Funding agencies, higher education institutions, and publishers may ask you to create a data management and sharing plan to include in your research proposal. This reflects the growing importance of data and often also the shift towards open science. Here, we’ll outline what a data management p...
Under this policy, all NIH grant applications that collect data will be required to submit a data management and sharing plan (DMSP) with their application. Failure to comply with the DMP can result in a review and possible withdrawal of funding. “Researchers planning to generate scientific da...
The revised NIH Data Management and Sharing (DMS) Policy took effect in January 2023, requiring all researchers applying for NIH funding to develop a detailed DMS plan as part of the application. In turn, NIH became responsible for reviewing and approving the submitted plan before issuing an ...
NIH:Examples of Data-Sharing Plans NSF, Biology Directorate, Plant Genome Research Program (PGRP):Examples of three data management plans(pdf) from funded grants by Stanford Professor Virginia Walbot, including additional information and guidance. NSF:Example Data Management Plansfor several different N...
Sharing data, retrospectively, generally requires much time and resources, but when a data management plan is part of a research proposal from the start, costs are limited, and grant makers allow these costs to be part of a budget. There are many organizations that offer information on or ...
NIH expects that expanded data sharing will benefit not only biomedical researchers, but also policymakers and the public. Ultimately, the organization anticipates that its Plan for Data Science will foster breakthroughs in research to improve health outcomes. ...
A data management plan (DMP) is a document which defines how data is handled throughout the lifecycle of a project—from acquisition to archival.
Funder data sharing policies As well as journals, funders (NIH, STFC, NERC, Wellcome Trust, et al.) are also starting to implement mandatory data sharing policies[1], with applicants being asked to disclose theirdata management plans(with obvious implications if they have no such plan [or a...
Large-scale data generation and analysis projects can benefit from an organized and centralized data-management activity2,3,4. The goals of such activities are to provide necessary support and infrastructure to the project while ensuring that data are made available as rapidly and widely as possible...
Building a quality-driven care culture based on empathy, data, and a shared mission For the past 15 years, NYU Langone has followed a vision to transform itself “from a distributed and ad-hoc management and decision-making organization” to one that is “centralized, pla...