RDM at Fanshawe College

Fanshawe College supports researchers in the management of their research data. CRI strives to adhere to Canada’s Tri-Agency Policy on Research Data Management:

 

"The agencies believe that research data collected with the use of public funds should be responsibly and effectively managed and belong, to the fullest extent possible, in the public domain and available for reuse by others"
(Tri-Agency Research Data Management Policy For Consultation)

 

"As publicly funded organizations, the agencies are strong advocates for making the results of the research they fund as accessible as possible. In promoting access to research results, they aspire to advance knowledge, avoid research duplication and encourage reuse, maximize research benefits to Canadians and showcase the accomplishments of Canadian researchers"

(Tri-Agency Statement of Principles on Digital Data Management, 2016)

Objectives

  • To promote research excellence through the adoption of best practices in data management
  • To evaluate current institutional capacity in the area of data management
  • To identify supports and resources required to ensure research data stewardship
  • To devise a plan to develop institutional capacity
  • To provide clear guidance on data ownership and protection
  • To ensure security in data storage, retention and transfer
  • To encourage safe and ethical data sharing and reuse, particularly in the case of funded research
  • To balance open dissemination of knowledge with efforts to engage industry/community partnerships through commercialization of research

CRI RDM strategy

  • Raise awareness within the research community about the benefits of and best practices in data management and impending policy requirements
  • Assess institutional readiness to manage data holdings
  • Formalize RDM practices through the adoption of guidelines and procedures which provide clarity and strengthen community engagement with the research process

RDM activities to date

  • “Managing your Research Data” workshop - February 2020
  • Faculty focus groups  - June 2020
  • RDM Institutional Survey – November 2021
  • Formation of RDM Steering Committee – January 2022

 

Data Management Planning

  • Brief Guide: Research Data Management
  • Brief Guide: Create an Effective Data Management Plan
  • Dealing with Sensitive Data
    • Storage: Sensitive data should be password protected and stored with encryption on a secure server with role-based rights.
    • Best practices: When dealing with human subject research try to collect anonymous data where possible or to de-identify the data as soon as possible after data collection. 
    • More information: Sensitive Data Toolkit for Researchers
  • Fanshawe DMP Assistant - A free tool to help researchers create data management plans.  Guidance and examples are provided throughout.
    • 1. Create a free DMP Assistant account.
    • 2. Sign in and select Fanshawe under Organizations.
    • 3. Answer the questions that are relevant to your project. (Be sure to review funder and/or institutional requirements for data management.)
    • 4. Save your work and update your DMP as you move through the stages of your project.

 

Data Sharing and Archiving

FIRST – Fanshawe Innovation, Research, Scholarship and Teaching Repository

Publish your work in Fanshawe’s institutional repository. FIRST can support most file types and may be your solution for open, aggregate data.

 

Federated Research Data Repository (FRDR)

FRDR is a national option for sharing Canadian research data. Deposit is free and a DOI is created for the record. FRDR allows for larger datasets with storage allocations in the terabytes available.