The following data principles are recommended for adoption by the Belmont Forum e-Infrastructure and Data Management CRA.
Data should be:
- Discoverable through catalogues and search engines, with data access and use conditions, including licenses, clearly indicated. Data should have appropriate persistent, unique and resolvable identifiers.
- Accessible by default, and made available with minimum time delay, except where international and national policies or legislation preclude the sharing of data as Open Data. Data sources should always be cited.
- Understandable and interoperable in a way that allows researchers, including those outside the discipline of origin, to use them. Preference should be given to non-proprietary international and community standards via data e-infrastructures that facilitate access, use and interpretation of data. Data must also be reusable and thus require proper contextual information and metadata, including provenance, quality and uncertainty indicators. Provision should be made for multiple languages.
- Manageable and protected from loss for future use in sustainable, trustworthy repositories with data management policies and plans for all data at the project and institutional levels. Metrics should be exploited to facilitate the ability to measure return on investment, and can be used to implement incentive schemes for researchers, as well as provide measures of data quality.
- Supported by a highly skilled workforce and a broad-based training and education curriculum as an integral part of research programs.