SIM4RDM—Support Infrastructure Models for Research Data Management
SIM4RDM is a two year ERA-NET project funded by the European Commission's Seventh Framework Programme (FP7).
Vision: The vision of SIM4RDM is to enable researchers to effectively use emerging data infrastructures by ensuring that they have the knowledge, skills and support infrastructures necessary to adopt good research data management practices. SIM4RDM will achieve this by analysing existing funding programmes and policy interventions within member states and internationally and will then aim to produce models, evaluation frameworks and policy recommendations for both future national interventions as well as pan-European and International co-ordination.
Concept: Good research data management practice is essential for both productinve research and for taking full advantage of the emergent data infrastructures in the European Research Area (ERA). Whilst there are established practices in the management and referencing of publications, similar standards for the management of data are currently sporadic, with some disciplines better organised then others. Typically publications do not include the underlying data upon which their conclusions are based and this data is not accessible. Effective management of research data is critical for generating economic and scientific advances as well as for the preservation of this capital for future generations. To date most data infrastructure activities at national and international levels tend to concentrate on the technical developments needed for both large and small scale data infrastructures or on technical standards for data management and data referencing. However it is acknowledged that there is a need for programmes aimed at developing the social infrastructures to help build skills and capacity amongst researchers to take advantage of these technical initiatives.
Purpose: The purpose of the SIM4DM project will be to coordinate actions across the EU and also to involve other international stakeholders to
- share knowledge and experience in building support infrastructures and encouraging research data management practice
- determine required National, pan-European and Internatinoal level interventions which can be implemented by programme owners and managers
- determine models for co-ordinating such interventions as to ensure maximum impact
- implement and pilot an intervention model and evaluation framework
- build international consensus on long term strategy and policy in the area of research data managment