Lost or Found? Discovering Data Needed for Research

Kathleen Gregory, Paul Groth, Andrea Scharnhorst, Sally Wyatt

Research output: Contribution to journal/periodicalArticleScientificpeer-review

162 Downloads (Pure)


Finding or discovering data is a necessary precursor to being able to reuse data, although relatively little large-scale empirical evidence exists about how researchers discover, make sense of and (re)use data for research. This study presents evidence from the largest known survey investigating how researchers discover and use data that they do not create themselves. We examine the data needs and discovery strategies of respondents, propose a typology for data (re)use and probe the role of social interactions and other research practices in data discovery, with the aim of informing the design of community-centric solutions and policies.
Original languageEnglish
JournalHarvard Data Science Review
Publication statusPublished - 30 Apr 2020

Fingerprint Dive into the research topics of 'Lost or Found? Discovering Data Needed for Research'. Together they form a unique fingerprint.

  • Research Output

    Lost or found? Discovering data needed for research

    Gregory, K., Groth, P., Scharnhorst, A. & Wyatt, S., 2019, (Submitted).

    Research output: Working paper/discussion paperPreprintScientific

  • Datasets

    Searching Data: A Review of Observational Data Retrieval Practices

    Gregory, K. (Creator), Data Archiving and Networked Services (DANS), 18 Jul 2017


    Cite this