The Cross-Domain Interoperability Framework (CDIF) is a major output from the WorldFAIR project, and has been published as an initial draft with the completion of project deliverables. CDIF is a set of implementation recommendations, based on profiles of common, domain-neutral metadata standards which are aligned to work together to support core functions required by FAIR. CDIF will continue to be developed and maintained, based on feedback from implementers and the broader FAIR community.

The webinar took place on Thu 25 July at 15:00-16:30 CEST / 13:00-14:30 UTC. Missed it or would like to revisit the presentations? See the recording and link to presentations below. 

Recording of the Webinar

Presentations

This webinar introduced the current recommendations, and describe future directions. The initial CDIF draft covers the following core set of functions necessary to support FAIR exchanges across domain and infrastructure boundaries:

• Discovery (search, cataloguing, etc.)
• Access (programmatic location of access conditions and terms of use) 
• Publication of controlled vocabularies (codelists, classifications, and concepts used in data definition)
• Integration-ready description of data (granular, variable-level metadata)

Additionally, guidance is provided on some ‘universal’ areas which are critical to data integration: time, geography, and units of measure.

Much work remains to be done, and some discussion is provided in the draft of other topics which will serve as the focus of future work: mappings between data sets, provenance and data contextualization, expanded description of data sets and the integration process, and AI readiness. Other relevant topics may emerge.

CDIF is intended to be maintained as the needs of the community develop, and as the technology and standards picture changes. In order to sustain the development of the recommendations, it is important to have an active dialogue with implementers and the FAIR community broadly. To this end, the webinar introduced channels for providing reactions and feedback, for both implementers and business-level users to help drive the future directions of the CDIF development. Opportunities for active engagement with the CDIF development community were also described. 

1. Announce release of the draft and indication of future directions
2. Collecting feedback and reviews (GitHub, website)
3. Expansion of the CDIF initiative and broadening the community in future

Engage with CDIF by signing-up to join the Cross-Domain Interoperability Framework (CDIF)Community or the Working Group or Advisory Group. 

The post The Cross-Domain Interoperability Framework (CDIF): Practical Guidelines for FAIR Interoperability, Webinar, 25 July appeared first on CODATA, Committee on Data of the ISC.

Please register by following the link at the top of each document. There is no registration fee. Once registered, the Zoom system will send a Zoom link and code to join the meeting.

• Saturday 9 September, China National GeneBank (CNGB), Shenzhen, China  and online: International Seminar on Biodata and AI (ISBA) (See the conference website for the programme and registration.)

• Monday Afternoon 4 September 2023; 15:30 to 17:30 Beijing Time (UTC+8, Beijing time) a CODATA IDPC+ Session on ‘Data and AI Policy for the Responsible Governance of Big Data During Crisis Situations for Achieving the UN Sustainable Development Goals’ as part of ‘The 7^th Digital Belt and Road Conference (DBAR 2023)’. Here is the registration link for online participation. (See the linked programme 8.0.)

• Thursday 7 September 2023; 13:30 to 15:00 CST (UTC +8, Beijing time) a CODATA+ Session on ‘Data and AI Policy for the Responsible Governance of Big Data During Crisis Situations for Achieving the UN Sustainable Development Goals’ as part of The 3^rd International Forum on Big Data for Sustainable Development Goals (FBAS 2023). Here is a registration link for online participation. (See the linked programme, 6.0.)

• Wednesday, 27 September 2023, 13:00 to 15:00 UTC; 15:00 to 17:00 CEST (Brussels time): A Research Data Alliance’s (RDA) 10^th Anniversary Webinar organized by the AIDV-WG + GOSC and CODATA IDPC on ‘The Role of Artificial Intelligence in Building Responsible Open Science Infrastructures’. Here is a registration link for online participation. (See the attached programme, 7.0.)

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Title: A Global Research Data Platform: How Globus Services Enable Scientific Discovery
Speaker: Ian Foster, University of Chicago and Argonne National Laboratory

Date: May 26 2022 at 12:30 pm ET
Join Zoom Meeting: https://utah.zoom.us/j/99659937052

More about the webinar and NSDF: http://nationalsciencedatafabric.org/

Abstract: The Globus team has spent more than a decade developing software-as-a-service methods for research data management, available at globus.org. Globus transfer, sharing, search, publication, identity and access management (IAM), automation, and other services enable reliable, secure, and efficient managed access to exabytes of scientific data on tens of thousands of storage systems. For developers, flexible and open platform APIs reduce greatly the cost of developing and operating customized data distribution, sharing, and analysis applications. With 200,000 registered users at more than 2,000 institutions, more than 1.5 exabytes and 100 billion files handled, and 100s of registered applications and services, the services that comprise the Globus platform have become essential infrastructure for many researchers, projects, and institutions. I describe the design of the Globus platform, present illustrative applications, and discuss lessons learned for cyberinfrastructure software architecture, dissemination, and sustainability.

Bio: Dr. Ian Foster is Senior Scientist and Distinguished Fellow, and also director of the Data Science and Learning Division, at Argonne National Laboratory, and the Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago. Ian received a BSc degree from the University of Canterbury, New Zealand, and a PhD from Imperial College, United Kingdom, both in computer science. His research deals with distributed, parallel, and data-intensive computing technologies, and innovative applications of those technologies to scientific problems in such domains as materials science, climate change, and biomedicine. Foster is a fellow of the AAAS, ACM, BCS, and IEEE, and an Office of Science Distinguished Scientists Fellow.

PAST NSDF Webinars (Videos)

Ryan Abernathey, Columbia University – Recording at: https://bit.ly/3vX4rly

The post Call for Participation: National Science Data Fabric (NSDF) Webinar: Distinguished Speaker Ian Foster (U. Chicago and ANL) appeared first on CODATA, Committee on Data of the ISC.