Year: 2025

Released Dec 8, 2025 and effective immediately, the National Science Foundation (NSF) has issued a supplement to the 24-1 edition of the Proposal and Award Policies and Procedure Guide (PAPPG).

PAPPG Chapter 11.D.2.i(ii) contains information on Data Management and Sharing Plan requirements for proposals, and the supplement adds to that section the following statement:

Recipients are required to share all data supporting NSF funded publications at the time of publication. Exceptions to this sharing requirement should be described and justified within the DMSP.

NSF has long required sharing of data that results from NSF funding; the explicit statement of requiring sharing at the point of publication in the general guidance is new. However, this requirement aligns with federal sharing and Public Access requirements, as well as with many publisher requirements to make underlying data available at the time of publication of an associated paper (PLOS, Nature, Science, AGU etc).

To get help preparing data for sharing and finding an appropriate repository, contact data-help@cornell.edu.

• Cornell Library’s Data Curation Service
• Preparing tabular data for description and archiving
• Preparing FAIR data for reuse and reproducibility
• eCommons Meets Federal Data Sharing Requirements
• Generalist Repository Comparison Chart
• NIH Guidance on Selecting a Data Repository

Featured in: NIH grant to fund autism research center (Cornell Chronicle)

Weill Cornell Medicine and CCSS have received a $5.1M, three-year grant from the National Institutes of Health’s Autism Data Science Initiative (ADSI) to launch the Autism Replication, Validation, and Reproducibility (AR²) Center. Principal investigator Judy Zhong, Weill Cornell Medicine, and Co-PI Peter Enns, Robert H. Harrison Director of CCSS, will leverage the advanced computing and replication resources of CCSS to replicate ADSI project results. – Cornell Chronicle

A New Name for Familiar Standards

An executive order listing 9 tenets of Gold Standard Science was issued in May of 2025, but Cornell researchers have been upholding these standards for decades.

If your federal funder asks you to adhere to this Gold Standard

Follow the advice in our infographic about how existing data management best practices already meet the 9 tenets of Gold Standard Science. Solid data management makes it easier to achieve these familiar standards, and Cornell University Library’s Research Data and Open Scholarship group is here to help with informative resources, expert advice, and Cornell’s eCommons Digital Repository. Learn more about Cornell University Library’s Data Curation Service. 

Download the infographic (or the text version) for advice on connecting your data management practices to the 9 tenets of Gold Standard Science.

People use “ORCID” or “ORCID iD” interchangeably, but what they’re talking about is a 16-digit number and the associated record (sometimes called a profile) that links your research (yes, including data!) to you, no matter how common your name is or how many different places you’ve worked and studied.

Since they are required by lots of publishers and funders, many researchers have an ORCID already, but are you taking full advantage of what an ORCID can do for you?

• Start here if you’re new to ORCID and want to learn more.
• By allowing trusted organizations to add research information to your ORCID record, you can spend more time conducting your research and less time managing it.
• Edit your “Published name” in ORCID to control how you want your name to appear when credited, and make your profile public to make it easy for funders, publishers, and potential collaborators to verify your contributions and affiliations.
• Browse ORCID’s support articles for more ideas.
• Get help with your ORCID at Cornell.

As summer approaches and classes wrap up, data collection, analysis, organization, and sharing may be on your mind. Cornell Data Services can help at all stages of research and serves all disciplines.

Email data-help@cornell.edu to request a consultation or learn more about:

• Solutions to store and share data, and how to write a data management and sharing plan
• Preparing data for submission to eCommons, Cornell’s digital repository
• Staying informed about federal impacts on research data

A readme file can be used to provide information and context about data, code, or software and is intended to help ensure that the files can be correctly interpreted and used, by yourself at a later date or by others when data is shared or published. Our general guide to writing “readme” style metadata and the accompanying readme template for data has been one of the most highly visited and dowloaded resources on the CDS website, and we are excited to introduce a new guide: Writing READMEs for research code & software, with an accompanying readme template for software to adapt and use to document your code and software.

Got questions about how to use these templates and organize your data and code for sharing? Contact us and we can work with you to make your data and code as well described and accessible as possible.

Emerging Tech Dialogues

Trust and Data: Tools for our Changing World

April 2nd, 9-4pm | Statler Hall or online

This free, hybrid event is open to all Cornell-affiliated community members including Ithaca, Weill, and Cornell Tech campus staff, faculty, students, and researchers. See the agenda and register for the full day of panels, topics, and sessions featuring a slate of dynamic speakers. Attendees can look forward to sessions and discussions about the ups and downs of being a data-driven community. Let’s explore how we use data to inform process, practice, and generate trust.

Register today!