RDA FAIR data maturity model: RDA recommendation endorsed

06 Jul 2020
Groups audience: 

Dear members of the RDA FAIR Data maturity model WG,
*Today marks a special milestone for the WG. The FAIR data maturity model:
guidelines and specification

has been officially endorsed by the RDA Council*. The latter is now
publicly available on the RDA website and ready to be disseminated to the
communities. Now that this important milestone has passed, the WG has
turned into a maintenance working group. In September, the editorial team
will host the first webinar of this new stage. More information will come
over the summer.
We wish to reiterate our appreciation and thanks to all members whose
efforts contributed to this success. May we kindly ask you to share the
recommendation within your communities. The editorial team remains at your
side for support and to collect feedback.
Attached you can find a press release to help you disseminate the model to
anyone who would have interest in evaluating FAIRness.
The editorial team
*Publication of the RDA FAIR data maturity model: specification and
In June 2020, RDA published an RDA Recommendation on the RDA FAIR Data
Maturity Model with a set of indicators and evaluation levels for
assessment of FAIRness in research data.
The model was developed by the RDA FAIR Data Maturity Model Working Group,
with participation of over 200 experts on research data from more than 20
countries over 18 months between January 2019 and June 2020. It proposes a
set of indicators, priorities and maturity levels for the evaluation of
FAIRness on a general level that can be used as a 'lingua franca' to make
results of FAIR assessment approaches comparable. In practical application
of the model, thematic communities can adapt the model to their specific
needs and their expectations about FAIRness of the data resources they
produce and manage.
The model may be used during the development of Research Data Management
Plans before any data resources have been produced to specify the level of
FAIRness that the resources are expected to achieve. It can also be used
after the production of data resources to test what the achieved level of
the resources is. Data producers, i.e. researchers, and data publishers can
use the model to determine where their practices could be improved to
achieve a higher level of FAIRness, while project managers and funding
agencies can use the model to determine whether the data resources achieve
a pre-defined, expected level of FAIRness.
Application of the model in assessment approaches can then lead to
increased coherence and interoperability of existing or emerging FAIR
assessment frameworks, ensuring the combination and compatibility of their
results in a meaningful way.
*Next steps*
Following the publication of the RDA Recommendation, the RDA FAIR Data
Maturity Model Working Group has converted into a Maintenance Working group
with the objective to maintain and further develop the Maturity Model.
The RDA FAIR Data Maturity Model Working Group will work on promoting and
improving the FAIR Data Maturity Model, and more generally FAIR
assessments. This encompasses (1) the establishment of formal or informal
liaisons between FAIR assessment activities, (2) gathering feedback from
the implementation of the FAIR data maturity model within thematic
communities and (3) reaching an agreement on future work on FAIR
assessments (e.g. integration of the FAIR Data Maturity Model in Data
Management Plans).
*For more information*
The RDA FAIR data maturity model: specification and guidelines can be
consulted here . For complementary
information about the FAIR data maturity model and the RDA Working Group
please see here
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