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#130357

Hello All,
I’m okay with the prioritization of the indicators as shown in
the survey. However, indicator R1.2-01M,
“Metadata includes provenance information according to
community-specific guidelines”, uses the term “guidelines” while
the term “standards” is used when referring to community
conventions in all the other indicators. I think some
clarification on when conformance to standards (presumably de jure
standards) is needed and when guidelines suffice. Moreover, how
the latter are codified and deemed to be community endorsed.
Cheers,
SiriJodha

On 10/14/19 2:17 PM, ChrisB via FAIR
Data Maturity Model WG wrote:

cite=”mid:***@***.***”>

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”>Dear members of the RDA FAIR data maturity
model Working Group,

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”> 

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”>The date of our
next workshop, which will take place at the 14th RDA
plenary in Helsinki, is
fast approaching. Two weeks ago, we shared with you a
survey with the aim to
propose a final set of priorities at our next workshop. We
already thank those
of you who responded, we certainly can see that some
trends are emerging.

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”> 

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”>Yet, as we seek to
have priorities to be accepted by the largest number of
people and communities,
we encourage those of you who did not respond yet to share
your opinion about the prioritisation of indicators [1].
We
thank you in advance for devoting 5 minutes of your time
to the survey and we
remind you that no account nor registration is needed. Please
note that, the survey will be closed the 20th
of
October 2019.

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”> 

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”>As a next step
towards a common set of assessment criteria, we started to
explore a scoring
mechanism relying on the FAIRness indicators and their
prioritisation. The
underlying idea is to assess and objectively score the
implementation level of
the FAIR principles. This idea is currently being
discussed on the GitHub [2].
Please don’t hesitate to comment on that proposal and
suggest any change in the
approach.

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”> 

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”>Lastly, we will
soon post the presentation for the workshop on the RDA
FAIR data maturity model
web page. The workshop will be held on
the 23rd of October in the Dipoli Bldg –
Kaleva room during the
Breakout 2 from 14:30 to 16:00 local
Helsinki time (11:30 to 13:00 UTC). If you cannot
physically attend the
meeting a remote access is available [3].

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”> 

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”>Kind regards,

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”> 

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”>The editorial team

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”> 

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
style=”background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial”
lang=”EN”>[1]
href=”https://forms.gle/uWXpT27i2RiSei5V7″
style=”color:blue” moz-do-not-send=”true”>
style=”color:rgb(17,85,204);background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial”>https://forms.gle/uWXpT27i2RiSei5V7
style=”color:rgb(17,85,204);background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial”>

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
style=”background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial”
lang=”EN”>[2]
href=”https://github.com/RDA-FAIR/FAIR-data-maturity-model-WG/issues/34″
style=”color:blue” moz-do-not-send=”true”>
style=”color:rgb(17,85,204);background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial”>https://github.com/RDA-FAIR/FAIR-data-maturity-model-WG/issues/34
style=”color:rgb(17,85,204)”>

0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif”>
lang=”EN”>[3]
href=”https://global.gotomeeting.com/join/708547405″
style=”color:blue” moz-do-not-send=”true”>https://global.gotomeeting.com/join/708547405

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Siri-Jodha Singh KHALSA, Ph.D., SMIEEE
National Snow and Ice Data Center
University of Colorado
Boulder, CO 80309-0449 Phone: 1-303-492-1445 GV: 1-303-736-9976
http://cires.colorado.edu/~khalsa
http://orcid.org/0000-0001-9217-5550