dkNET - sporedata/researchdesigneR GitHub Wiki

General description

The NIDDK Information Network (dkNET) functions as a comprehensive search portal specifically designed to assist researchers in locating and utilizing research resources pertinent to their work. It aims to foster robust and reproducible science by keeping researchers informed about new tools, services, and mandates.

dkNET is tailored to meet the requirements of both basic and clinical investigators and provides effortless access to extensive databases and research materials that align with the objectives of The National Institute of Diabetes, Digestive, and Kidney Diseases (NIDDK). dkNET is funded by the US National Institute of Diabetes and Digestive and Kidney Diseases and facilitates searches across various centers and services under NIDDK's umbrella. While dkNET is particularly aligned with NIDDK's mission, its tools and services are also accessible to the broader biomedical research community.

Related publications

• The Signaling Pathways Project, an integrated 'omics knowledgebase for mammalian cellular signaling pathways
• Foundry: a message-oriented, horizontally scalable ETL system for scientific data integration and enhancement
• Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines
• A data citation roadmap for scholarly data repositories
• Bio-AnswerFinder: a system to find answers to questions from biomedical texts
• A tool for assessing alignment of biomedical data repositories with open, FAIR, citation and trustworthy principles
• Antibody Watch: Text mining antibody specificity from the literature
• The Rigor and Transparency Index Quality Metric for Assessing Biological and Medical Science Methods
• The TRUST Principles for digital repositories
• A consensus-based and readable extension of Li near Co de for R eaction R ules (LiCoRR)
• The Rigor and Transparency Index Quality Metric for Assessing Biological and Medical Science Methods
• Consensus transcriptional regulatory networks of coronavirus-infected human cells
• Antibody Watch: Text Mining Antibody Specificity from the Literature
• No Dataset Left Behind: Mechanistic Insights into Thyroid Receptor Signaling Through Transcriptomic Consensome Meta-Analysis
• Identifiers for the 21st Century: How to Design, Provision, and Reuse Persistent Identifiers to Maximize Utility and Impact of Life Science Data

Data access

More information about dkNET can be found at https://dknet.org/

To access dkNET data, visit https://dknet.org/rin/suggested-data-repositories