All news

Year: 2026

Workshop: Mapping Data

June 22, 2026

Do you have a potential digital mapping project but don’t know where to start? Are you interested in learning how to map data but can’t find time to do so? Please join this upcoming hybrid workshop…

Mapping Data: From Design to Data Prep

This part-workshop, part-working session will introduce attendees to practical  concepts and techniques for getting started with mapping data, from project design to preparing data, with time and support to get started on your own project. As a group, we will also discuss challenges, tools, and techniques we’ve tried (or want to try), which will inform further sessions where we’ll delve into more specific topics. Please register regardless of how you plan to attend! Send questions to Jo Klein (jo.klein@cornell.edu), Social Science Research and Spatial Data Librarian, and invite your friends and colleagues.

Attendees will:

  • Identify parts of a digital map, types of spatial information that can be used to make maps, and steps in the digital mapping process.
  • Compare features of example map projects and the tools/software and data used to make them.
  • Sketch or describe a concept of design for their own project (or to remix an example project).
  • Set up a data table or a plan to adapt an existing dataset for mapping.
  • Discuss and explore challenges, tools, and techniques for mapping data.

3 steps to citable, archived code with a DOI

June 9, 2026
  1. Prepare it: Use the checklist for reusable code to prep well-documented, human-readable, portable, organized, and version-controlled code for sharing.
  2. Make it citable: Create a CITATION.cff file using the form on the cffinit website.
  3. Preserve it: Follow the instructions to archive the GitHub repository on Zenodo and get a DOI.

Use the citation generated by Zenodo to cite data and code:

Lee, J., Knepper, R. J., McCabe, G., Hahn, D., Trumbore, B., Halley Gotway, J., Wineholt, B., Wang, Z., Weeks, V., Nelson, B., Islas, A., Dudhia, J., Haupt, S. E., Pryor, S., & Bukovsky, M. (2025). Integrated WRF Framework (I-WRF) (v0.3). Zenodo. https://doi.org/10.5281/zenodo.17917262

* Bonus: Submit data or code to the Cornell University Research Data Community in Zenodo and get help from a Cornell data curator.

Email data-help@cornell.edu for assistance.

ORCID 101 Webinar: The ORCID iD and Record

May 22, 2026

June 9,  3 pm ET

Getting and using your free ORCID iD and ORCID record can help you save time and get credit for your work in funding, publishing, and research reporting workflows. Funding organizations, publishers, and research institutions are increasingly requiring or asking for ORCID iDs from researchers, so this workshop will help you make sure you are ahead of the game. 

This workshop will cover:

  • An overview of the benefits of ORCID for researchers
  • How ORCID can help you save time throughout the research  landscape
  • Tips and tricks for keeping your ORCID record up-to-date

No prior experience with ORCID necessary. REGISTER to Attend (The session recording will be sent to all who register.)

NSF DMSP Requirement Update

April 20, 2026

Reflecting changes announced in the 2026 PAPPG 24-1 Supplement 2, effective April 27, 2026, the Data Management and Sharing Plan format for NSF proposals will change from a PDF document to a webform within the Research.gov proposal system.

Here’s what you need to know:

  • The form will be generated based on the primary Directorate selected during proposal preparation.
  • The form must be completed, unless justification is provided that one is not needed.
  • For proposals submitted before April 27, 2026, any uploaded files will show on your DMSP page, but once data is entered in the new form, any previously uploaded PDF will be overwritten.
    • For proposals submitted before April 27, 2026 you do not have to use the new (updated) form.
  • The form will populate a table, consisting of the following sections:
    • Data or Research Product Category General Information
    • Access Policies and Limitations
    • Data Standards and Metadata
    • Data or Research Product Provenance
    • Public Archiving
    • Timeline for Public Accessibility
    • Data Availability
    • Accountability

More information is available on the Research.gov website.

If you have questions or would like someone to review your DMSP, please reach out to data-help@cornell.edu.

NIH DMSP Requirement Update

February 25, 2026

NIH released Updated Elements of an NIH Data Management and Sharing Plan, effective for grant applications with due dates on or after May 25, 2026. In this update, they shared a new draft Data Management and Sharing Plan Format Page, currently awaiting final approval by the White House Office of Management and Budget (OMB). The new DMSP format is significantly different than the current narrative format. The (draft) new format:

  • Consists of four YES/NO questions , and requires explanations for “NO” answers.
    • There are two additional YES/NO questions for research proposals subject to the NIH Genomic Data Sharing Policy.
  • Asks researcher to list in table format:
    • “Key types of scientific data anticipated to be generated during the project….”, and
    • “The repository or an example of a repository where the scientific data may be managed and shared…”

If you have questions or would like someone to review your DMSP, please reach out to data-help@cornell.edu.

NSF PAPPG 24-1 Supplement 2

January 23, 2026

The National Science Foundation (NSF) has released a second supplement to the 24-1 Proposal and Award Policies and Procedures Guide.
Effective January, 22, 2026:
NSF data sharing policy details vary by directorate, but they all require public access to scientific data in a timely manner. In addition, researchers should also be aware that:

  • Data should be public at time of publication. Exceptions (delays and limiting access) must be justified in the DMSP.
  • Data should be shared using existing standards whenever possible.
  • Samples, physical collections, software, and curriculum materials should be shared as covered by the DMSP.
  • After April 27, 2026, DMSPs must be created using the tool implemented in Research.gov. Proposals submitted before that time should continue to use the 2-page narrative format.
  • Datasets should be deposited in repositories that assign a PID (like a DOI).
    • If no PID has been assigned, an NSF-PAR ID is acceptable .
  • Shared data should be reported in annual and final project reports in the Products section and the dataset’s DOI must be reported to NSF-PAR.

Love Data Week 2026: February 9-13

January 14, 2026

Love Data Week 2026 will include campus-wide informational events focused on data access, analysis, discovery, management, sharing, and preservation in celebration of International Love Data Week. This year’s Love Data Week theme is “Where’s the Data?” – a way to get people thinking about data’s journey from collection through storage and preservation. Come meet us, sign up for our mailing list, grab a sticker or data zine, and chat about data. #LoveData26 

Panel Event: Where’s the Data? Navigating the Data Sharing and Repository Landscape 

February 11, 12:00pm – 1:30pm | Mann Library Room 102 

Information Tabling

  • February 9, 12:00pm – 2:00pm | Mann Library Lobby 
  • February 10, 12:00pm – 2:00pm  | Fine Arts Library (Rand Hall) 
  • February 12, 12:00pm – 2:00pm | Clark Hall 

For full event descriptions see the Love Data Week 2026 page.