[CODATA-international] TOMORROW at Virtual SciDatCon 2021: Global Open Science and Supporting FAIR – 27 October 2021

Asha CODATA asha at codata.org
Tue Oct 26 13:38:32 EDT 2021


Tomorrow, Weds 27 October is the penultimate day of Virtual SciDataCon 2021
<https://www.scidatacon.org/virtual-2021/>.  We hope you have enjoyed the
sessions and have been able to follow the themes of interest.  SciDataCon
will close on Thursday 28 October, 11:00-13:00 UTC, with a Plenary Session
exploring global collaboration ‘Organisational Interoperability is Critical
for Data Interoperability’
<https://www.scidatacon.org/virtual-2021/sessions/353/>.

For our penultimate day, there are two themes: two sessions will explore
the Global Open Science Cloud initiative
<https://codata.org/initiatives/decadal-programme2/global-open-science-cloud/>,
providing
an opportunity for the thematic Working Groups
<https://www.scidatacon.org/virtual-2021/sessions/377/> and the disciplinary
Case Studies <https://www.scidatacon.org/virtual-2021/sessions/333/> to
describe their work and discuss their approach. The other strand of three
sessions covers various ways in which activities are supporting FAIR.
*Global Open Science*

*Developing Cooperation and Alignment Between Open Science Clouds:
governance and sustainability, policy and legal, technical infrastructure,
data interoperability
<https://www.scidatacon.org/virtual-2021/sessions/377/>, Wednesday 27
October, 11:00-12:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZ0lf-CpqzojG9OqmXdz54QFxeU639vMCrzo>*

This interactive workshop session will provide an overview of the
activities of four thematic working groups established by the Global Open
Science Cloud initiative
<https://codata.org/initiatives/decadal-programme2/global-open-science-cloud/>.
Four Working Groups have been established: Governance, Strategy and
Sustainability; Policy and Legal; Technical Infrastructure; Data
Interoperability. Each Working Group will give a short presentation,
outlining its draft workplan and objectives and detailing the areas which
it has identified to share information, develop cooperation and to explore
alignment.  The presentations will be followed by structured discussion.
We invite participants to make recommendations for this work and to help
identify areas where cooperation can be supported by the Working Groups.

*The Global Open Science Cloud Initiative: Mobilizing Disciplinary Case
Studies <https://www.scidatacon.org/virtual-2021/sessions/333/>, Wednesday
27 October, 13:00-14:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZEuce6urDItE9UqFFIAUDRLOHNHG0sWK7sy>*

Under the umbrella of the GOSC Initiative
<https://codata.org/initiatives/decadal-programme2/global-open-science-cloud/>,
this session will continue the dialogue between worldwide research
e-infrastructures from a disciplinary demonstration perspective. The
Initiative has identified five initial case studies in the areas of space
physics, diffraction data, biodiversity, United Nations Sustainable
Development Goal (SDG) -13 for climate change, and health research. The
case studies will explore practical examples of cooperation, alignment and
interoperability between Open Science infrastructures, in specific research
contexts. The objectives of this session are to briefly summarize the
progress of the GOSC Case Studies and to elaborate the specific scenarios
within the selected case studies. An introductory talk will be given by the
session chair, briefly describing the GOSC Initiative. This will be
followed by a description of the five case studies along with
the identification of questions for discussion by the audience. The session
will conclude with a 20-minute discussion with all the participants.
*Supporting FAIR*

*Certifying FAIR: The GO FAIR Foundation’s Pioneer Program to bootstrap
community development of FAIR certification for events, people, and
technology,
<https://www.scidatacon.org/virtual-2021/sessions/375/> Wednesday 27
October, 11:00-12:30 UTC: REGISTER FOR THIS SESSION
<https://us02web.zoom.us/meeting/register/tZAkd-yvqDopE9XbJ6qHua9EPKG9id0dEvDq>*

The GO FAIR Foundation (GFF) has been asked by various sectors to provide
FAIR certification for FAIR-related resources. This request has come from a
broad range of stakeholders and concerns the widely perceived need
for independent third-party criteria and validation of resources with
respect to the FAIR Principles, for technical components, domain-relevant
standards, FAIR-related training, for FAIR implementation events (e.g. M4M
and FIP workshops <https://www.go-fair.org/how-to-go-fair/>), for people
(demonstrating various FAIR-related competencies) and organizations that
aspire are committed to FAIR practices. It is believed that certification,
when appropriately applied, can be a powerful accelerator of convergence
<https://b2share.eudat.eu/records/4e8ac36c0dd343da81fd9e83e72805a0> onto
wide-spread FAIR implementations. In response, the GFF has initiated a Pioneer
Program <https://www.gofairfoundation.org/certification/> to bootstrap an
approach to certification beginning with a limited number of early mover
experts and organizations that have clearly established themselves as
global leaders in FAIR implementation. The GFF invites these experts and
organizations as “GO FAIR Pioneers” to work together to build the first
generation criteria for FAIR certification.

*FAIRsFAIR – Tools and Support to foster FAIR Data practices in Europe
<https://www.scidatacon.org/virtual-2021/sessions/378/>, Wednesday 27
October, 13:00-14:30 UTC: REGISTER FOR THIS SESSION
<https://us02web.zoom.us/meeting/register/tZwof-6orj8vHNRObjOUiqRLeK_O5BuCyRJB>*

This 90min practice session will showcase practical solutions for the use
of the FAIR data principles throughout the research data life cycle, namely
fostering FAIR data culture and the uptake of good practices in making data
FAIR. The session will have presentations from different FAIRsFAIR tools
and support programs to repository managers, research data managers,
service providers, data stewards and higher education institutes. Some
implementation stories will be showcased of how FAIRsFAIR is supporting the
improvement of data FAIRness and interoperability, across
disciplines dealing with data. There will be opportunity for interaction
and discussion with the audience.

*Towards computable publications: Author-driven FAIR data production
<https://www.scidatacon.org/virtual-2021/sessions/315/>, Wednesday 27
October, 16:00-17:30 UTC: REGISTER FOR THIS SESSION
<https://us02web.zoom.us/meeting/register/tZAqc-ivqDkvHNbymH5fAyw7N5dWoPS7ICb8>*

Producing FAIR (findable, accessible, interoperable, and reusable) data
cannot be accomplished solely by data curators in all disciplines. In
biology, we have seen that phenotypic data curation is not only costly, but
it is burdened with inter-curator variation. Variation in the curation
results is stemmed from the complicated intellectual processes of
interpreting published scientific findings and re-expressing the findings
in machine languages (e.g., ontologies) by different curators.
Inter-curator variation is also well-known in other intellectual activities
involving human participants, for example: inter-cataloger
variation/agreement among library catalogers and
inter-coder variation/agreement in content analyses used in social science
studies. Since inter-curator variation is inherent in any human-based
intellectual activity, this issue should be recognized as one major issue
in the post-publication curation approach to produce FAIR data. Data
scientists have been investigating an alternative approach to FAIR data
production that is grounded on making scientific publications semantically
clear (i.e., computable) at the time of publication. So FAIR data can be
harvested immediately after publication. We believe authors are the most
authoritative in interpreting their datasets, methods, and finding (or
“data” collectively) and we need to design intuitive semantic models and
software platforms to support authors to efficiently express their data and
produce computable publications. The theme of this session is enabling
scientific authors to publish FAIR data along with human readable articles.
It addresses two conference themes: (1) Policy and Practice of Data in
Research, and (2) Data and Education. Younger generation of scientists
should learn to write computable publications.

*Virtual SciDataCon 2021 <https://www.scidatacon.org/virtual-2021/> is
organised by CODATA <https://codata.org/> and the World Data System
<https://www.worlddatasystem.org/>, the two data organisations of
the International Science Council <https://council.science/> – PROGRAMME AT
A GLANCE
<https://codata.org/wp-content/uploads/2021/09/SciDataCon2021-Programme_Registration.pdf>
– FULL
PROGRAMME <https://www.scidatacon.org/virtual-2021/programme/> – please
note that registration is free, but participants must register for each
session they wish to attend.*

*CODATA and WDS are very grateful to SpringerNature for **sponsorship of
Virtual SciDataCon 2021*
<https://www.scidatacon.org/conference/virtual-2021/Sponsors/>*. **This
sponsorship has assisted us in running the conference without a
cost-recovery access charge, for which we are extremely grateful.*


*Thanks,*

*Asha*
--
___________________________

*SciDataCon Strands: Sessions Exploring Core Interoperability
<https://codata.org/exploring-core-interoperability-virtual-scidatacon-2021-strand/>
- Sessions
on Data for SDGs and DRR
<https://codata.org/data-for-the-sdgs-and-drr-virtual-scidatacon-2021-strand/>
- Global
Open Science
<https://codata.org/global-open-science-virtual-scidatacon-2021-strand/> - Open
Science and Data Policy
<https://codata.org/open-science-and-data-policy-developments-virtual-scidatacon-2021-strand/>
- Data
Repositories and Stewardship
<https://codata.org/data-repositories-and-stewardship-virtual-scidatacon-2021-strand/>
- Earth
Sciences Data
<https://codata.org/earth-sciences-data-vocabularies-identifiers-and-cross-domain-collaborations-virtual-scidatacon-2021-strand/>
- Data
Skills and Stewardship
<https://codata.org/earth-sciences-data-vocabularies-identifiers-and-cross-domain-collaborations-virtual-scidatacon-2021-strand/>*

*REGISTRATION OPEN!
<https://codata.org/events/conferences/scidatacon-2021/>** Virtual
SciDataCon 2021, 18-28 Oct: *register free for each session - PROGRAMME AT
A GLANCE
<https://codata.org/wp-content/uploads/2021/09/SciDataCon2021-Programme_Registration.pdf>
 - FULL PROGRAMME <https://www.scidatacon.org/virtual-2021/programme/>

*ISC-UNDRR Hazard Information Profiles Launched*
<https://codata.org/isc-undrr-hazard-information-profiles-launched/>

*Data-Knowledge-Action for Urban Systems:* New Podcast Series
from CAG-CEPT, CODATA and UHWB
<https://codata.org/initiatives/data-skills/codata-connect/cag-cept-codata-and-uhwb-podcast-series-on-data-knowledge-action-for-urban-systems/>

*DEADLINE EXTENDED! Call for Proposals to Host International Data Week
2025: *deadline 31 January 2022
<https://internationaldataweek.org/call-for-applications/>

September 2021 publications
<https://codata.org/september-2021-publications-in-the-data-science-journal/>
in
the CODATA Data Science Journal <https://datascience.codata.org/>

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___________________________
Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Council for Science), 5 rue
Auguste Vacquerie, 75016 Paris, FRANCE
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