Working Group: DFT - Relationships (use cases) - Hans Pfeiffenberger

Relationships: Data and Publications Sketches such as this: Create the impression that we are dealing with simple, solitary digital objects Actually, research data objects are „complex objects“ (OAI-ORE)

2012: Nature CC & ESSD; Carbon data aggregation at global scale The Simple Case 2012: Nature CC & ESSD; Carbon data aggregation at global scale

The Simple Model for the Simple Case Linking Text and Data Data (in repository) Article in data journal Article in „classical“ journal

More Complex Relationships Requirements The Lancet, Jan 2014 „9. Reliable and stable bidirectional linkages between all these elements“ „9. ...“: Paul Glasziou et al. Reducing waste from incomplete or unusable reports of biomedical research DOI:10.1016/ S0140-6736(13)62228-X Picture: An-Wen Chan et al. Increasing value and reducing waste: addressing inaccessible research DOI:10.1016/S0140-6736(13)62296-5

The Glasziou Laundry List

Relations with Expeditions, Projects, ... expedition.awi.de : Relations with Expeditions, Projects, ... Pfeiffenberger, H. and Macario, A. (2005): Text, Data and People How to Represent Earth System Science, http://hdl.handle.net/10013/epic.10581

Conclusion Now add versioning, people, (physical) samples etc. etc. to the „Simple Case“ Result: A plethora of objects per research data set! i.e.: a complex (yet fixed!) object In different formats, under different control, ... i.e.: in different repositories Each with a distinct timeline (no circles or cycles!) And then: Reliable and stable bidirectional linkages between all these elements