The Hierarchical Data Format (HDF): A Foundation for Sustainable Data and Software
Any type of content formally published in an academic journal, usually following a peer-review process.
When combined with community specific conventions and application-specific semantics, the Hierarchical Data Format (HDF) provides a robust and reliable foundation that many scientific communities rely on for interoperability and high-performance storage of metadata and data. This foundation addresses many technical obstacles related to sustainable data and software, critical steps towards sustainable science. Building on successes across the communities that are using, or could use, HDF5 successfully, requires significant community engagement and development efforts that are outside of the scope of traditional software development projects in research and non-profit organizations like The HDF Group. Identifying individuals and organizations that are already doing the right things and bringing them together to share best practices for funding and executing these activities is an important step towards our shared goal of sustainable science.