Year: 2022

Beginning November 1, 2022, Cornell’s Center for Advanced Computing and Weill Cornell Medicine Scientific Computing, ITS, and Clinical and Translational Science Center are launching a new Scientific Computing Training Series. The Zoom-based training is available for free to all workforce members and students of Cornell, WCM, WCM-Q, and Cornell Tech. For course descriptions, prerequisites, and Zoom links, visit https://its.weill.cornell.edu/scientific-computing-training-series.

The White House Office of Science and Technology Policy has updated its guidance for making federally funded research freely available. The memo recommends that federal agencies update their policies as soon as possible (but no later than the end of 2025) to eliminate 12-month embargos on publications and supporting data from federally funded research. Building on the 2013 Memo, “Increasing access to results of federally funded scientific research”, this new policy guidance  strengthens requirements for research data management to increase transparency, integrity and access of federally funded data and publications. More information can be found in the OSTP Press Release, and on numerous blogs and articles, including the Data Curation Network, SPARC, PLOS One and others.

   NIH released Notice NOT-OD-22-189 “to inform the extramural research community of implementation details for the NIH Policy for Data Management and Sharing (DMS Policy) affecting grant and cooperative agreement applications submitted for receipt dates on or after January 25, 2023.” The notice also includes links to the final version of the policy and a number of supplemental information pages.

Discover software and techniques to support your data including Python, R, Stata, machine learning, and qualitative analysis! CCSS is offering a Data Science Boot Camp August 15-26.

May is a time when many students will be graduating and finishing up research projects. As you’re preparing to leave, consider using this data exit checklist created by the University of Illinois Research Data Service.

Using a data exit checklist isn’t just good for data management practice, it has real benefits:

• keep track of all data generated or used during a research project
• easier transition for new staff or students beginning work on an ongoing project
• record of who has worked on a project for lab managers, PIs, or supervisors

The checklist has 5 parts:

✓ Data description: provides brief description about the project and its data.
✓ Data organization: describes the folder/file structure and naming strategy used in your project.
✓ Data documentation and metadata: provides information about what documentation was used and its location.
✓ Data storage: describes where the data are stored, how it can be accessed, and who has access.
✓ Data sharing and publication: details whether data were or will be shared for reusability or reproducibility.

▼ Download the full checklist from the University of Illinois.

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Content on this page has been adapted from The University of Illinois Research Data Service Data Nudge with permission under CC BY 4.0 US.

NIH launched a new Scientific Data Sharing website in preparation for the new NIH Data Management and Sharing Policy that goes into effect for applications due on or after January 25, 2023. Do you have questions about these or other data sharing requirements? Reach out out to the RDMSG consultants.

Effective February 9, 2022: Cornell University has updated its Research Data Retention policy, instated as University Policy 4.21, Research Data Retention. This policy outlines requirements for all Cornell-based researchers managing research data.  It has been updated from its previous iteration as “Interim Policy 4.20.”

Learn more about the updated policy. 

Reflecting on our successes of the past year, here are some of the RDMSG’s accomplishments by the numbers:

• We are a group of 23 consultants from 7 different affiliations across Cornell University.
• We responded to 111 requests for help or information via rdmsg-help@cornell.edu.
• We held a 2-day Day of Data event, which hosted 50 authors/speakers and included more than 83 faculty, staff and student attendees.
• We sent 9 data-focused newsletters.
• We held (at least!) 13 data-centered outreach events, workshops, or activities.
• We created or majorly updated 5 pages of website content: FAIR data, Storage and backup, Sharing and archiving, Curation services and an eCommons repository data submission checklist.