[RDA Admin]

Dear all
On previous minutes it has been recorded that the group is thinking about submitting a session proposal on Provenance to AGU Fall meeting in December 2017 .
This is to let you know that the call for session proposals for the AGU Fall meeting has now gone out and is open until 19 April 2017 https://fallmeeting.agu.org/2017/session-proposals/
As a cautionary note, last year’s submission for AGU, despite a lot of advertising and promotion by Simon and Stephan, did not attract sufficient abstracts for an oral session (only 7). It was also the only session proposal out of 45 that was focussed on provenance.
I have attached below the 2016 proposal.
You never know – maybe something like this could fly in 2017, but I think it is prudent to review what was tried last year and maybe try for something different in 2017?
( For those that are interested, in 2016 the provenance session proposal was combined with one on reproducibility, and by adding a few other stray abstracts managed to get enough for an oral.)
Take care
Lesley
2016 AGU Submission
TITLE: Provenance of geoscience data and things
CONVENERS/AFFILIATIONS: Simon J D Cox, CSIRO Land and Water, Highett, | Lesley A Wyborn, Australian National University | Stephan Zednik, Rensselaer Polytechnic Institute | Stephan Zednik, Rensselear Polytechnic Institu | Anusuriya Devaraju, CSIRO | Anusuriya Devaraju, CSIRO Earth Science and Resource Engineering Perth
CONTACT (E-MAIL ONLY): ***@***.***
DESCRIPTION:
Transparency and reproducibility are fundamental to credible scientific research, and apply to all components of any research workflow including physical samples, sampling techniques, analytical practices, code, data processing methods, etc. The common provenance specifications (e.g., W3C PROV, OPM, Provenir) provide a framework for formal description of the origin and derivation of any earth and space science assets. This session seeks papers describing applications of the specifications in earth and space sciences, covering both the conventional application to data products and reports, but also applications to real things (e.g., instruments and physical samples) and chain of custody.
Topics of interest are provenance representation, storage and query, related tools, services and datasets, extensions/profiles of provenance standards, and use cases of provenance in earth and space sciences.

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