Data Science Journal (Jan 2020)

Data Curation Profiling to Assess Data Management Training Needs and Practices to Inform a Toolkit

  • Bradley Bishop,
  • Hannah Gunderman,
  • Rowena Davis,
  • Tina Lee,
  • Rebecca Howard,
  • Robert Samors,
  • Fiona Murphy,
  • Judit Ungvari

DOI
https://doi.org/10.5334/dsj-2020-004
Journal volume & issue
Vol. 19, no. 1

Abstract

Read online

The purpose of this paper is to explore current data management training needs and practices for Belmont Forum member agencies and researchers to inform a Toolkit. Fourteen Belmont Forum affiliated individuals were interviewed following a predetermined set of questions to create data curation profiles of their funded work. The data curation profile questionnaire includes questions related to data management, storage, stakeholders, costs, training, and credentials. The interview findings highlight gaps in existing knowledge of data management theory and practice that could impact data re-use. Results of these interviews were used to populate a Toolkit of data management training and effective practice resources specifically developed to train Belmont Forum grant awardees. The results also highlight some attitudes and behaviours of current scientists, researchers, and agency representatives, and the impact of the implementation of data management plans on the open science movement.

Keywords