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Research Data Management: Home

This guide will briefly outline Research Data Management (RDM) and some of the resources available.

About this Guide

This guide will briefly outline Research Data Management (RDM) and some of the resources available. 

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MANTRA: Professor Lynn Jamieson - Importance of data management

Draft Tri-Agency Statement of Principles on Digital Data Management

The Tri-Agencies (SSHRC, NSERC and CIHR) have developed a draft Statement of Principles on Digital Data Management outlining the Agencies’ overarching expectations with regard to digital research data management, and the responsibilities of researchers, research communities, institutions and funders in meeting these expectations. It complements and builds upon existing Agency policies, and will serve as a guide to assist the research community in preparing for, and contributing to the development of, Tri-Agency data management requirements.


What is Research Data Management?

Research Data Management (RDM) refers to all aspects related to the organization, management, dissemination, and preservation of research data. It is an essential part of the responsible conduct of research.

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Why is Research Data Management important? 

Effective data management will:

  • Save time: Planning for your data management needs ahead of time will save you time and resources in the long run.
  • Increase your research efficiency: Have you ever had a hard time understanding the data that you or your colleagues have collected? Documenting your data throughout its life cycle saves time because it ensures that in the future you and others will be able to understand and use your data.
  • Facilitate new discoveries: Enabling other researchers to use your data reinforces open scientific inquiry and can lead to new and unanticipated discoveries. And doing so prevents duplication of effort by enabling others to use your data rather than trying to gather the data themselves.
  • Meet grant requirements: Many funding agencies now require that researchers deposit in an archive data which they collect as part of a research project.
  • Support Open Access: Researchers are becoming increasingly more aware of the need to manage their work and consider issues of scholarly communication. The Open Data movement advocates for researchers to share their data in order to foster the development of knowledge.
  • Increase Research Impact: by maximizing the visibility of the data and promoting transparency in search
  • Ensure compliance: to meet the requirements of the institution or funding agency
  • Improve accessibility: ensuring that the quality and integrity of the data is maintained during and beyond the life cycle of the project
  • Safeguard research data: by establishing appropriate storage, back-up and management

(Source: MIT's Guide to Data Management and Publishing and Curtin Library, Research Data Management.)

Research Data Resources

The Portage Network 
Launched in 2014 by the Canadian Association of Research Libraries, Portage works within the library community to coordinate expertise, services, and technology in research data management, seeking to collaborate with other research data management stakeholders.

Portage’s DMP Assistant is a tool that is freely available to all researchers and provides specialized guidance to help researchers develop their own data management plan. It takes users step-by-step through a series of questions based on a general template for research data stewardship. It also offers the option of fulfilling DMP requirements of specific funders or using templates from other organizations.

The Ontario Library Research Cloud 
The OLRC a high capacity, geographically distributed cloud storage network developed by a number of university libraries in Ontario. As OCUL members we are exploring the feasibility of offering the OLRC as a means of delivering cost effective, sustainable, long-term preservation, archiving and management of large volumes of digital content here at OCAD University.

The Scholars Portal Dataverse network is a repository for research data collected by individuals and organizations associated with Ontario's universities. Dataverse is an online platform to share, preserve, cite, explore and analyze research data. Scholars Portal hosts an instance of the Dataverse, an open source web application that is developed by the Institute for Quantitative Social Sciences (IQSS) located at Harvard University. Scholars Portal Dataverse is a shared OCUL service open to anyone, but primarily for students, faculty, and staff of Ontario universitiesResearchers affiliated with Ontario universities can manage and publish their data on the SP DataverseNetwork. Researchers can directly deposit data, create textual descriptions (metadata) for data set(s), and release and share data openly or privately under customized access conditions.

Chris Landry

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