Building a Culture of Data Sharing: Policy Design and Implementation for Research Data Management in Development Research

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Research Ideas and Outcomes 3: e21773
https://doi.org/10.3897/rio.3.e21773 (24 Oct 2017)

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Introduction
- Goals of IDRC in developing a data sharing policy
- An implicit Theory of Change and the design of the Pilot
- A shift from targeting policy-mediated change to a focus on culture change
- Pilot design and analysis
Methodology
- Project selection
- Initial workshop
- Data inventory
- Data management planning
- Follow-up, interviews and analysis of data sharing and management
Case study analysis
- Awareness and pre-existing capacity for managing and examining data
- The development of data inventories
- Data management planning
- Tools and systems: Experience of use in a development context
- Challenges of implementation and data sharing
Changing researcher culture?
- Summary of case studies
Challenges at the funder level
- Capacity to monitor and support policy implementation is a systemic structural issue
- Leading culture change amongst grantees requires funder capacity
- Culture change is a collective action problem that starts with the funder
Findings and recommendations
- Diversity of the grant portfolio and community is a challenge
- Developing a theory of change for policy implementation
- Platforms vs projects
- Language and conceptual framing remain serious issues
- Practical policy development and implementation implications
- Implications for policy design and implementation
- Data Management Planning as a worked example
- Recommendations for (development) funders
- Specific recommendations for IDRC
Acknowledgements
References

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