Trusted CI Webinar: Trustworthy Data panel Monday, Dec. 7, 11am ET

The  Trustworthy Data Working Group  is hosting a panel on Monday, December 7th at 11 am (Eastern) to discuss tools, standards, community practices for trustworthy scientific data sharing. The panelists are: Jim Basney: Deputy Director,  Trusted CI Sandra Gesing: Associate Research Professor, Department of Computer Science and Engineering; Computational Scientist,  Center for Research Computing ; University of Notre Dame ( PresQT ) Bob Hanisch: Director of...

Registration open for Collaborations Workshop 2021

The Software Sustainability Institute is offering a Collaborations Workshop series. Bringing together researchers, developers, innovators, managers, funders, publishers, policy makers, leaders and educators, this workshop will explore best practices and the future of research software.

Research Data Framework (RDaF): Preliminary Draft

NIST has released a preliminary draft of its work on a Research Data Framework. The objective of the next phase in the development of the RDaF is to test the applicability and usefulness of the Framework Core. To accomplish this objective, two concurrent pilot studies—one in Materials Science and the other in Research Universities, including librarian and publisher roles—will be conducted. We encourage those interested in research data management to have a look at this effort:...

6th ICICT 2021 -- February 25 - 26, 2021

Sixth International Congress on Information and Communication Technology :

ICICT 2021 moved from Physical Mode to Digital mode due to Pandemic COVID-19.

NIH Policy for Data Management and Sharing -- Effective January 25, 2021

In a milestone announcement, after extensive consultation with its communities, the US National Institutes of Health (NIH) has release the final version of their Policy for Data Management and Sharing. This will replace the 2003 NIH data sharing policy, effective January 25, 2021:

CNI Digital Scholarship Planning Webinar - Recordings Available

The 9-part CNI Digital Scholarship Planning webinar series has concluded and recordings of all presentations are available, linked from each session at This link will also lead you to a set of discussion questions developed for each session; if you have a digital scholarship planning group at your institution, these questions can be used to frame some of your planning meetings.

Applications are now open for the 3rd round of Trusted CI Fellows!

We are now pleased to announce the call for applications for our 2021 Trusted CI Fellows. Another cohort of six fellows will receive training from and work closely with Trusted CI to expand their own understanding of trustworthy science and further empower the NSF community to secure its own research. You can learn more about our Fellows program by visiting the Trusted CI website.

Developing a Toolkit for Fostering Open Science Practices: A Workshop -- November 5

A virtual public workshop on developing a toolkit for fostering open science practices will take place on Thursday, November 5, 2020 in conjunction with the Fall 2020 meeting of the Roundtable on Aligning Incentives for Open Science. The workshop will explore the information and resource needs of researchers, research institutions, government agencies, philanthropies, professional societies, and other stakeholders interested in fostering open science practices. Workshop participants will also...

"Data Science Coast to Coast" seminars launch on October 21

This fall, the Berkeley IInstiute for Data Sscience (BIDS) will launch a new seminar series in coordination with five other academic data science institutes, including NYU’s Center for Data Science, Rice University’s Ken Kennedy Institute, Stanford Data Science, the University of Michigan’s Michigan Institute for Data Science (MIDAS), and the University of Washington’s eScience Institute.

All six universities involved are connected to the Academic Data Science Alliance (ADSA),...

2020 Accelerated Artificial intelligence for Big-Data Experiments Conference-- October 19-21

This conference will present an overview of recent efforts in multi-messenger astrophysics, high energy physics, and astronomy to harness innovation in artificial intelligence and large-scale computing to enable and accelerate scientific discovery in the big-data era, and will serve as a platform to create synergies between disparate communities that share similar computational challenges that may be addressed through innovative applications of artificial intelligence and extreme scale...