[CODATA-international] Supporting FAIR Research: Virtual SciDataCon 2021 Strand

Mon Oct 25 08:32:27 EDT 2021

In the final week of Virtual SciDataCon 2021, we see the continuation of
the strand on Core Interoperability and two new strands.  The first of
these covers ’Supporting FAIR Research’, including emerging Research
Infrastructure and various activities to support researchers and research
groups in making data – and other outputs – FAIR.

*SoBigData: An European Research Infrastructure for Big Data and Social
Mining <https://www.scidatacon.org/virtual-2021/sessions/292/>, Tuesday 26
October, 11:00-12:30 UTC: REGISTER FOR THIS SESSION
<https://us02web.zoom.us/meeting/register/tZUsc-igrTwjGdSz0zQj_-1eebiNsCs8TCta>*

Data science is an opportunity for boosting social progress, and data
analysis tools are triggering new services with a clear impact on our daily
life. SoBigData RI (http://www.sobigdata.eu/index)  is a multi-disciplinary
research infrastructure aimed at using social mining and big data to
understand the complexity of our contemporary,
globally-interconnected society. The SoBigdata RI’s service platform
empowers researchers for the design and execution of large-scale social
mining experiments. Pushing the FAIR (findable, accessible, Interoperable,
responsible) and FACT (Fair, Accountable, Confidential and Transparent)
principles, the RI renders social mining experiments more efficiently
designed, and repeatable by leveraging concrete tools that operationalize
ethics, incorporating values and norms for privacy, fairness, transparency
and pluralism; also touching upon how data science helps us to make more
informed choices, underlining the need to achieve collective intelligence
without compromising the rights of individuals. The format of the session
is a mix of research and practice presentations where the SoBigData++
project is presented in all its parts.

*Unlock scientific collaboration through technology
<https://www.scidatacon.org/virtual-2021/sessions/361/>, Tuesday 26
October, 13:00-14:30 UTC: REGISTER FOR THIS SESSION
<https://us02web.zoom.us/meeting/register/tZAvdO-prTsuGtVxlfOTGFpir4BMmPleo61u>*

This 90min practice session will showcase with real examples how the
Science Mesh (explained below) is supporting collaboration of distributed
science teams across disciplines dealing with data. The session will have
presentations from Science Mesh developers and also representatives of each
one of the use-cases. There will be opportunity for interaction and
discussion with the audience. The Science Mesh
<https://cs3mesh4eosc.eu/science-mesh>, a service developed by CS3MESH4EOSC
project, enables the users to retain control over their remote or domestic
datasets, while becoming FAIR
<https://cs3mesh4eosc.eu/contribution-eosc-fair>(Findable, Accessible,
Interoperable and Reusable)compatible and integrated with the EOSC
<https://cs3mesh4eosc.eu/contribution-eosc-fair> (European Open Science
Cloud) at the same time. Users are able to directly access the service
provided by Science Mesh from easy-to-use interfaces and discover the
different functionalities, as well as develop application plugins or easily
set-up federations in their own scope and develop their own activities on
top of them. The Science Mesh goes beyond the general-purpose storage
services from multinational companies, by providing an interconnected
platform suited to the particular needs of researchers and students at
European academic institutions and increasing scientific knowledge coming
from both the academia and the research industry.

*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.

*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.*

*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.*

*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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