ODSS is a trusted informational resource for NICHD staff and researchers on all NIH data sharing policies.
The new NIH DMS Policy applies to funding applications and proposals submitted to NIH on or after January 25, 2023. The following are helpful links about the new policy for the NICHD investigator community:
DASH is a centralized resource for researchers to store, share, and access de-identified data from studies funded or conducted by NICHD. It also serves as a portal for requesting biospecimens from selected studies within the hub.
E-updates from DASH, published quarterly, provide information on upcoming NICHD data-collection projects, studies available in DASH, including those with biospecimens, as well as other noteworthy data news.
DASH E-Updates
In collaboration with NICHD, NIH, and external stakeholders, ODSS is building a federated, secure research and specimen data ecosystem that will measurably and rapidly facilitate data and specimen sharing by NICHD-funded researchers and increase access to shared data and specimens for the entire research community.
The NICHD Data Ecosystem includes people, data, processes, and technologies that align with the NICHD Strategic Plan and that support NICHD communities’ data science and sharing needs. In addition, ODSS is collecting “user stories” to describe these needs, within the following contexts:
- NICHD investigators share their data and biospecimens to encourage reproducibility and broad reuse.
- The researcher community:
- Finds and uses NICHD data and specimens to enable new and innovative research
- Securely analyzes NICHD and other data using new tools, training resources, and powerful computing resources
- Participant communities visualize outcomes of taking part in NICHD research and benefit faster from new discoveries.
- NICHD:
- Tracks researcher compliance with NIH policies and good stewardship of government funds
- Assesses and visualizes the scientific return on investment in data and biospecimen sharing
- Promotes successful sharing strategies, policies, and tools to encourage broader use and reuse
The NICHD Ecosystem Use Case Library on GitHub tracks user stories, use cases, efforts, and associated documentation to improve capabilities across the ecosystem.
ODSS is currently assessing all data repositories that NICHD researchers use to share data or access shared data for secondary use. This assessment and the communities’ user stories will inform NICHD’s approach to improving sustainability and interoperability across the ecosystem to best support the institute’s needs. The office will also use information from the assessment to update the NICHD Data Repository Finder .
ODSS leads and collaborates on a variety of projects to maximize the responsible and innovative use of data across the NICHD Data Ecosystem. Reports and materials based on these projects will be posted in this section as they become available.
- Privacy Preserving Record Linkage (PPRL) for Pediatric COVID-19 Studies (PDF 4 MB)
Led by ODSS with funding from the NIH Office of Data Science Strategy
This report describes governance and technical approaches for PPRL based on an assessment of existing record linkage implementations. The assessment was designed to address pediatric COVID-19 use cases identified by NICHD and NIH researcher communities, given the federated nature of the NIH data ecosystem. The report led to the creation of the Record Linkage Implementation Checklist (PDF 238 KB), which guides users through governance and technical decisions that must be made prior to designing and implementing a record linkage strategy. - Digitizing Data Governance Metadata Towards Streamlining Patient- Centered Outcomes Research Data Linkages
Led by ODSS with funding from the HHS Office of Secretary Patient-Centered Outcomes Research Trust Fund with funding from the NIH Office of Data Science Strategy
The project strives to develop and test a generalizable, scalable, and machine-readable data governance metadata schema that simplifies decision-making for the responsible linkage of datasets for patient-centered outcomes research.