News & Events

Tag: NIH data

Vivli CEO Rebecca Li to speak at the NIDDK Central Repository 20th Anniversary Workshop

Vivli’s CEO, Rebecca Li, will speak at the NIDDK Central Repository 20th Anniversary Workshop: Promoting Secondary Research to Accelerate Medical Breakthroughs and Innovation. This online event, hosted by the National Institute of Diabetes and Digestive and Kidney Diseases, will take place on September 19-20, 2023.

Li will participate as a panelist in a discussion session on ‘Supporting NIDDK-Funded Research and Expanding NIDDK’s Data Ecosystem’. This session will focus on real-world examples in which NIDDK-funded research is strengthening the data ecosystem and accelerating medical breakthroughs through secondary research, and is scheduled to run on Wednesday, September 20. NIDDK has been making data available to researchers in the Vivli repository since 2022.

The 20th Anniversary Workshop will review the NIDDK Central Repository program from its early beginnings to its current state, and engage a diverse range of experts from the research community to share experiences and explore future possibilities. Registration is open until Tuesday, September 19 – find out more and register on the event website. 

President Announces Intent to Nominate former Vivli External Advisory Committee member as Director of the National Institutes of Health

Vivli enthusiastically congratulates Dr. Monica Bertagnolli on the White House announcement that it intends to nominate her as Director of the National Institutes of Health.

Dr. Bertagnolli has served as a long-time member on the Vivli External Advisory Committee.

“We are glad to see the intent to nominate Dr. Monica Bertagnolli to such an impactful role and we wish her all the best,” said Rebecca Li, Executive Director.

President Biden Announces Intent to Nominate Dr. Monica Bertagnolli as Director of the National Institutes of Health

 

 NIH’s New Data Sharing Policy: Maximizing the Value of Research through Data Re-use and Data Access on the Vivli Repository

Learn how the Vivli repository is making it easier for scientists to share and access data, and how you can comply with the NIH’s data management and sharing policy (DMSP) to maximize the value of your research

The National Institutes of Health (NIH) has a policy in place to ensure that data generated by NIH-funded research is accessible to the scientific community starting on January 25, 2023.

Data should be made available as soon as possible or the acceptance for publication of the main findings from the final dataset but the latest date is the end of the award. Data sharing can be done through a variety of mechanisms, including NIH domain repositories or NIH generalist repositories. These can be open-access or controlled-access systems. One such controlled-access repository recognized by the NIH is Vivli, a generalist repository for sharing of clinical data for human research studies.

As a condition of their grant application, investigators are now required to prospectively plan for management of their data and preparing it for re-use, submit a data management and sharing plan (DMSP), and comply with the drafted plan. The NIH Data Sharing Policy (DSMP) encourages investigators to share their data in order to maximize the value of NIH research funds.  But what exactly is a DMSP and how do you draft one for submission to the Vivli Repository? The DMSP is a set of principles and guidelines that outline the requirements for sharing data generated by NIH-funded research. It includes 6 major elements that were selected to ensure that the data is shared as widely and promptly as possible, to maximize the scientific and public health value of the research, while protecting participant privacy and confidentiality. To fill out the DMSP, decisions should be made about the choice of repository, how long the repository will hold/archive the data, whether special tools/software will be provided to access the data, whether consensus data standards apply or exist, whether controlled access will be required and the oversight management details.

To help investigators on their journey to fulfilling the NIH data sharing policy, we have created a list of all the other resources available on our website, including the DMSP template guidance and budget guidance specific to using Vivli to help you navigate the process. Vivli has a step-by-step guide to understanding each of these elements and items to consider when developing a DMSP. We also have a customizable DMSP exemplary language available for download and adaptation, which includes sample text as well as guidance on preparing and submitting a budget as part of the DMSP.

Fill out the form below to access all the DMPS Guidance provided by Vivli.

Vivli has recently released new features timed to the NIH policy launch including: branded portals for research programs / institutions; academic credit; streamlined process for data sharing and reporting for institutions.

In summary, the NIH encourages data sharing as part of its mission to advance biomedical research and to promote collaboration among scientists. Vivli is a non-profit organization that provides a platform recognized by the NIH for funded researchers to share and access anonymized clinical trial data in a secure and compliant way.

    What best describes your current role?

    Do you plan to include Vivli in any future data management plans?

     

    Share NIH-Funded Data

    Guidance for researchers on preparing a DMSP and sharing NIH-funded data

    The NIH has updated its policies on data management and sharing (DMS). Effective January 25, 2023, the NIH DMS policy applies to most research funding by the NIH, and requires all applicants planning to generate scientific data to prepare a DMS Plan (DMSP) that describes how they will manage and share data. An effective DMSP requires thoughtful planning, preparation, and execution. We’ve compiled information and resources here to support every step of the process.

    How to prepare a DMSP

    The DMSP is a set of principles and guidelines that outline requirements for sharing data generated by NIH-funded research. It includes six major elements:

    1. A description of the data type
    2. Related tools, software, and/or code
    3. Common data standard that will be applied to the data
    4. Information about data preservation, access, and associated timelines
    5. Factors affecting access, distribution, or reuse of data
    6. Overview of how compliance with plans for management and sharing will be managed

    The DMSP should also include information about direct costs required to support the activities outlined in the Plan.

    Vivli has a step-by-step guide to understanding each of these elements and items to consider when developing a DMSP. We also have a customizable DMSP exemplary language available for download and adaptation, which includes sample text as well as guidance on preparing and submitting a budget as part of the DMSP.

    Fill out the form below to access all the DMSP Guidance provided by Vivli.

      What best describes your current role?

      Do you plan to include Vivli in any future data management plans?

      How to choose the right repository to share your data

      To enable the implementation of the updated DMS policy, NIH has supported the establishment of the Generalist Repository Ecosystem Initiative (GREI). GREI is a collaboration of seven established generalist repositories who are working together to develop consistent standards and processes to facilitate sharing and reuse of data from NIH-funded studies. As part of preparing a DMSP, researchers will have the opportunity to review repository options and choose the one that best aligns with their needs. Vivli is part of the GREI initiative. The Vivli platform is the only GREI repository that focuses on sharing completed clinical research data at the individual participant level. To assist in considering these options, NIH has prepared guidance on selecting a data repository.

      Once your grant is approved – what next?

      How to submit studies to Vivli for data sharing

      If you’ve decided that Vivli is the right repository for your study data, great! We’ve developed a straightforward and efficient submission process, and we’ve got detailed guidance on how to submit your data and a checklist when you’re ready to begin the process to share your data.

      ResourceDescription
      Vivli Study Submission GuideHow to submit studies for sharing via the Vivli platformDownload PDF
      Study Submission ChecklistA checklist of all information needed for the submission of a studyDownload

      Further questions?

      Email Vivli at support@vivli.org and we will be delighted to assist you.

       

      Submitting Your NIH Data Management and Sharing Plan using Vivli

      The NIH Data Management and Sharing (DMS) policy went into effect in January 2023 to promote the sharing of scientific data.

      Please watch Vivli’s recent webinar and find out more about how Vivli can help you navigate the NIH Data Management and Sharing policy. Hear from academic staff on their experiences in supporting researchers with their Data Management and Sharing Plans (DMSP).

      During this webinar, we:

      • Provide an overview of Vivli, including what types of data should be shared in Vivli
      • Discuss the benefits of using Vivli to meet the data sharing requirements of your NIH grant
      • Review the steps to completing the NIH DMSP and budget justification
      • Hear views from academic staff on their experiences supporting researchers to complete the new NIH DMSP

      Speakers include:

      • Anne Seymour, Johns Hopkins University
      • Amy Nurnberger, Massachusetts Institute of Technology
      • John Borghi, Stanford University
      • Rebecca Li and Julie Wood, Vivli

      Participants had the opportunity to ask questions. This webinar is most useful for current or prospective NIH grantees or those who support them.

      View Recording

      Projects at Vivli

      Vivli works with many partners and funders to further its vision to advance human health through clinical research data sharing, to respect and honor the contributions of clinical research participants.