[CODATA-international] The WorldFAIR Webinar Series: Guidelines and Recommendations from the Case Studies on Chemistry and Nanomaterials

Fri Apr 19 07:07:30 EDT 2024

April 22 @ 1:00 pm – 2:00 pm (UTC)
Register here
<https://zoom.us/meeting/register/tJcudeyprzwiE9I7SPN6yZ5_eW1ES3xsel9->

Speakers:

   - Evan Bolton: Protocol Services: Standardized programmatic access to
   chemical information
   - Stuart Chalk: Training Cookbook: Digital recipes for managing chemical
   data
   - Iseult Lynch: The Case Study on Nanomaterials

More about the Case Studies

Chemistry

The WP3 (FAIR Chemistry <https://iupac.org/project/2022-012-1-024/>) aims
to align chemistry data standards with the FAIR data principles through:

   - Development of guidelines, tools and validation services that enable
   scientists to share and store data in a FAIR manner;
   - Addressing gaps in standards that currently restrain chemistry in both
   academic and industrial areas, in particular taking advantage of
   developments in AI/ML;
   - Engaging critical stakeholders in the adoption of standards and best
   practices to significantly increase the amount of chemical data available
   for all scientific disciplines.

Chemical substances touch on all areas of laboratory science and chemistry
underlies many critical worldwide issues, including climate, health, food
availability and sustainable development. Increased reporting of
machine-readable chemical data will support active research in chemistry
and related sciences worldwide, and will be essential to the development of
the interdisciplinary science critical to address the UN Sustainable
Development Goals and UNESCO’s priorities around Open Science. IUPAC
<https://iupac.org/>is the world authority on chemical nomenclature,
terminology, and standardized methods of measurement, and is engaging in a
concerted effort through collaboration with the broader chemistry and data
science communities to translate a range of assets and activities into the
digital domain. Aligning standards development and implementation with the
FAIR data principles will facilitate development of guidelines, tools and
validation services that support scientists to share and store data in a
FAIR manner and support the ability to compile and interpret data across
scientific disciplines.

The WP3 (FAIR Chemistry <https://iupac.org/project/2022-012-1-024/>) aims
to align chemistry data standards with the FAIR data principles through:

   - Development of guidelines, tools and validation services that enable
   scientists to share and store data in a FAIR manner;
   - Addressing gaps in standards that currently restrain chemistry in both
   academic and industrial areas, in particular taking advantage of
   developments in AI/ML;
   - Engaging critical stakeholders in the adoption of standards and best
   practices to significantly increase the amount of chemical data available
   for all scientific disciplines.

Chemical substances touch on all areas of laboratory science and chemistry
underlies many critical worldwide issues, including climate, health, food
availability and sustainable development. Increased reporting of
machine-readable chemical data will support active research in chemistry
and related sciences worldwide, and will be essential to the development of
the interdisciplinary science critical to address the UN Sustainable
Development Goals and UNESCO’s priorities around Open Science. IUPAC
<https://iupac.org/>is the world authority on chemical nomenclature,
terminology, and standardized methods of measurement, and is engaging in a
concerted effort through collaboration with the broader chemistry and data
science communities to translate a range of assets and activities into the
digital domain. Aligning standards development and implementation with the
FAIR data principles will facilitate development of guidelines, tools and
validation services that support scientists to share and store data in a
FAIR manner and support the ability to compile and interpret data across
scientific disciplines.

Nanomaterials

The mapping of existing initiatives to increase the FAIRness of both
nanomaterials and mixture toxicity datasets and computational approaches
for toxicity and mixture assessment is a critical step towards identifying
both the domain- specific features and the general features needed to
maximise data and model FAIRness.

Building on this mapping, and the development of a FIP, the case study will
foster development and piloting of interoperability standards and
guidelines for increasing FAIRness in the interlinked scientific
disciplines (chemical toxicity, nanomaterials toxicity and
characterisation, risk assessment, advanced materials, environmental
science), and across the different domains.

This case study will enable the further adoption of the FAIR principles by
the international nanomaterial community and encourage greater alignment
with neighbouring disciplines and communities.

It builds on the partners’ successful collaboration in NanoCommons (a
research infrastructure for nanoinformatics and FAIR nanomaterials data)
and their leadership of the IUPAC InChI Trust efforts to develop a standard
extension of the InChI for nanomaterials.

It will test the pilot operationalisation of the FAIR principles; run
conference sessions and workshops with stakeholders (including the
InChI-for-nano domain experts, and international ‘nano’ database managers
and their users) to apply, refine, implement, improve the metrics for FAIR
nanosafety datasets; and develop an inventory of FAIR nanoinformatics
models and their domains of applicability, underpinning datasets and APIs
to support interoperability, including guidelines to further improve the
interoperability of nanoinformatics models.

The results will include complete human- and machine-readable nanomaterials
data provenance trails that can be implemented in a straightforward way
using the distributed FAIRification approach.

Thanks,

Asha

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

E-Mail: asha at codata.org
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