Case Statements



NEW! February 2020: In order to make it easier for you to collaborate with your teams, we have improved the user experience of your Groups’ online space. A series of icons and labels now guide your activity and help you post messages to the group members, create and organise wiki pages, send events’ announcements, publish and organise the outputs and case statements resulting from your group’s activity and browse all the members of your Group. One new area also collects the Plenary sessions your group contributed to.

We hope that you’ll find this useful! Please do not hesitate to send your comments and suggestions to the RDA Secretariat here.

Secretariat Liaison: 
Lynn Yarmey
TAB Liaison: 
Paul Uhlir

Our aim is to advance shared understanding of the relationship between data and information, primarily in the context of environmental research infrastructures for observational data and semantic information about observed environments. While commonly used, the terms data and information are poorly understood. Typically understood as the values organized in rows and columns, in reality there are observational data, experimental data, simulation data. There are feature, trend, geospatial data sets. There are primary data, secondary data, derivative data, operational data, metadata. Furthermore, we increasingly speak of mining information from data and transferring information into knowledge. However, what mined information is and how information is represented and recorded in research infrastructures remains obscure. Knowledge is even more complex. There is a need to clarify what data, information and possibly knowledge are, and how these concepts relate in the research infrastructure context. We provide a platform to advance this subject matter.