Tools & Resources
The LEARN Project has the following freely-accessible materials to help Research Performing Institutions manage their research data.
Take the LEARN Impact Survey
If you have interacted with LEARN Project or used any of its outputs over its two year lifespan we would like to know how/if we have made a difference to your understanding of, or approach to the issues around RDM.
Toolkit of Best Practice for Research Data Management
Our Toolkit includes 23 Case Studies covering topics such as Policy, Advocacy and Costs, a Model RDM Policy and an Executive Briefing in six core languages.
RDM Readiness Survey & Dataset
Is your institution ready to manage research data? This self-assessment tool is based on the issues posed to institutions by the LERU Roadmap for Research Data. The survey has thirteen questions addressing the main elements to be taken into account in developing an institutional strategy for research data management. Each question has three possible answers representing a green, yellow or red light. The more ‘green light’ responses recorded, the readier an institution probably is for managing its research data.
Key Performance Indicators
LEARN provides a list of Key Performance Indicators (KPIs) that should help each individual research institution measure how successful they are being in implementing the recommendations of the LERU Research Data Roadmap and the Toolkit produced by LEARN.
20 RDM Best-Practice Recommendations
We’ve assembled 20 recommendations for Best Practice in Research Data Management, based on discussions at LEARN Project workshops in Europe and Latin America. The Workshops were held over the course of 2016/2017.
Evaluation Grid for RDM Policies in Europe
The Library of the University of Vienna (leader of Work Package 3 of LEARN) collected and analysed over 40 European RDM policies in 2015/2016. This analysis grid gives a compact overview of many of these policies, plus a detailed evaluation of the selected policies with extensive comments.
Core Elements of a RDM Policy
This document can be used to help define research data, explain what RDM is, illustrate workflows, describe benefits and inform about funder requirements. Legal and ethical issues are considered, as are relationships with publishers.
This glossary has been compiled from the efforts of others and due accreditation to the various sources has been recorded throughout. The terms and definitions selected have been chosen to fit best with LEARN’s own aims.