Difference between revisions of "Document the provenance of the results"

From Geoscience Paper of the Future
Jump to: navigation, search
(Suggested Readings)
(Suggested Readings)
Line 16: Line 16:
  
 
=== Suggested Readings ===
 
=== Suggested Readings ===
 +
 +
* [http://ijdc.net/index.php/ijdc/article/view/203 “Requirements for Provenance on the Web.”] Paul Groth, Yolanda Gil, James Cheney, Simon Miles.  International Journal of Digital Curation, 7(1), 2012.
 +
** ''A general overview of provenance'''
  
 
* [http://www.w3.org/TR/prov-primer/ "A Primer for the PROV Provenance Model."] Yolanda Gil, Simon Miles, Khalid Belhajjame, Helena Deus, Daniel Garijo, Graham Klyne, Paolo Missier, Stian Soiland-Reyes, and Stephan Zednik.  Published as a W3C Working Group Note on 30 April 2013.  
 
* [http://www.w3.org/TR/prov-primer/ "A Primer for the PROV Provenance Model."] Yolanda Gil, Simon Miles, Khalid Belhajjame, Helena Deus, Daniel Garijo, Graham Klyne, Paolo Missier, Stian Soiland-Reyes, and Stephan Zednik.  Published as a W3C Working Group Note on 30 April 2013.  

Revision as of 16:27, 12 March 2015


What This Task Involves

The training session and training materials indicate how to:

  1. Capture the provenance of the results in a paper
  2. Develop a workflow sketch, a formal workflow, or a provenance record that represent to different degrees of accuracy what the provenance of the results is
  3. Publish the provenance and make it part of a publication

Training Materials

This training session was held on March 6, 2015:

Suggested Readings

  • "A Primer for the PROV Provenance Model." Yolanda Gil, Simon Miles, Khalid Belhajjame, Helena Deus, Daniel Garijo, Graham Klyne, Paolo Missier, Stian Soiland-Reyes, and Stephan Zednik. Published as a W3C Working Group Note on 30 April 2013.
    • A brief and practical introduction to the PROV standard for provenance, showing examples of how to represent the provenance record in RDF through a simple notation called Turtle

What To Do

We described many options in the training. Here is a sketch of the most common approach:

  1. Create a public entry for your dataset with a permanent unique identifier.