Stratos
  • Arjun Krishnan, University of Colorado Anschutz
  • Paolo Manghi, OpenAIRE
  • Lubov McKone, Johns Hopkins
  • Andrea Medina-Smith, Sage
  • Dagmar Meyer, ERC
  • Monica Morrison, University of Saskatchewan
  • Daniel Noesgaard, Global Biodiversity Information Facility
  • Alberto Pepe, SAGE Bionetworks 
  • Elisabeth Shook, ICPSR
  • Graham Smith, Springer Nature
  • Ana van Gulick, Figshare 
  • Tim Vines, DataSeer
  • Brian Westra, University of Iowa
  • Elisha Wood-Charlson, Lawrence Berkeley National Lab
  • Wei Zakharov, Purdue University

Posts

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