McGill Research Data Management Strategy - v3.0 -
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Goal #1: Increase Awareness
- Obj. 1.1: Promote McGill’s Institutional RDM Strategy to research community members
- Obj. 1.2: Provide forums for feedback to advance RDM efforts at McGill
- Obj. 1.3: Empower researchers to adopt robust RDM practices by leveraging existing institutional resources
- Obj. 1.4: Foster domain-specific communities of practice through symposia, workshops, targeted outreach, and partnerships
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Goal #2: Expand RDM Support and Training
- Obj. 2.1: Provide RDM training programs for researchers and students aligning with collaborative efforts both nationally and internationally
- Obj. 2.2: Work with the research community and key stakeholders (e.g., ethics, IT services, procurement, and legal) to improve the following core RDM service domains:
- Obj. 2.2.1: Data management plans (DMPs)
- Obj. 2.2.2: Data sharing, deposit, and preservation
- Obj. 2.3: Leverage existing networks of research support professionals, including the McGill , liaison librarians, and the (the Alliance), to expand frontline RDM consultation capacity
- Obj. 2.4: Expand and improve support and training services using evidence-based evaluations and reviews
- Obj. 2.5: Increase numbers of staff with expertise to provide RDM-related support and services to advise researchers in RDM best practices
- Obj. 2.6: Increase RDM skills and competencies training across the academic curriculum
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Goal #3: Establish a formal governance structure for research data at McGill
- Obj. 3.1: Form an advisory research data committee to the VP-RI, comprised primarily of faculty members with representatives from key stakeholders (e.g., IT, Library, VP-RI, Provost, Research Ethics Boards, etc.) to:
- Obj. 3.1.1: Complete an analysis of relevant policies to ensure our institutional RDM framework is both coherent and in compliance with applicable laws and regulations
- Obj. 3.1.2: Establish roles and responsibilities for compliance with the Tri-Agency RDM policy
- Obj. 3.1.3: Propose revisions to, and updates of, existing research data-related policies
- Obj. 3.1.4: Support departments and faculties in recognizing and rewarding efforts to value good RDM practices and ethical data sharing when possible
- Obj. 3.2: Strengthen communication and coordination with Affiliated Hospitals and research institutes in establishing more streamlined RDM workflows and processes
- Obj. 3.3: Pursue a research data stewardship model that positions McGill as a leader within the larger ecosystem of national and international RDM organizations
- Obj. 3.3.1: Recommend the hiring of a research data privacy officer to oversee institutional capacity in accordance with applicable privacy laws and regulations
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Goal #4: Develop RDM Services Through Partnerships
- Obj. 4.1: Seek commitments and investments from RDM service providers, funders, and governmental agencies, to ensure the long-term sustainability of institutional RDM support
- Obj. 4.2: Establish long-term partnerships
- Obj. 4.2.1: Partner with provincial and national RDM infrastructure providers (e.g., , and its repository, , etc.) and existing research community platforms to address gaps in repository technologies for managing, sharing, depositing, and archiving sensitive data and large data
- Obj. 4.3: Grow institutional RDM capacity
- Obj. 4.3.1: Develop expertise in RDM amongst research support staff (e.g., grant officers and IT support staff), REB staff and members, and librarians
- Obj. 4.3.2: Promote integrated interoperable systems for research-related records (e.g., DMPs, REB protocols, and institutional grant management)
- Obj. 4.3.3: Focus on ensuring equitable, diverse, and inclusive representation in RDM-related roles
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