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Data · dataset · 2022

Sowing Seeds: A case study of training interventions to support new RDM requirements in environmental and agricultural research at the University of Guelph.

Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp3/14dhat

The Ontario Agri-Food Innovation Alliance (the Alliance) is a major multi-year partnership between the Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA) and the University of Guelph.

Description

The Food from Thought program is funded in part for a 7-year term from the Canada First Research Excellence Fund (CFREF), a Tri-Agency initiative. In 2018, these two programs established new funding requirements, requiring a data management plan (DMP) for approved research projects at the University of Guelph.

These requirements centred on improving the effectiveness and efficiency of research projects through the implementation of sound data stewardship practices when collecting, analyzing, storing, preserving, and, when possible, sharing research data. As part of the funders’ commitment to improved data stewardship, each approved research project would include the submission of a DMP to the relevant funder. A suite of support services and resources were developed as a collaborative pilot project between the Library and the Office of Research to assist researchers in meeting the new requirements.

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Central to this project was the design of an online agri-food DMP template.The scope for this project included research funded between September 2018 until December 2019 covering 106 Alliance research projects and 45 Food from Thought projects. This pilot project built upon existing local RDM support and is based on identified international best practices. Following the end of the pilot project, a review was undertaken by the Office of Research, Agri-Food Partnership and the Library to assess the value and effectiveness of the RDM supports with particular emphasis on the efficacy of the DMP template and rollout.

This survey comprises a major source of information for the review.

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Catalogue records · 1

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Provenance · 2 source records, 27 field assertions
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Borealisdoi:10.5683/SP3/14DHAT12 d agoJSON v1
Agri-environmental Research Data Dataversedoi:10.5683/SP3/14DHAT11 d agoJSON v1
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