Published October 19, 2021 | Version 01
Other Open

Dataverse Curation Guide

Creators

  • 1. Queen's University
  • 2. Wilfrid Laurier University
  • 3. Université de Montréal
  • 4. The Digital Research Alliance of Canada
  • 5. Dalhousie University
  • 6. McMaster University

Contributors

Project member:

  • 1. Queen's University, Scholars Portal

Description

This guide provides step-by-step instructions for curating new datasets deposited in Dataverse. The guide is framed around the acronym CURATION to provide an easy reminder for curators, especially those starting out, of the main steps in the curation process. This framework is adapted from the Data Curation Network’s CURATED steps for use in a bilingual context.

Files

Dataverse_Curation_Guide_EN_v01.pdf

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Additional details

Related works

Is supplemented by
Report: 10.5281/zenodo.5579826 (DOI)