The

The distinct approach of the CDIF4EOSC project (CDIF4EOSC: Developing and implementing the Cross-Domain Interoperability Framework for EOSC) is to build on the Cross-Domain Interoperability Framework (CDIF). The project will extend the CDIF recommendations, adding profiles and guidelines, and use case based examples, to form a comprehensive and actionable playbook for FAIR Integration in the European Open Science Cloud (EOSC) and beyond.\

What is CDIF? What does it seek to do? What does it recommend and why is it useful to EOSC and other Research Infrastructure initiatives? How will the CDIF4EOSC project develop it further and how can you get involved?

Register here to find out more! https://us02web.zoom.us/meeting/register/pYUUWpukSii3TSP6mg2kNA#/registration

This event is public and open to any interested colleagues! This is conceived as the first in a series of webinars, tutorials and other events to familiarise the broad research data stewardship community in EOSC and beyond with the vision of CDIF and the mission and objectives of the CDIF4EOSC project.  The event will introduce the CDIF4EOSC project and will cover CDIF v.1.1 at a conceptual level, suitable for policy experts, data stewards and managers of research infrastructures.  Some of the more technical aspects of the CDIF profiles and recommendations will be covered: although we will happily field questions from technical experts, more detailed events for a technical audience will be organised in due course.

The webinar will cover at least the following topics:

1. Welcome to the CDIF4EOSC project!
   • • Aims and objectives
     • How to get involved, to comment and give feedback!
2. What is CDIF?
   • • Vision and background
     • What is the purpose of CDIF?
     • What does it NOT aim to do?
     • Why is it important and useful?
     • Timeline of v 1.0 and subsequent developments
3. Introduction to v 1.1
   • • Scope
     • What is a “CDIF Profile”? (Implementation Artifacts and Conformance)
     • Development and Production Process
     • Maintenance: Issues, Versioning and Repositories
4. Current CDIF 1.1 profiles
5. Roadmap: CDIF4EOSC and ongoing developments
   • • Why is this important for EOSC and other international and national RI initiatives?
6. Next Steps: feedback on v.1.1, how to get involved with CDIF and CDIF4EOSC.

The post Launch of CDIF4EOSC and CDIF v.1.1: an open, public webinar, Thursday 2 July, 15:00-17:00 CEST appeared first on CODATA, Committee on Data of the ISC.

CODATA

Version 1.1 represents a substantial enhancement of the CDIF recommendations, with increased support for FAIR functional requirements, and a new technical approach, featuring validation tools and improved documentation. While a significant step forward, resulting from two years of implementation and further development since the initial CDIF release in May 2024, version 1.1 is also forward-looking: the CDIF4EOSC project has just started, and will drive the next major round of CDIF developments. To support this, improvements to date have been consolidated in version 1.1 and will provide a baseline for further developments led by the CDIF4EOSC project.

After the initial work in the WorldFAIR project, resulting in the release of CDIF version 1.0, the WorldFAIR+ Initiative continued testing and development of the framework. CDIF has been used in several different projects, including the OSCARS-funded CDIF4XAS project on X-ray absorption spectroscopy, implementation in the Climate-Adapt4EOSC project, the International Science Council supported project on Disaster Relief and Preparedness in Malawi, an ADA astro-materials prototype, and several others. Feedback from these projects has been incorporated in version 1.1, as have requested minor changes to some of the standards recommended for use. Version 1.1 may not be a major version change, but it represents a significant improvement in the maturity of the recommendations.

Changes in the scope and coverage of CDIF are:

• Identification of a set of Core fields, for use in all profiles
• Addition of support for binary data file such as HDF5, NetCDF, and Parquet
• Inclusion of the Manifest profile, to enable packaging of resources into FAIR Digital Objects (FDOs) using RO Crate or similar packaging technologies
• Reorganization of the Data Description profile to cover the publication of reusable data structure descriptions and variables with DDI-CDI
• Increased nuance in the description of controlled vocabularies with SKOS: Codelist and Concept Scheme profiles express the difference between lists of enumerated values used in data, and broader semantic resources

These features complement the existing capability to support FAIR access with ODRL and discovery and cataloguing using Schema.org. While significant work has been undertaken in the description of provenance information, this is not yet included in this release, nor is the upcoming revision to the Access profile. These profiles — along with several other enhancements for the description of Units of Measure, integration with Croissant for use by agentic AI, and a more-complete implementation using DCAT — are expected to be released soon. The CDIF4EOSC project will add additional support for describing data quality, context and complex variables (using (I-ADOPT), packaging (using RO-Crates), semantic mapping, and software resources.

Importantly in the CDIF 1.1 release, there is significant increase in the set of specific artefacts to support developers. CDIF Profiles now have a set of implementation tools and documentation, including:

• Detailed descriptions of each recommended metadata field
• SHACL rules for validation of JSON-LD instances
• JSON Schema for validation of JSON-LD instances
• JSON-LD Frames and Python tools for populating them
• A set of example instances
• Graphical documentation of the JSON Schema implementation

The production system for CDIF is now being transitioned to a UML Model-driven architecture, where a detailed model serves as the integrated source for all profiles, ensuring consistency across the entire set of implementation artefacts and alignment of metadata objects across different profiles and standards. All the various validation tools and documentation will be generated from this model. It is expected that the set of implementation tools will also be increased as CDIF continues to grow, with a major development effort being included in the CDIF4EOSC project.

CDIF version 1.1 establishes a strong basis for the implementation of systems to enable FAIR exchange across domain and infrastructure boundaries and paves the way for even greater future developments.

The post CDIF 1.1 Release appeared first on CODATA, Committee on Data of the ISC.

CODATA

Version 1.1 represents a substantial enhancement of the CDIF recommendations, with increased support for FAIR functional requirements, and a new technical approach, featuring validation tools and improved documentation. While a significant step forward, resulting from two years of implementation and further development since the initial CDIF release in May 2024, version 1.1 is also forward-looking: the CDIF4EOSC project has just started, and will drive the next major round of CDIF developments. To support this, improvements to date have been consolidated in version 1.1 and will provide a baseline for further developments led by the CDIF4EOSC project.

After the initial work in the WorldFAIR project, resulting in the release of CDIF version 1.0, the WorldFAIR+ Initiative continued testing and development of the framework. CDIF has been used in several different projects, including the OSCARS-funded CDIF4XAS project on X-ray absorption spectroscopy, implementation in the Climate-Adapt4EOSC project, the International Science Council supported project on Disaster Relief and Preparedness in Malawi, an ADA astro-materials prototype, and several others. Feedback from these projects has been incorporated in version 1.1, as have requested minor changes to some of the standards recommended for use. Version 1.1 may not be a major version change, but it represents a significant improvement in the maturity of the recommendations.

Changes in the scope and coverage of CDIF are:

• Identification of a set of Core fields, for use in all profiles
• Addition of support for binary data file such as HDF5, NetCDF, and Parquet
• Inclusion of the Manifest profile, to enable packaging of resources into FAIR Digital Objects (FDOs) using RO Crate or similar packaging technologies
• Reorganization of the Data Description profile to cover the publication of reusable data structure descriptions and variables with DDI-CDI
• Increased nuance in the description of controlled vocabularies with SKOS: Codelist and Concept Scheme profiles express the difference between lists of enumerated values used in data, and broader semantic resources

These features complement the existing capability to support FAIR access with ODRL and discovery and cataloguing using Schema.org. While significant work has been undertaken in the description of provenance information, this is not yet included in this release, nor is the upcoming revision to the Access profile. These profiles — along with several other enhancements for the description of Units of Measure, integration with Croissant for use by agentic AI, and a more-complete implementation using DCAT — are expected to be released soon. The CDIF4EOSC project will add additional support for describing data quality, context and complex variables (using (I-ADOPT), packaging (using RO-Crates), semantic mapping, and software resources.

Importantly in the CDIF 1.1 release, there is significant increase in the set of specific artefacts to support developers. CDIF Profiles now have a set of implementation tools and documentation, including:

• Detailed descriptions of each recommended metadata field
• SHACL rules for validation of JSON-LD instances
• JSON Schema for validation of JSON-LD instances
• JSON-LD Frames and Python tools for populating them
• A set of example instances
• Graphical documentation of the JSON Schema implementation

The production system for CDIF is now being transitioned to a UML Model-driven architecture, where a detailed model serves as the integrated source for all profiles, ensuring consistency across the entire set of implementation artefacts and alignment of metadata objects across different profiles and standards. All the various validation tools and documentation will be generated from this model. It is expected that the set of implementation tools will also be increased as CDIF continues to grow, with a major development effort being included in the CDIF4EOSC project.

CDIF version 1.1 establishes a strong basis for the implementation of systems to enable FAIR exchange across domain and infrastructure boundaries and paves the way for even greater future developments.

The post Release of the Cross-Domain Interoperability Framework (CDIF) Version 1.1 appeared first on CODATA, Committee on Data of the ISC.

Developed by the DPC Carbon Footprint Task Force, the Toolkit provides a practical methodology to help organisations calculate the carbon footprint of their digital preservation activities, and includes a Carbon Footprint Calculation Tool to support carbon footprint calculations in practice.

Alicia Wise, Executive Director of CLOCKSS and Chair of the DPC Carbon Footprint Task Force, said: “The DPC’s 170+ members in 20+ countries identified environmental sustainability of digital preservation as a key topic of shared interest, and it has been an honour to chair the talented task and finish group convened to develop a toolkit on calculating the carbon footprint of digital preservation activities.”

“We drew on experience from Canada, Finland, the Netherlands, the UK, and the US to deliver a guide that will help you no matter what stage of the journey you are on. Please join us on this journey, and we will be delighted to evolve the toolkit based on your implementation experiences!”

The DPC is now inviting feedback on the draft Toolkit and also seeking participants for a small support group to help test it over the next six months. No prior experience with carbon footprint calculations is necessary, and those interested in joining the group are invited to complete the expression of interest form<https://docs.google.com/forms/d/e/1FAIpQLSf3TSyA9TEpk-67hJHbV-QNqy4Z-c5q2gmv2lXIa2KA4n0uqA/viewform?usp=sharing&ouid=111425233586828748631> by 10 April 2026.

Further information, including access to the draft Toolkit is available here: https://www.dpconline.org/news/draft-carbon-footprint-toolkit-released-for-community-testing.

Apologies for cross-posting.

Kind regards/Met vriendelijke groet,

Angela Puggioni
Community Engagement Manager
Digital Preservation Coalition
https://www.dpconline.org/

The post Digital Preservation Coalition draft Carbon Footprint Toolkit now available for comment and testing appeared first on CODATA, Committee on Data of the ISC.

Among all components of Open Science, the sharing of research resources, such as large-scale data, compute, network, software, algorithms and others across domains and regions ignite more possibilities for scientific discovery but come with considerable additional costs. Cloud services provide an elastic and scalable resource scheduling mechanism to feed the needs of resources sharing across domains but still faces challenges, such as interoperability and others. The OSCs Xⁱ metadata TG aims to overcome these barriers by developing a unified metadata framework designed for Open Science Cloud services. By leveraging the approach of Everything-as-a-service model (XAAS) for Open Science Cloud, it ensures consistent and clear descriptions of various levels of services, types, granularities, attributes of resources and models of service delivery in scenarios.

Significance

We expect the TG deliverables to serve as a cutting-edge portrait of Open Science Infrastructures, addressing the UNESCO Recommendation on Open Science. Additionally, they will showcase CODATA’s efforts in promoting Open Science and open data by providing practical solutions to bridge the gaps in managing federated, accessible, interoperable, interconnected, and inclusive research e-infrastructures that support both scientific and societal progress.

Impact

The standardized metadata developed by the TG will be applicable across various research infrastructure platforms. They will support unified metadata for data-model interaction, end-to-end cloud service management, and large-scale, cross-regional, and cross-domain collaborative sharing. These standards will also be implemented within the Global Open Science Cloud (GOSC) initiative, which aims to achieve interconnectivity and interoperability among various open science platforms and initiatives worldwide.

Planned (and later on actual) activities and outputs for 2025-2027

• A final report drafting a human understandable and machine-readable Xi metadata schema v1.0;
• Pilot examples of adoption and call for a broadened scope of implementation in regions and domains.
• 1-2 research articles submitted to the CODATA Data Science Journal and other publishing platforms, open repositories.
• Annual workshops and seminars that integrate the dialogues and insights delivered for capacity building, supported by the TG and news pieces and blogs co-branded by CODATA highlight the ongoing progress and possible deliverables, as well as an expanded community network for FAIR adoption.

Contacts

Co-chairs: Dr. Lili Zhang (GOSC IPO, CNIC, CAS), Prof. Eva Méndez (Universidad Carlos III de Madrid), Dr. Yin Chen (EGI)

The TG Secretary: Ms. FENG Runjin (GOSC IPO/ Beihang University)

Page last updated: 2025-12-18

The post Open Science Cloud Service XI Metadata TG (OSCs XI metadata TG) appeared first on CODATA, Committee on Data of the ISC.

Part 1 describes the four innovative services of the project, designed to support data-driven climate adaptation: OPENHIDRA, 3SES, Just-CURS and BDANALYTICS

Part 2 explores the project’s innovative services in greater depth and find answers to the following questions :

 Where will the service be demonstrated and why ?
 How will the service be deployed and integrated within EOSC ?

Part 1: https://www.youtube.com/watch?v=ASc0CTJS3TQ

LinkedIn: linkedin.com/feed/update/urn:li:activity:7384870852485615616

Part 2: https://www.youtube.com/watch?v=WET6jrr_zT0

LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:7387141841617502208/

Climate-Adapt4EOSC YouTube channel: https://www.youtube.com/@Climate-Adapt4EOSC

Join the CA4EOSC Stakeholder Forum: https://climate-adapt4eosc.eu/stakeholder-forum/

Many thanks to all the partners of the project that contributed to this video:
 Thanasis Sfetsos, Alberto Azevedo, Mostafa Kamal Sarker, Christophe Boré

The post Climate-Adapt4EOSC Innovative Services appeared first on CODATA, Committee on Data of the ISC.

The project’s second deliverable presents an overview document and a set of mappings from XAS community standards (XDI and NXxas) to CDIF.

CDIF-4-XAS: Mappings from Community Standards to CDIF https://doi.org/10.5281/zenodo.17421917 
 
GitHub Repository: https://github.com/CDIF-4-XAS/XAS-CDIF 

The covering document and the associated spreadsheet and other materials present an initial attempt to take the major community standards used for X-Ray Absorption Spectroscopy (XAS) and map them to the standards recommended for cross-domain FAIR sharing of data by the Cross Domain Interoperability Framework (CDIF) guidelines. The current standards landscape within the XAS community has been extensively described in the document “Overview of X-Ray Absorption Spectroscopy standards, vocabularies (and ontologies), data formats and practices”. This document builds on the analysis presented in that document as a concrete exploration of how the data and metadata from the two most common XAS standards can be expressed in a CDIF-described package to facilitate use across domain, institutional, and application boundaries. It is felt that a concrete application of the standards and guidelines involved will clearly indicate the next steps for implementation.

While the focus of this document is technical, there are also implications for how other activities by domain groups and standards bodies can most effectively be conducted. These implications can be provided as feedback to various groups, and these will be mentioned here. The specific recommendations to be made to such groups do not, however, form part of this deliverable, but will be formulated more completely in other project deliverables in the future.

The full package comprises the following:

1. “CDIF-4-XAS: Mappings from Community Standards to CDIF”: this document provides an overview for the mapping exercise. (CDIF4XAS_Mappings_Intro_V1-FINAL_TEMPLATE.pdf
2. XAFS Data Interchange (XDI) Format Mapping to CDIF: this document shows how the different metadata fields in an XDI file are mapped into Schema.org per the CDIF recommendations. (XDISpec-FieldsCDIF-Schema.orgMapping.docx)
3. Example of XDI metadata in CDIF: This is a JSON-LD file formatted according to the CDIF recommendations, containing an example of XDI metadata (se_na2so4-testschemaorg-cdiv3.jsonLD)
4. Input XDI file: this is the XDI file used as the basis of the JSON-LD exammple in 3. (se_na2so4_rt.xdi)
5. Mapping Spreadsheet for HDF5/NeXus/NXxas: This spreadsheet describes the mapping from HDF5 files created according to the NXxas profile of NeXus to CDIF-recommended standards. (XAS-CDIFImplementation.xlsx)
6. XAS Glossary Spreadsheet: this spreadsheet provides definitions and other information for a draft community glossary to support this mapping exercise (XAS_Glossary.xslx)
7. XAS Glossary in SKOS: this files provides a machine-actionable version of the community glossary, to serve as an example of how the glossary could be published for FAIR purposes. (XAS_Glossary_SKOS.json)

The package fulfills ‘D2: Semantic description of at least two XAS community standards using a CDIF profile (XAS-CDIF)’ of the OSCARS-funded project CDIF-4-XAS.

The post D2 Mappings from Community Standards to CDIF appeared first on CODATA, Committee on Data of the ISC.

The project’s second deliverable presents an overview document and a set of mappings from XAS community standards (XDI and NXxas) to CDIF.

CDIF-4-XAS: Mappings from Community Standards to CDIF https://doi.org/10.5281/zenodo.17421917 
 
GitHub Repository: https://github.com/CDIF-4-XAS/XAS-CDIF 

The covering document and the associated spreadsheet and other materials present an initial attempt to take the major community standards used for X-Ray Absorption Spectroscopy (XAS) and map them to the standards recommended for cross-domain FAIR sharing of data by the Cross Domain Interoperability Framework (CDIF) guidelines. The current standards landscape within the XAS community has been extensively described in the document “Overview of X-Ray Absorption Spectroscopy standards, vocabularies (and ontologies), data formats and practices”. This document builds on the analysis presented in that document as a concrete exploration of how the data and metadata from the two most common XAS standards can be expressed in a CDIF-described package to facilitate use across domain, institutional, and application boundaries. It is felt that a concrete application of the standards and guidelines involved will clearly indicate the next steps for implementation.

While the focus of this document is technical, there are also implications for how other activities by domain groups and standards bodies can most effectively be conducted. These implications can be provided as feedback to various groups, and these will be mentioned here. The specific recommendations to be made to such groups do not, however, form part of this deliverable, but will be formulated more completely in other project deliverables in the future.

The full package comprises the following:

1. “CDIF-4-XAS: Mappings from Community Standards to CDIF”: this document provides an overview for the mapping exercise. (CDIF4XAS_Mappings_Intro_V1-FINAL_TEMPLATE.pdf
2. XAFS Data Interchange (XDI) Format Mapping to CDIF: this document shows how the different metadata fields in an XDI file are mapped into Schema.org per the CDIF recommendations. (XDISpec-FieldsCDIF-Schema.orgMapping.docx)
3. Example of XDI metadata in CDIF: This is a JSON-LD file formatted according to the CDIF recommendations, containing an example of XDI metadata (se_na2so4-testschemaorg-cdiv3.jsonLD)
4. Input XDI file: this is the XDI file used as the basis of the JSON-LD exammple in 3. (se_na2so4_rt.xdi)
5. Mapping Spreadsheet for HDF5/NeXus/NXxas: This spreadsheet describes the mapping from HDF5 files created according to the NXxas profile of NeXus to CDIF-recommended standards. (XAS-CDIFImplementation.xlsx)
6. XAS Glossary Spreadsheet: this spreadsheet provides definitions and other information for a draft community glossary to support this mapping exercise (XAS_Glossary.xslx)
7. XAS Glossary in SKOS: this files provides a machine-actionable version of the community glossary, to serve as an example of how the glossary could be published for FAIR purposes. (XAS_Glossary_SKOS.json)

The package fulfills ‘D2: Semantic description of at least two XAS community standards using a CDIF profile (XAS-CDIF)’ of the OSCARS-funded project CDIF-4-XAS.

The post Mapping X-Ray Absorption Spectroscopy Standards to CDIF appeared first on CODATA, Committee on Data of the ISC.

International Data Week 2025

WorldFAIR+ and CDIF Update and Next Steps Meeting, Sun 12 Oct

CODATA convened a ‘WorldFAIR+ and CDIF Update and Next Steps Meeting’ to provide an update on CDIF developments, to get feedback on progress, and to identify new potential new collaborations and partnerships.

The workshop addressed the following topics.

1. CDIF general progress, vision and next steps.
2. Progress with funded projects (CDIF4XAS, Climate-Adapt4EOSC, FAIR4DDE).
3. Updates on recent funding proposals and implications.
4. Plans for upcoming Dagstuhl workshop.
5. Priority topics: context, provenance and data quality; dealing with binary data formats; CDIF, Croissant and AI.
6. Governance, release management and licensing.
7. Suggestions, recommendations, opportunities for collaboration, AOB?

The presentation set can be accessed here [pptx | pdf]!

CDIF Sessions at IDW2025

There are a number of sessions in the coming week that relate to CDIF.

Metadata: beyond discovery, extending the Cross Domain Interoperability Framework, 12:00 – 13:30 AEST, Mon 13 Oct [pptx | pdf]

The yellow pages of FAIR-enabling resources, 16:30 – 17:00 AEST, Mon 13 Oct

Legal and organisational aspects of data interoperability: climate adaptation case studies, 11:00 – 12:30 AEST, Thu 15 Oct

AI Sessions at IDW2025

Another important topic, with links to CDIF, is that of the role of AI in science in general and in data stewardship in particular.

Plenary Session 2: Rigorous, responsible and reproducible science in the era of FAIR data and AI, 09:00 – 10:30 AEST, Tue 14 Oct

AI for Metadata Enhancement, Metadata for AI Readiness: how do we ensure a virtuous rather than a vicious circle?, 16:00 – 17:30 AEST, Tue 14 Oct

CODATA Convened Session: AI for Science, 09:00 – 10:30 AEST, Weds 15 Oct

The post CDIF at IDW2025 appeared first on CODATA, Committee on Data of the ISC.

Coordinated by UNESCO and the CODATA International Data Policy Committee (IDPC), the Toolkit contributions were created to support institutions and scientific projects in developing data systems that are timely, interoperable, ethical, and trustworthy across data management plans, institutional boundaries, and jurisdictions for the preparedness, response, and recovery phases of crisis situations.

The Toolkit Resources

The Toolkit contributions are developed to work as follows:

1. The Factsheet: a concise orientation for scientists, data experts, policymakers, and institutional leadership. It establishes the mandate, scope, and value proposition of adopting open science‑based crisis data policies while signposting alignment with the Sendai Framework for Disaster Risk Reduction and the UNDRR-ISC Hazard Information Profiles (HIPs) 2025 update.
2. The Guidance: a structured playbook for policy co‑design across preparedness, response, and recovery across stakeholders, data management plans, institutions, and jurisdictions. It details the need to identify roles and responsibilities; legal bases and safeguards; interoperability and transparency requirements; ethics and duty‑of‑care; and pathways for whole‑of‑system adoption across digital and crisis preparedness borders.
3. The Checklist: a practical readiness tool for teams. It supports an overview of what is required alongside assisting in preparing drills, gap analysis, and quarterly monitoring. Each item can be mapped to Sendai priorities and HIPs fields in platforms and standard operating procedures.

These toolkit resources are designed to help crises management partnerships apply open science frameworks within legally accepted safeguards for data collection, processing, sharing, and retention of data. They promote inter‑institutional and cross‑border transfers while ensuring data protection, confidentiality, and security. They give special attention to the FAIR and CARE data stewardship principles as well as the TRUST principles for digital repositories, emphasising the need for transparency towards the public, proportionality in data use, community engagement, and the duty of care – especially for vulnerable and at‑risk populations.

By providing a structured approach, these resources assist partners engaged in crisis mitigation with developing and aligning data policies for digital cooperation for reliable information shared among scientists, first responders, policymakers, and communities. They offer a pathway for data collaboration across disciplines, institutions, and sectors. This supports the co‑designing and documenting digital teamwork involving legal, technical, operational, and communications teams, reinforced (as appropriate) with cross‑border data‑sharing agreements and public transparency practices.

Data policies in times of crises should balance openness with responsibility, respecting sovereignty while also ensuring appropriate, reliable and actionable access to information. These UNESCO toolkit resources for developing data policies should also assist in developing clear governance frameworks for data processors and decision‑makers. Ultimately, the aim is to better inform communities, first responders, and policymakers.

The UNESCO guidance documents address the critical need to operationalise and test cooperation in data for preparedness as well as during real‑time crises, including health emergencies, disasters, and geo‑political conflicts. Framed within the broader context of the UNDRR Sendai Framework for Disaster Risk Reduction 2015–2030 and the ISC and UNDRR Hazard Information Profiles (HIPs): 2025 version, they contribute to the United Nations’ and global efforts to mitigate the impact of crises on persons and communities.

Next Steps and Action!

Following the successful launch of these UNESCO Open Science Toolkit resources, the project team is now moving towards operationalizing the guidance through the following measures:

1. Data policies in context: developing context relevant data policies that address the needs of crises data management aligned with people, organizations, instruments, and hazards.
2. Testing and validation: using the resources, particularly the Checklist, to run periodic drills, red‑team exercises, and after‑action reviews that will allow partners to capture lessons and further develop their cooperation.

To UNESCO-CODATA team is taking a number of steps to achieve these objectives.

• A proposal has been submitted to the UNESCO International Decade of Sciences for Sustainable Development (2024-2033): ‘Piloting the UNESCO-CODATA Toolkit Contributions on ‘Data Policies for Times of Crisis Facilitated by Open Science (DPs4Crises-Pilot)’.
• The Türkiye case study in CODATA’s ISC supported project ‘FAIR Data and Emergencies’ will organise a workshop in Ankara in November which will focus both on implementing the UNESCO toolkit resources AND exploring the role that the Cross-Domain Interoperability Framework (CDIF) can play to assist in mobilising and integrating data for disaster risk reduction.
• To find out more, come to the session in the SciDataCon component of International Data Week 2025, From Guidance to Practice: Implementing Open Science Data Policies in Crisis Situations (15 October, 14:00 AEST)

Feedback on how these crises management policy resources can be operationalized and further developed is warmly welcomed by the UNESCO-CODATA Project Team. Please share your comments with the International Data Policy Committee (IDPC) Co-chairs directly or through the CODATA Secretariat info@codata.org. 

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