Dear members of the RDA FAIR Data Maturity Model Working Group,
Since the first online meetings on 21 and 22 February 2019 (slides and
report here ), the editor team has
continued working on analysing existing FAIR assessment approaches.
Based on further contributions to the survey
l97HOBH4/edit#gid=0> , we have taken into account are the NCEI/CICS-NC Data
Stewardship Maturity Matrix
, the
WMO Stewardship Maturity Matrix for Climate Data (SMM-CD)
Climate_Data/7006028> and the NCEI/ESIP-DSC Data Use and Services Maturity
Matrix
855020> . These additional approaches have been included in the five slide
decks on GitHub
%20of%20preliminary%20analysis/v0.02> :
* Findable
%20of%20preliminary%20analysis/v0.02/FAIR_Principles_Findable_v0.02.pdf>
* Accessible
%20of%20preliminary%20analysis/v0.02/FAIR_Principles_Accessible_v0.02.pdf>
* Interoperable
>
* Reusable
%20of%20preliminary%20analysis/v0.02/FAIR_Principles_Reusable_v0.02.pdf>
* Beyond the FAIR principles
%20of%20preliminary%20analysis/v0.02/FAIR_Principles_X_v0.02.pdf>
You are very welcome to review these documents and create issues on GitHub
if you
have comments or suggestions or if you see anything that we have
misunderstood in classifying the questions under the FAIR principles.
I would also like to remind you that we created issues on GitHub that are
open for comments in order to gather ideas and opinions on:
* What would be the format of the assessment?
* To whom would the results be targeted?
* What will be the profile of the respondent?
* What would be the essential criteria to be FAIR?
* RDA FAIR data maturity model WG: Methodology
&
Timeline
* What will be the nature of the assessment?
* When will the FAIRness be assessed?
* What would be the assessed entity?
* Reusable
%20of%20preliminary%20analysis/v0.02/FAIR_Principles_Reusable_v0.02.pdf>
* Beyond the FAIR principles
%20of%20preliminary%20analysis/v0.02/FAIR_Principles_X_v0.02.pdf>
You are very welcome to review these documents and create issues on GitHub
if you
have comments or suggestions or if you see anything that we have
misunderstood in classifying the questions under the FAIR principles.
I would also like to remind you that we created issues on GitHub that are
open for comments in order to gather ideas and opinions on:
* What would be the format of the assessment?
* To whom would the results be targeted?
* What will be the profile of the respondent?
* What would be the essential criteria to be FAIR?
* RDA FAIR data maturity model WG: Methodology
&
Timeline
* What will be the nature of the assessment?
* When will the FAIRness be assessed?
* What would be the assessed entity?
We will summarise the contributions on these issues, and any further issues
created on GitHub, before the face-to-face meeting in Philadelphia on 3
April 2019, in order for the group to take decisions on the scope and the
methodology for the work going forward.
Please don't hesitate to contact me if you have any questions or concerns.
Many thanks for your consideration!
Kind regards, Makx Dekkers and the editor team
Author: Ge Peng
Date: 24 Mar, 2019
Dear Makx and the editor team,
Thank you very much for the preliminary analysis of all approaches
contributed to the survey so far.
I have reviewed the analysis results for findable and accessible and
summarized my comments in the attached file. I am not sure if my comments
should be considered as a new issue on GitHub:
https://github.com/RDA-FAIR/FAIR-data-maturity-model-WG/issues
Please let me know if you would prefer me to upload the file to the site as
a new issue.
*Dear all*: Going through the summary of current approaches and the facets
for the FAIR principles multiple times, I share the similar concerns listed
on the GitHub and challenges brought up at the telecons. Addressing those
issues will help us finalize the scope of the FAIR data MM. Along that
line, I have put together a slide for *Findable *to help me think about
potential implementation issues and different use cases.
Since it could also be of help to some of you, I am attaching it here for
your reference. I am sure that it does not capture everything. Please feel
free to let me know any question or comment you may have - I am more than
happy to update it.
Hope my feedbacks are helpful and I am looking to meeting some, if not all,
of you at Philadelphia.
Regards,
Ge Peng
Author: Makx Dekkers
Date: 25 Mar, 2019
Dear Ge Peng,
Many thanks for your comments and suggestions.
Yes, it would be very good if you could post your comments on GitHub.
I would suggest to separate the issues per FAIR area.
From your file GePeng_ReviewComments_RDA-FAIR_Findable_Accessible_v0.02 you could create issues with the following issue titles:
* F1: should we recommend the use of universally or globally unique identifier (GUID/UUID)?
* F2: what does it mean to have rich metadata?
* A2: does metadata need to remain accessible for all versions of a dataset?
And you could provide some further details, including your opinion so that others can comment and contribute to the issues.
The other document GePeng_WhatDoesItMean_ToBeFindable_v01r00_20190324 could also be attached to an issue, for example:
* Findable: what does it mean?
The team can then classify the issues under the main heading, e.g. “Findable” and, if relevant, under the appropriate principle, e.g. “F1”. Your second document can also be classified under a label “Levels” and/or “Pathways”.
Kind regards, Makx.
From: Ge Peng - NOAA Affiliate <***@***.***>
Sent: 24 March 2019 16:52
To: makxdekkers <***@***.***>
Cc: ***@***.***-groups.org; Ge Peng <***@***.***>; Ge Peng <***@***.***>
Subject: Re: [fair_maturity] Further information and GitHub issues
Dear Makx and the editor team,
Thank you very much for the preliminary analysis of all approaches contributed to the survey so far.
I have reviewed the analysis results for findable and accessible and summarized my comments in the attached file. I am not sure if my comments should be considered as a new issue on GitHub: https://github.com/RDA-FAIR/FAIR-data-maturity-model-WG/issues
Please let me know if you would prefer me to upload the file to the site as a new issue.
Dear all: Going through the summary of current approaches and the facets for the FAIR principles multiple times, I share the similar concerns listed on the GitHub and challenges brought up at the telecons. Addressing those issues will help us finalize the scope of the FAIR data MM. Along that line, I have put together a slide for Findable to help me think about potential implementation issues and different use cases.
Since it could also be of help to some of you, I am attaching it here for your reference. I am sure that it does not capture everything. Please feel free to let me know any question or comment you may have - I am more than happy to update it.
Hope my feedbacks are helpful and I am looking to meeting some, if not all, of you at Philadelphia.
Regards,
Ge Peng
On Wed, Mar 13, 2019 at 2:33 PM makxdekkers <***@***.*** > wrote:
Dear members of the RDA FAIR Data Maturity Model Working Group,
Since the first online meetings on 21 and 22 February 2019 (slides and report here ), the editor team has continued working on analysing existing FAIR assessment approaches.
Based on further contributions to the survey , we have taken into account are the NCEI/CICS-NC Data Stewardship Maturity Matrix , the WMO Stewardship Maturity Matrix for Climate Data (SMM-CD) and the NCEI/ESIP-DSC Data Use and Services Maturity Matrix . These additional approaches have been included in the five slide decks on GitHub :
* Findable
* Accessible
* Interoperable
* Reusable
* Beyond the FAIR principles
You are very welcome to review these documents and create issues on GitHub if you have comments or suggestions or if you see anything that we have misunderstood in classifying the questions under the FAIR principles.
I would also like to remind you that we created issues on GitHub that are open for comments in order to gather ideas and opinions on:
* What would be the format of the assessment?
* To whom would the results be targeted?
* What will be the profile of the respondent?
* What would be the essential criteria to be FAIR?
* RDA FAIR data maturity model WG: Methodology & Timeline
* What will be the nature of the assessment?
* When will the FAIRness be assessed?
* What would be the assessed entity?
We will summarise the contributions on these issues, and any further issues created on GitHub, before the face-to-face meeting in Philadelphia on 3 April 2019, in order for the group to take decisions on the scope and the methodology for the work going forward.
Please don’t hesitate to contact me if you have any questions or concerns.
Many thanks for your consideration!
Kind regards, Makx Dekkers and the editor team
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Ge Peng, PhD
Research Scholar
Cooperative Institute for Climate and Satellites - NC (CICS-NC)/NCSU at
NOAA’s National Centers for Environmental Information (NCEI)
Center for Weather and Climate (CWC)
151 Patton Ave, Asheville, NC 28801
+1 828 257 3009; ***@***.***
ORCID: http://orcid.org/0000-0002-1986-9115
Following CICS-NC on Facebook
Author: Ge Peng
Date: 25 Mar, 2019
Dear Makx,
Thank you very much for the quick response. Appreciate the list of the
issues based on my comments and detailed guidance – they are very helpful.
I’ll try to upload them to GitHub as soon as I could – hopefully before the
FAIR data MM session at the RDA13P next wed.
Best regards,
--- Peng