[CODATA-international] Exploring Core Interoperability: Virtual SciDataCon 2021 Strand

Tue Oct 12 04:40:41 EDT 2021

Virtual SciDataCon 2021 <https://www.scidatacon.org/virtual-2021/> is
organised around a number of thematic strands.  This is one of a series of
announcements presenting these strands to the global data community. Please
note that registration is free, but participants must register for each
session they wish to attend.

Interoperability and Reusability are without doubt the most challenging of
the FAIR principles.  Over the last 2-3 years, as part of the pilot
activities for the Decadal Programme: Making Data Work for Cross-Domain
Grand Challenges <https://codata.org/initiatives/decadal-programme2/>, CODATA
has been exploring, with partner organisations and initiatives, a number of
core issues to enable interoperability. These include, but are not limited
to: the consistent digital representation of units of measurement, FAIR
vocabularies, FAIR digital objects and metadata to facilitate the
integration of data across domains.  The final session in this strand
‘Interoperability of Metadata Standards in Cross-Domain Science’, will
serve as a conclusion and an opportunity to discuss the implications of the
various activities presented over the two weeks.

The Virtual SciDataCon 2021 strand on interoperability includes the
following sessions:

*FAIR Digital Objects to Establish a Global and Interoperable Data Space
<https://www.scidatacon.org/virtual-2021/sessions/330/>, Monday 18
October, 13:00-14:30 UTC and 16:00-17:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZAtd-6pqTsrGNEgrIHYmy9GYyFw1FOnYYmx>*

FAIR Digital Objects (FDO) have the potential to address a number of
significant contemporary challenges. FDOs bind all critical information
about an entity persistently in one logical place and therefore create a
new kind of actionable, meaningful and technology independent object. FDOs
provide a conceptual and implementation framework to develop scalable
cross-disciplinary capabilities, deal with the increasing data volumes and
their inherent complexity, build tools that help to increase trust in data,
create mechanisms to efficiently operate in the domain of scientific
assertions, and promote data interoperability.

*Enabling data interoperability through the I-ADOPT Framework:
implementation scenarios in the environmental science domain and beyond
<https://www.scidatacon.org/virtual-2021/sessions/368/>, Tuesday 20
October, 13:00-14:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZcld-qorD4iGNaK2kUPMAXMbyOPSORCkh2m>*

The RDA InteroperAble Descriptions of Observable Property Terminology
(I-ADOPT) WG set out to produce an Interoperability Framework, co-developed
by a diverse community of terminology experts and users, for representing
and describing observable properties. By decomposing variable descriptions
into atomic components and linking them to existing vocabulary terms,
the framework helps to provide FAIR descriptions and to map between
terminologies without changing their original structure. At this session,
attendees will learn about the development of the I-ADOPT framework, and
will get insights from its early adopters including data service providers,
research infrastructures and research communities, from various domains.

*Improving Our World One Unit at a Time,
<https://www.scidatacon.org/virtual-2021/sessions/329/> Tuesday 20
October, 16:00-17:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZAodeCgrz4pGNYNtLa7D1wq_EGd6BpwOz38>*

The current state of the digital representation of units of measure (DRUM)
across domains is a significant problem relative to the interoperability of
data and it needs to be addressed urgently.  Across the scientific
disciplines there is a wide variety of knowledge about, focus on, and care
with the recording of a unit of measure with each piece of experimental,
calculated, modeled, or derived data. Much information is available
for annotation of units for humans, however there is no authoritative
source for how to represent and store units of measures in digital systems.
This is a fundamental problem for data science currently and a major
problem for the future integration of large, heterogeneous datasets both
within and across disciplines. This session will serve to inform
participants of the ubiquity and urgency of the issue, will bring to light
additional use cases and pain points, and will increase engagement from
multiple stakeholders.

*Scientific Vocabularies: needs, status, validity, governance and
sustainability <https://www.scidatacon.org/virtual-2021/sessions/351/>,
Monday 25 October, 11:00-12:30 UTC and 13:00-14:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZEud-igqD8iEtLfTlK2-gUOWiqySt-c3J4M>*

To maximize semantic interoperability, shared or harmonized terminology is
essential: internationally-agreed controlled vocabularies allow different
domains to express agreement, and thereby globally integrate data and share
a common understanding of the meaning across the natural, social and health
sciences, which transcends their traditional boundaries within a humanities
context. But harmonisation of the vocabularies is not enough: vocabularies
also need to be sustainable and properly governed to enable the inevitable
evolution over time as new concepts become relevant, definitions are
revised, and older concepts are retired or replaced. It is essential to
know which vocabularies to use for a particular purpose, and whether
the vocabularies we select are fit for purpose, and most importantly,
whether they have been endorsed by an authoritative source (e.g., Science
Unions, Scientific Societies). There will be two sessions. The first will
be focussed on the scientific validity of the vocabulary, the context it
addresses, the community and processes required to govern and sustain it
over time, i.e., vocabulary scope, content and governance. The second
session will focus on the technical aspects of building, preserving and
making a vocabulary FAIR and accessible online.

*DDI-CDI: The Challenge of Cross-Domain Data Integration
<https://www.scidatacon.org/virtual-2021/sessions/370/>, Tuesday 26
October, 13:00-14:30 UTC and 16:00-17:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZMpdeirpj8sGdTLQqPKovkIFtaifpMcEZjF>*

This panel examines the development and use of the Data Documentation
Initiative’s Cross-Domain Integration (DDI-CDI) specification. DDI-CDI
provides a model for the enhanced metadata and documentation needed when
integrating data which comes from different domains, characterized by
diverse structures and provenance. This is a double session. The first part
will focus on the capabilities of DDI-CDI and how it complements other
metadata standards for meeting the breadth of requirements in a
cross-domain scenario. The second partwill look at specific implementations
and the challenges of adoption andsupport of standards used in data sharing
between domains. The focus of thispart if to illustrate in a real sense the
challenges to be met, and to look atthe solutions which suggest themselves
based on experience.

*Interoperability of Metadata Standards in Cross-Domain Science
<https://www.scidatacon.org/virtual-2021/sessions/376/>, Wednesday 27
October, 16:00-17:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZEtcuyorjMrHNe4Xqv4nDJ-1sR09q_d-otS>*

Over the past few years (2018, 2019), CODATA and the DDI Alliance have
collaborated on a Dagstuhl Workshop the objective of developing an improved
‘understanding of how metadata specifications (and other semantic
artefacts, such as vocabularies and ontologies) can be aligned to support
cross-discipline (or cross domain) data integration and analysis’. This
activity is a key contribution to the ISC CODATA Decadal Programme: ‘Making
data work for cross-domain grand challenges’. This session will report on
the 2021 workshop, hosted in hybrid format at Dagstuhl and virtually:
‘Interoperability
for Cross-Domain Research: Use Cases for Metadata Standards’
<https://ddi-alliance.atlassian.net/wiki/spaces/DDI4/pages/2677112836/2021+Interoperability+for+Cross-Domain+Research+Use+Cases+for+Metadata+Standards>;
and
the sister workshop held virtually in Australian timezones: Interoperability
for Cross-Domain Research: FAIR Vocabularies
<https://ddi-alliance.atlassian.net/wiki/spaces/DDI4/pages/2681667690/2021+Interoperability+for+Cross-Domain+Research+FAIR+Vocabularies>
. As well as presenting the outcomes of these workshops, this session will
serve as a conclusion of this strand on interoperability. The presenters
will outline a summary of implications and a vision for future work which
session participants will be invited to discuss and critique.

*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

--
*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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