Research data management

The Laurier Library provides a variety of research data management (RDM) services that support the research mission of the University.

What is research data and research data management (RDM)?

Research data are data that are used as primary and secondary sources to support research and scholarship, and are used as evidence to validate or replicate research findings (CASRAI).

Research data management (RDM) refers to the organizaton and management of data through the entire research lifecycle, from project planning and through the active phase of collection, analysis and publication, to archiving and dispossession. Research data management aims to ensure reproducable, verifiable results, and permit new research based on exisiting information (Whyte & Tedds, 2011).

Good RDM practices utilize a framework of principles and standards to improve data collection, curation, security, archiving, publication, and dispossession activities. These principles include the FAIR principles of data management, the First Nations Principles of OCAP (i.e., ownership, control, access, and possession), as well as data-related principles in TCPS2 and protocols and procedures within the wider research and RDM ecosystem. This is in keeping with the Tri-Agency expectation that research be “conducted to the highest professional and disciplinary standards . . . [that] support research excellence by ensuring that research is performed ethically and makes good use of public funds, experiments and studies are replicable, and research results are as accessible as possible.” (Tri-Agency statement).

Laurier Library’s RDM Services 

Data Management Planning (DMPs)

  • The Library provides one-on-one DMP consulting to Laurier researchers with our DMP Assistant. These services help researchers articulate their data management methodologies and plans, and help satisfy DMP-related requirements from Tri-Agency and many other grant bodies. Depending on your need, we advise or collaborate in the development of your DMP.

Data Deposit and Curation (Data Archiving)

  • The Library provides data deposit and data curation services to the University community with its Dataverse platform. Dataverse is a standards-based research data repository that will provide a home for your data findings and meet your Tri-Agency data deposit requirements. Research data submitted to Dataverse is curated by our specialists, provided a DOI, and made findable on both public and scholarly search engines.
  • Researchers associated with Laurier may submit data to our Dataverse repository. This includes processed findings, data associated with publication, historical data, and data associated with PhD dissertations and Master’s theses. Dataverse can also be used by research labs to strengthen their data legacy by creating a repository of its data. Data must be open, but researchers retain their copyright. Files must be under 3GB and cleared of sensitivities. Unlike many other repositories, there is no direct cost to researchers.

Training and Consultation

  • The Library offers training and consultation services for research data management, including workshops, webinars, and in-person meetings with labs, classes, and departments. Topics include:
  • Introduction to Research Data Management
  • The Tri-Agency Research Data Management framework
  • Data Management Plans (workshop can include writing the DMP)
  • Data Deposit and Data Archiving
  • Data Curation
  • Formatting Data in Excel
  • Developing a Data Policy

Who can I contact to talk about RDM?

For more information, contact Research Data Services or Michael Steeleworthy, the Laurier Data Librarian.