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

2. 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)

3. 2012: Nature CC & ESSD; Carbon data aggregation at global scale
The Simple Case
2012: Nature CC & ESSD; Carbon data aggregation at global scale

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

5. 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: / S (13)62228-X
Picture: An-Wen Chan et al. Increasing value and reducing waste: addressing inaccessible research DOI: /S (13)

6. The Glasziou Laundry List

7. 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,

8. 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