Research Data Management and Security
Victoria McCoy- Cosentino , Senior Director
The Office of Research Data Management and Security (RDMS) has a twofold mission. First, to help faculty and researchers ensure that all research conducted at NYU Washington Square utilizes appropriate safeguards for data generated or received by our researchers, and second, to provide leadership and strategic direction to the NYU community and its global campuses regarding the requirements and obligations of National Security Presidential Memorandum 33 (NSPM-33).
RDMS oversees all data use agreements for researchers at NYU Washington Square. RDMS also provides advice and guidance in building Data Management and Security Plans (DMSPs) that comply with sponsor guidelines, and works with OSP to annually evaluate DMSPs as required by NIH to ensure Plan compliance during the award period and progress towards the Plan’s activities. RDMS coordinates with NYU’s Office of Global Information Security (GOIS), Research IT, Libraries, TOV, the Office of General Counsel, and the Human Research Protection Program (HRPP) to help NYU researchers safely share, receive, and store data, protect against cybersecurity threats, mitigate the risk of intellectual property theft, and to manage NYU’s Research Security Program, while maintaining a supportive environment for intellectual engagement and collaboration across the globe.
NYU Policies and Guidance
Public Access and Open Access
Several federal agencies have public access initiatives or requirements. Check the links below for agency specific information:
NYU Commitment to Open Access to and Sharing of Research Data and Publications
New York University is committed to disseminating the results of its research and scholarship as widely as possible. In addition to the public benefit of such dissemination, this commitment serves faculty interests by promoting collaboration across the globe, greater reach and impact for articles, simplifying authors’ retention of distribution rights, and aiding preservation, and acknowledges of the ever-increasing number of agencies and foundations which require the outputs of the research they sponsor be shared openly. Therefore, where required, and if not required, to the extent practicable, NYU encourages its research community to:
Make available, as of the date of publication and without any embargo period, an electronic copy of any final, peer-reviewed manuscript upon acceptance for publication at no charge in an appropriate format (such as PDF). The manuscript shall be made available to the public in one of NYU’s open-access repositories (e.g., Faculty Digital Archive, Ultraviolet., etc.) or another open repository of choice or as required by the project sponsor, and should include all graphics and supplemental material associated with the manuscript.
Additionally it is the expectation of NYU, and in some cases the requirement of external sponsors, that the underlying data supporting the manuscript shall be immediately accessible and open upon article publication. NYU encourages its research community to adhere to the FAIR principles to improve the findability, accessibility, interoperability, and reuse of digital assets. Data shall be made available to the public in one of NYU's open-access repositories (e.g. Faculty Digital Archive, Ultraviolet, etc.) or another data repository of choice or as required by the project sponsor.
Finally, acknowledging that lack of publication does not necessarily mean that research findings are null or negative; NYU encourages its research community to similarly share research data not used to support a publication.
In all cases and in accordance with NYU’s commitment to the integrity and reproducibility of its research outputs, research data shared by the NYU community should be of sufficient quality to validate and replicate research findings.
The National Institutes of Health have adopted the following definition of research data as “the recorded factual material commonly accepted in the scientific community as necessary to validate and replicate research findings, regardless of whether the data are used to support scholarly publications.” Where in doubt, NYU encourages its research community to use a similar standard for determining what data should be shared.