Love Data Week 2024
New Research Data Platforms
Introducing NCI’s New Clinical and Translational Data Commons
The National Library of Medicine (NLM) is launching the Dataset Catalog Beta
NIH
2024 DataWorks! Prize Symposium Webinar June 25 11 am–3 pm ET
Office of Data Science Strategy Requests for Information to Solicit Public Comments on New Policies
NIH Data Sharing and Reuse Seminar Series
Virtual NIH Grants Conference February 1-2, 2023 (Session recordings and slides available)
Webinar: The “New” NIH Data Management & Sharing Policy: A Conversation, March 23
Tutorials
New Self-Guided Data Management Workshop from University of Illinois Urbana-Champaign
The White House Office of Science and Technology Policy (OSTP), through the Networking and Information Technology Research and Development (NITRD) Program and the Big Data Interagency Working Group (IWG), recently released the “Innovating the Data Ecosystem: An Update of The Federal Big Data Research and Development Strategic Plan.”
This plan outlines a new vision and strategies to address the evolving big data research and development needs as well as notable developments and substantial changes in technologies and data management over the past several years. Additionally, this update considers the ethical and workforce implications of big data capabilities, and incorporates insights from federal agencies, findings from a community workshop, and input from the public. This update is essential to ensuring that the United States remains equipped to tackle the most pressing challenges and to empower the nation to make informed decisions that directly impact every sector. Read the plan online.
NCI’s Cancer Research Data Commons (CRDC) is excited to unveil the new Clinical and Translational Data Commons (CTDC). Designed to enhance access to clinical and translational data from NCI-funded initiatives, the CTDC is a pivotal resource in accelerating cancer discovery.
Key features of the CTDC include:
The CTDC’s inaugural data set comes from the Cancer Moonshot℠ Biobank (CMB), a study collecting clinical data and biospecimens shared by participants throughout their standard of care treatments at participating US medical institutions.
Get Involved:
Join a live demonstration of CTDC’s capabilities in the September data science seminar series on September 25, 2024 11:00 am EDT.
Join the second annual DataWorks! Prize Symposium, cohosted by FASEB DataWorks! and NIH Office of Data Science Strategy. Learn about innovation and best practices in data sharing and reuse in biomedical research. This symposium will feature seven award-winning speakers from the 2023 DataWorks! Prize who will share their exemplary work in advancing human health through data sharing and reuse.
The symposium will consist of four sessions, each featuring presentations on various topics.
Sessions include:
Register Here.
The National Library of Medicine (NLM) is launching the Dataset Catalog beta to improve the discoverability and reuse of research data.
The Dataset Catalog is a new online tool to help users connect with multiple repositories through a single, user-friendly, “all-in-one” resource to search, find, and retrieve datasets. The beta version of the Dataset Catalog indexes datasets from a limited collection of repositories and features minimal functionality initially. NLM is seeking user feedback to inform future product development, establish a community of users, gather usage analytics, and assess scalability and sustainability of the corpus. During this beta phase, you are invited to explore this tool for yourself, share with colleagues and submit your feedback to NLM (via the vertical blue “Give Feedback” button along the right-hand side of the Dataset Catalog website). Join NLM's upcoming office hours to learn more! |
Love Data Week is an international celebration of data, taking place every year during the week of Valentine's day. Universities, nonprofit organizations, government agencies, corporations and individuals are encouraged to host and participate in data-related events and activities.
Love Data Week was established in 2016 as Love Your Data week. Originally created in the USA and coordinated by Heather Coates, it quickly grew to an international event in which a wide range of institutions, organizations, scholars, students, and other data lovers could celebrate their data.
The 2024 theme was "My Kind of Data." Data is personal. Review International Love Data Week 2024 events and materials to learn about data equity and inclusion, disciplinary communities, and creating a kinder world through data.
View the Creighton University Libraries for a Love Data Week Workshop on data sharing. We cover how to make your data FAIR (Findable, Accessible, Interoperable, and Reusable) to maximize its reuse value, as well as how to choose the best repository for your research data. Link: https://cdr.creighton.edu/handle/10504/149714
Love Data Week: Artificial Intelligence & Healthcare - An Overview for the Curious
AI is widely utilized in healthcare. This presentation provides a friendly introduction to the topic for librarians, health professionals, and anyone with an interest in the topic. Attendees will come away informed about the field’s history, conversant with definitions of important concepts, an understanding of how AI can become biased (and what that means for patients), and familiar with some of the many ways that AI is currently being used in healthcare.
The NIH seeks public input on its updated Strategic Plan for Data Science (2023-2028) through a 90-day Request for Information (RFI). The plan aims to leverage healthcare and research data for advancements in biology, clinical treatments, and diagnostics.
Stakeholders, including the scientific community and the public, are invited to provide feedback on goals, strategies, partnership opportunities, emerging research needs, and other relevant topics. The complete draft plan is available for review, and voluntary responses reflecting organizational or individual perspectives are encouraged.
Respond by March 15, 2024: Link HERE
NIH is soliciting input on best practices for openly sharing research software including source code, algorithms, scripts, computational workflows, and executables that were created during the research process or for a research purpose. This RFI will inform and frame the National Institutes of Health’s (NIH) guidance regarding development, refactoring, implementation, and sharing of NIH-supported research software.
Respond by Feb. 1, 2024: Link HERE
The interactive Prezi allows you to move through each of the topics in order, or to chart your own path by clicking on any topic that interests you. At any point, hover over the right margin to reveal the home button that will take you back to the main lifecycle page shown below.
Caldrone, S., & Phegley, L. (2022). Self-Guided Research Data Lifecycle Workshop [Prezi]. University of Illinois at Urbana Champaign. https://researchdataservice.illinois.edu/self-guided-workshop/
From the Memorial Sloan Kettering Cancer Center Library, but free and open to the public, this webinar is a great opportunity to learn more about the new NIH Data Management & Sharing Policy and its impact on grant applicants. Join for a conversation that will touch on policy expectations, insights in how to prepare a data management plan, and advice for sharing data responsibly and safely. A panel of MSK staff from various departments will be sharing their recent experiences with time for attendees to participate in an interactive Q&A discussion.
Read about the panelists and register here
About the Series
The National Institutes of Health (NIH) Office of Data Science Strategy hosts a seminar series to highlight exemplars of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center (IC) will also share its data science activities each month.
The seminar is open to the public and registration is required each month. Registration for upcoming sessions and past recordings are available HERE.
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