Skip to Main Content

Data management: Research data management

Research Data Management

INTRODUCTION TO RESEARCH DATA MANAGEMENT

Research data management (RDM) entails the responsible handling of research data before, during and after the research project. This includes processes for collecting, processing, analysing, storing, sharing, archiving and disposing of research data.

Roskilde University (RUC) has a data management policy which provides guidelines to researchers and students to manage research data appropriately (see box to the right). RUC's data management policy is based on the idea that research data should be "as open as possible, as closed as necessary". When research leads to the publication of results, relevant data that validates the research should, as far as possible, be attached to the publication. 

Some research funds (e.g. Horizon Europe) require that research data are made Findable, Accessible, Interoperable and Reusable (FAIR). For more information about FAIR, please read our FAIR libguide. More information is also available in the article by Mark Wilkinson et al. (see box below) and the FAIR Principles at GO FAIR

RUC library can support you with RDM and making your data FAIR. Please contact us via eScience Services at RUC's serviceportal (requires RUC login) or via forskersupport@kb.dk

FAIR data banner - ACCORDING TO THE FAIR PRINCIPLES Research DATA SHOULD BE FINDABLE  ACCESSIBLE INTEROPERABLE AND REUSEABLE click to READ MORE