Browsing by Subject "DMP"

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    Copy and Pasting vs. Customization: Using Qualitative Analysis of NIH Grantees’ Data Management Plans to Shape Future DMP Support
    (2022-03-17) Dolan, Levi; Whipple, Elizabeth C.; Coates, Heather L.
    In 2019, our school began requiring all of its NIH grantees to submit data management plans designed to prepare researchers for future requirements, such as the NIH Final Policy on Data Management and Sharing. In 2020-2021, the second year of this mandate, we achieved near 100% compliance with 600+ project-level DMP submitted. This presentation discusses analyzing the free text responses for the 2020-2021 set of DMPs. These responses describe practices related to data collection procedures, QA/QC procedures, data retention periods, data sharing, and access permissions when team members leave. Additionally, we asked respondents to identify relevant funder data management or sharing requirements, citations for data reuse, and applicable standards for data and metadata so that we could gauge awareness of these topics. Our analytical process involves iteratively creating a codebook based on a randomly selected subset of DMP responses. Once the codebook has been developed, we will independently code a second subset of DMP responses to establish inter-rater reliability, then code the entire data set of DMP responses. We will summarize these results using descriptive statistics and visualizations of the themes identified. We will also explain how we plan to use these findings to create guidance for future support and development of DMPs for NIH grantees. Of particular interest will be any evidence for substantive customization of DMPs when the research warrants the sharing of data, versus evidence of “box ticking” behaviors and other priorities that take precedence over sharing. By identifying existing practices, this analysis may also help us surface successful data management and sharing strategies that can be propagated across communities of practice.
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    Navigating Institutional Research Information Management Priorities: Rolling out of an Institutional Data Management Plan (DMP) Requirement
    (2021-05-25) Whipple, Elizabeth C.; Rios, Gabriel R.
    BACKGROUND: Our School of Medicine’s Research Administration identified several priorities related to Information Management, with one of them being the implementation of required Data Management Plans (DMPs). The impetus for the requirement was risk mitigation and preparation for a forthcoming NIH requirement. Our role has been to lead the process for the entire medical school including the communication, progress, and guidance. We completed the first round of DMP collection prior to the release of the NIH Policy on Data Sharing and Management. We will share our outcomes and how the NIH policy informed the development of our new DMP collection tool. DESCRIPTION: Working with an Advisory Board, we designed a PI-based DMP collection tool vs. an award/project-based DMP. The library took the lead developing the DMP questions, tracking for compliance, creating FAQs, designing the communications to PIs and directing outreach to PIs in departments to move the initiative forward. The rollout of the DMP initiative started in mid-2019, with the deadline for DMP completion initially slated for March 2020. In mid-2020, we started planning for the second iteration of the Qualtrics DMP form. Using a university-developed tool, we worked with the university technology development team to identify possible APIs to improve the form and reached out to faculty and staff stakeholders. This second iteration will be rolled out late 2020. CONCLUSION: The new iteration of the DMP will speed up the time it takes to complete a DMP, better integrate into departmental annual reviews as a metric, and prepare our PIs to meet the new NIH Policy on Data Sharing and Management. The library’s leadership continues to showcase our value to our institution and move strategic priorities forward for our School of Medicine.