# dkNET Coordinating Unit: An information network for FAIR resources and data

> **NIH NIH U24** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2022 · $980,811

## Abstract

Project Summary
We outline plans for the next generation NIDDK Information Network (dkNET), a centralized portal for
discovery and information about research resources-data, reagents, organisms, tools available to researchers
through NIDDK-supported centers and other relevant projects. In this phase, we will continue to support and
maintain aggregated data from biomedical databases. But since the launch of dkNET in 2012, the data and
resource landscape has changed, there are new concerns about rigor and reproducibility, and we are seeing
data mandates and increased demand for data and data services. We will therefore capitalize upon our
considerable success in developing and deploying Research Resource Identifiers (RRIDs), a system for
identifying, tracking and aggregating data about research resources in the literature currently used in over 350
journals. RRIDs are unique identifiers assigned to individual research resources and form the basis of a
citation and tracking system for use within the scientific literature. Through RRIDs, we will further develop our
Resource Information Network, including analytics tools, to help researchers not only to identify appropriate
resources, but to provide them with up to date information about the use and performance of these resources.
We will also develop services in support of NIH's new rigor and reproducibility guidelines to help researchers
develop plans to identify and validate research resources and help support centers in tracking use of their
products. In response to user feedback and new NIH mandates and recommendations for data management
and sharing, we will also add new services and tools in support of data science. During this past phase, the
PI's helped develop the FAIR principles, recommendations for making data Findable, Accessible, Interoperable
and Reusable. Major data initiatives in both the US and Europe are now supporting FAIR. Full implementation
of FAIR requires that the community have a way to develop and disseminate best practices and standards for
metadata, data formats, etc. NIDDK is uniquely poised to help coordinate and accelerate this process for
NIDDK supported researchers. We believe to gain support for proper data management and data publishing, it
is important not just to provide help in compliance, but to provide tools and services for integrating and
analyzing FAIR data to address critical questions. In conjunction with the Signaling Pathways Project (SPP,
formerly the Nuclear Receptor Signaling Atlas, or NURSA), we will develop a new meta-analysis platform for
FAIR `omics data. Through the application of biocuration and consensomic analysis of NIDDK-funded and
relevant `omics data assets, dkNET users will have access to a user-friendly but powerful platform for modeling
signaling events in metabolic organs and intersections between cellular signaling pathways and metabolic
disease. These capabilities will be accompanied by an aggressive and extensive outreach and dissem...

## Key facts

- **NIH application ID:** 10480765
- **Project number:** 5U24DK097771-10
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO
- **Principal Investigator:** Jeffrey S. Grethe
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $980,811
- **Award type:** 5
- **Project period:** 2012-12-01 → 2024-02-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10480765

## Citation

> US National Institutes of Health, RePORTER application 10480765, dkNET Coordinating Unit: An information network for FAIR resources and data (5U24DK097771-10). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10480765. Licensed CC0.

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