FAIR Principles for Coasts and Oceans research image data
Candice Untiedt1, Ben Scoulding1, Franzis Althaus1, Kylie Maguire1, Toni Cannard 2, Mike Fuller1
1CSIRO Oceans and Atmosphere, Castray Esplanade, GPO BOX 1538, Hobart, Tasmania, 2CSIRO Oceans and Atmosphere, Queensland Biosciences Precinct, St Lucia, Qld
With advances in technology of cameras, sensors and electronic control systems, we are collecting more and more image data. Within Coasts and Oceans Research (COR), imagery data are used by a range of portfolios such as: environmental impact; marine pollution; fisheries and biodiversity, to name a few. There are therefore a diverse range and large amounts of imagery data collected from a variety of platforms. In many cases, the rate of acquisition of image data is outstripping our ability to archive, retrieve and effectively use this valuable data. The FAIR principles are a set of standards designed to make data FINDABLE by machines and humans using common searching tools, ACCESSIBLE so that the data and metadata can be examined, INTEROPERABLE so that comparable data can be analysed and integrated using common vocabulary, formats and identifiers and then REUSABLE by other researchers as a result of robust metadata, provenance information and clear usage licences. We present this series of talks including an overview, and we then introduce and explain each of the FAIR principles and their constituent facets in the context of COR imagery data. This presentation was part of a participatory stakeholder workshop bringing together researchers, scientists and data managers across business units to develop a co-ordinated approach to start our journey towards becoming FAIR.
Bio to come.