Data management planning is essential for research projects to ensure data integrity, accessibility, and longevity. This involves creating a plan outlining data creation, documentation, storage, access, backup, sharing, and preservation strategies. Developing a DMP helps avoid problems, comply with

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Explore the perspectives of Sylvia Spengler from the US National Science Foundation on the importance of data citation and attribution. Learn about the impact measures, promotion of interdisciplinary science, and career development mechanisms endorsed by NSF. Understand the significance of attributi

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This document discusses the costing and management of research data in HRB awards, highlighting the importance of FAIR data principles. It covers responsibilities, budgeting for data management, eligible costs, and the process from application to post-award management. Key activities involve liaisin

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Explore the evaluation criteria and expectations related to Data Management Plans (DMPs) set by various funders such as AHRC, BBSRC, ESRC, NERC, and Horizon 2020. Learn what makes a good DMP, review lessons from past implementations, and understand the consequences of inadequate DMPs on research pro

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