Findable and reusable? Data discovery practices in research

Research output: PhD ThesisPhD thesis

Abstract

The reuse of research data is heralded as having the potential to increase effectiveness, productivity, and reproducibility in science. Stakeholders from funders to systems designers work to create policies, repositories and tools to support and encourage opening and sharing data. An assumption underlying this work is that data will be reused if they are shared. Another assumption predicating reuse is that data will be discovered by researchers, although relatively little empirical work exists to support this assumption.

This dissertation presents empirical research about the practices involved in discovering data, examining what researchers across disciplines are actually doing as they find, make sense of and use data which they have not created. It brings together perspectives from information science (IS), computer science (CS) and science and technology studies (STS) to examine these practices with the aim of informing and intervening into the design of search solutions for research data.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Supervisors/Advisors
  • Wyatt, S., Promotor
  • Groth, Paul, Promotor
  • Scharnhorst, Andrea, Co-promotor
Award date02 Mar 2021
DOIs
Publication statusPublished - 2021

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