Daniel S. Katz is Chief Scientist at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign and Research Professor in the Siebel School of Computing and Data Science and the School of Information Sciences (iSchool). Dan's interest is in the development and use of advanced cyberinfrastructure to solve challenging problems at multiple scales. His technical research interests are in applications, algorithms, fault tolerance, and programming in parallel and distributed computing. He is also interested in policy issues, including citation and credit mechanisms and practices associated with software and data, organization and community practices for collaboration, and career paths for computing researchers. He is a senior member of the IEEE and ACM, co-founder and current Associate Editor-in-Chief of the Journal of Open Source Software, co-founder of US-RSE, and co-founder and the steering committee chair for the Research Software Alliance (ReSA).
Dear Colleagues, We are pleased to announce the Software Citation Workshop — an interactive, cross‑disciplinary event focused on advancing best practices, implementation strategies, and community engagement for software citation in astronomy research (and beyond). Workshop Dates: Monday April 13 – Thursday April 16, 2026 in sunny San Diego! (UCSD) Application Deadline: Monday, February 2nd This […]
“FAIR Principles Implementation in ML/AI – Findings from Skills4EOSC Delphi Study” by Elda Osmenaj, Curtis J M Sharma, Ugo Moschini, Lisana Berberi, and Valentina Pasquale has been published in IJDC as https://doi.org/10.2218/ijdc.v19i1.1085
Do you think the FAIR principles for Research Software (https://doi.org/10.15497/RDA00068) are working? 2+ years after publishing, with over 500 people involved, we’re keen to understand if the FAIR principles have been useful & usable. If not, we’re asking the community what needs changing to make them work. Survey: https://forms.gle/sRhRQD4gWBQWzcGS7 Webinars about the review process: 1. […]
Do you think the FAIR principles for Research Software (https://doi.org/10.15497/RDA00068) are working? 2+ years after publishing, with over 500 people involved, we’re keen to understand if the FAIR principles have been useful & usable. If not, we’re asking the community what needs changing to make them work. Survey: https://forms.gle/sRhRQD4gWBQWzcGS7 Webinars about the review process: 1. […]
Do you think the FAIR principles for Research Software #FAIR4RS are working? The FAIR Principles for Research Software (https://doi.org/10.15497/RDA00068) were published in March 2022 and described in a paper (https://doi.org/10.1038/s41597-022-01710-x) in October 2022. Now, about two years later and as planned when the principles were being developed (see Maintenance and Retirement Plan in […]
Do you think the FAIR principles for Research Software #FAIR4RS are working? The FAIR Principles for Research Software (https://doi.org/10.15497/RDA00068) were published in March 2022 and described in a paper (https://doi.org/10.1038/s41597-022-01710-x) in October 2022. Now, about two years later and as planned when the principles were being developed (see Maintenance and Retirement Plan in […]
Dear colleagues, The FARR (FAIR in ML, AI-readiness, and Reproducibility) Research Coordination Network is supporting efforts to increase AI-readiness in earth sciences communities (farr-rcn.org ). As one aspect of its activities, FARR is inviting proposals for focused, limited-term efforts to advance some aspect of AI-readiness in an earth sciences domain. Proposals should be for 1 […]
Dear PRO4RS folks. The URSSI policy project’s latest article is published in CommonPlace, titled ‘From Code to Tenure: Valuing Research Software in Academia’. This article explores ways to better acknowledge and support research software in the academic community. Read the full article here: https://doi.org/10.21428/6ffd8432.8f39775d We’re also looking for your thoughts on improving research software. Join […]
Hi all, Carole Goble pointed me to https://mlcommons.github.io/croissant/ which might be of interest to others in this group too. Dan — Daniel S. Katz Chief Scientist, NCSA Research Associate Professor, CS Research Associate Professor, ECE Research Associate Professor, iSchool University of Illinois Urbana Champaign (217) 244-8000 ***@***.*** or ***@***.*** https://danielskatz.org
Interesting to think about for our IG? https://the-turing-way.netlify.app/reproducible-research/licensing/licen… — Daniel S. Katz Chief Scientist, NCSA Research Associate Professor, CS Research Associate Professor, ECE Research Associate Professor, iSchool University of Illinois (217) 244-8000 ***@***.*** or ***@***.*** https://danielskatz.org
