[Esip-citationguidelines] Esip-citationguidelines Digest, Vol 30, Issue 3

[Robert Casey]

	Thanks, Madison.  Another data type that might be worth considering is synthetic data.  This type of data might present a different set of citable roles compared to their equivalent remotely sensed data.  Maybe this could lump in with simulation data.

	-Rob



> Date: Thu, 10 Jun 2021 21:23:03 +0000
> From: "Langseth, Madison L" <mlangseth at usgs.gov>
> To: "esip-citationguidelines at lists.esipfed.org"
> 	<esip-citationguidelines at lists.esipfed.org>
> Subject: [Esip-citationguidelines] Data Citation Homework :)
> Message-ID:
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> 
> Thanks for a great meeting, today! Our notes are available here<https://docs.google.com/document/d/18ooEixbchKp-qgAG7qtnebKrWDYsutt4d2eX3HsaWls/edit#>. We did decide that we have a little bit of homework to do before our next meeting on July 8. Based on your experience with data, please let us know which Credit Role Ontology roles you think should contribute to a dataset's author list:
> 
> 
>  1.  Go to the Credit_Role_Ontology_Data<https://docs.google.com/spreadsheets/d/1VEYPLgTsCR_zbMUbThonBrqaYqBiMT4e525NzFi7ql8/edit#gid=1552417864> tab in our Objects and Concerns Spreadsheet.
>  2.  Grab a column and change "Participant #" to your name
>  3.  For each role, choose "Yes" or "No" to indicate whether you think that role should be considered for inclusion in the author list for a data citation.
> 
> At the next meeting, we will attempt to generate a reasonable length role list for data authorship that we can work with at the Summer Meeting. Please let me know if you have questions!
> 
> We also started brainstorming a list of different data types that we could use as use cases and potential breakout groups for vetting and weighting these roles:
> 
>  *   Remote sensing,
>  *   in situ,
>  *   big field campaign,
>  *   historical analysis,
>  *   data from physical samples,
>  *   lab data,
>  *   citizen science data
> 
> If there are any major data types that you think we should also include, please feel free to chime in.
> 
> Best,
> 
> 
> Madison Langseth (she/hers)
> 
> U.S. Geological Survey
> Science Analytics & Synthesis (SAS)
> Denver Federal Center
> Building 810, Mail Stop 302
> Denver, CO 80225
> 
> (303) 202-4088
> 
> mlangseth at usgs.gov<mailto:mlangseth at usgs.gov>
> 
> http://orcid.org/0000-0002-4472-9106
> 
>