H4. Data management

As data capture, storage, and processing technology improves, and the range of data types and volume of available data increases, the development of formalised data management systems within an organisation is becoming increasingly important. Researchers require data to be accessible, logically structured, secure, properly archived, legally obtained, and to have demonstrable integrity. This highlights the need to understand and define data provenance so that the genesis of data can be clearly demonstrated, as well as having a well defined set of processes that encompass data governance.

This session invites papers describing aspects of data management systems including:

This session provides a forum for the exchange of ideas and methods for the provision of robust data management solutions, which are integral support platforms for science delivery and the long-term maintenance of information. Abstracts addressing these topics, or closely related issues, are welcome.