Data is the lifeblood of science. Scientists produce data and analyse data, and service providers including research infrastructures (and e-infrastructures) provide facilities for data production and/or storage, sharing and reuse. There is increasing pressure for research infrastructures to have a clear, forward-looking data strategy: from funders during the forming process of new research infrastructures, as a result of technical developments (“explosion” of data coming from new instrumentation), and from the open access/open data movements, where the scientific community, journal publishers, and policymakers push for increasing amounts of data to be made available via various repositories.
Prioritising data strategies early on and establishing solid collaborations between research infrastructures, and among research infrastructures and e-infrastructures, is crucial to make the most of existing resources. Based on the discussions during two BioMedBridges workshops (see below) and the document Principles of data management and sharing at European Research Infrastructures, this BioMedBridges working paper describes the high-level issues that may influence the data strategy of research infrastructures at various stages of development.