OECD Principles and Guidelines for Access to Research Data from Public Funding

AbstractResearch data management planning (RDMP) is the process through which researchers first get acquainted with research data management (RDM) matters. In recent years, public funding agencies have implemented governmental policies for removing barriers to access to scientific information. Researchers applying for funding at public funding agencies need to define a strategy for guaranteeing that the acquired funds also yield high-quality and reusable research data. To achieve that, funding bodies ask researchers to elaborate on data management needs in documents called data management plans (DMP). In this study, we explore several organizational and technological challenges occurring during the planning phase of research data management, more precisely during the grant submission process. By doing so, we deepen our understanding of a crucial process within research data management and broaden our understanding of the current stakeholders, practices, and challenges in RDMP.

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Implementing Research Data Management Services in a Canadian Context

Dalhousie Journal of Interdisciplinary Management ◽

10.5931/djim.v12i1.6458 ◽

2016 ◽

Vol 12 (1) ◽

Author(s):

Tess Grynoch

Keyword(s):

Data Management ◽

Research Universities ◽

Data Dissemination ◽

Service Providers ◽

Public Funding ◽

Research Data ◽

Service Development ◽

Research Data Management ◽

New Public ◽

Management Plans

Research data management (RDM) has become an increasingly pressing issue for academic libraries as they strive to assist researchers in addressing new public funding requirements surrounding data dissemination and preservation. Briney, Goben, & Zilinski (2015) reviewed several characteristics of RDM service provision efforts by 206 American research universities. Following a similar methodology, the author reviewed RDM service development within Canadian research universities and compared the results to the American efforts. The main area requiring development in Canada is the provision of RDM services. Therefore, some current best practices for implementing RDM services were gathered through a literature review. The successful approaches highlighted in the literature include awareness of funder and institutional data policies, reaching out to data service providers on campus and beyond, understanding researcher data management needs and finding RDM champions, implementing research data services strategically, planning for growth in RDM services, marketing the RDM services, and creating incentives to create data management plans and utilize RDM services. Third Place DJIM Best Article Award.

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