About dkNET  

Welcome to dkNET!

dkNET is a search portal that helps researchers find research resources relevant to their research and keep up to date on new tools, services and mandates to support robust and reproducible science. Research resources include reagents, organisms, software tools, databases and services. dkNET is a major supporter of the Research Resource Identifier (RRID) project to ensure that such resources are properly identified in the biomedical literature.  We have assembled a large, integrated data set based on the RRID that allows us to aggregate data about these resources, including how they perform and who else is using them. dkNET is funded by the US National Institute of Diabetes and Digestive and Kidney Diseases and allows researchers to search across the many centers and services funded by NIDDK, but dkNET's tools and services can be used by researchers across biomedicine.

dkNET also is an information hub for the DK community, providing regular updates, webinars and new tools and services to support your research, including funding opportunities available, and to help researchers navigate and comply with new regulations and mandates on resource authentication and data sharing.  Follow us on Twitter @dkNET_info or sign up for our newsletter to make sure you keep up to date with the ever changing resource landscape.

We've recently undergone a major upgrade with the launch of dkNET 3.0.  Continue reading to find out about our new features.

dkNET 3.0 - What's new?

We've been listening carefully to our users and our community. Now, with dkNET 3.0, we're updating and expanding our services.

• Redesigned Discovery Portal
  The new dkNET Discovery Portal connects you directly to more than 300 biomedical databases and millions of resources. Researchers can also explore community resources that are highly relevant to the disease fields in NIDDK's mission. Guided by user feedback, we've created a more intuitive search interface. Now you can quickly locate the information and data you need.
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• Resource Information Network
  We're proud of our success in developing and using Research Resource Identifiers (RRIDs). Now we've capitalized on this expertise to create a new kind of data set and analytics platform. The Resource Network uses RRIDs, text mining and data aggregation to help you locate key resources and compare their performance.
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• Authentication Reports
  Researchers face a tough challenge in meeting new rigor and reproducibility guidelines from the NIH and mandates regarding data management and data sharing. We're offering expanded services to make it easier to identify and validate research resources.
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• Support for FAIR data
  There's a growing push in the US and Europe supporting the FAIR principles to make data findable, accessible, interoperable and reusable. dkNET is uniquely poised to accelerate this process. We're working to promote best practices and standards for metadata and data formats. And we're adding new data services and tools to help researchers meet FAIR mandates.
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• Hypothesis Center - FAIR ‘OMICS Platform
  To usher in the era of FAIR data management, it's crucial to provide tools for compliance. But it's equally important to make the case for how FAIR benefits researchers and elevates their work. We're joining with the Signaling Pathways Project, Mouse Metabolic Phenotyping Centers, and more publicly available online resources to create a powerful new meta-analysis platform for FAIR 'omics data. It will allow users to model signaling events in metabolic organs and identify potential intersections between cellular signaling pathways and metabolic disease, and analyze and explore diverse data to generate or test research hypotheses.
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• Newest Feature - Biomed Resource Watch (Released in June 2023) New
  We are delighted to introduce Biomed Resource Watch (BRW, https://scicrunch.org/ResourceWatch), a knowledge base for the aggregation and dissemination of known problems and performance information about a research resource. By promoting transparency and embracing the FAIR principles (Findable, Accessible, Interoperable, Reusable), BRW empowers researchers to access and contribute crucial insights regarding antibodies, cell lines, tools, model organisms, and more, and elevates scientific rigor and reproducibility. We are currently integrating BRW and Resource Reports, providing researchers direct access to BRW from Resource Reports.
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We've redesigned our Discovery Portal!  The new dkNET Discovery Portal connects researchers directly to more than 300 biomedical databases and millions of resources. We have incorporated user feedback to create a more intuitive search interface that unifies the search across community resources of special relevance to NIDDK researchers, additional biomedical databases and the biomedical literature. Now you can quickly locate the exact information and data you need.

How can dkNET help you?

Go to Discover portal

Go to Discover portal - community resources

Our Resource Network is a streamlined search tool based on a completely new approach. It's the only integrated data set and analytics platform combining Research Resource Identifiers (RRIDs), text mining and data aggregation. Users can identify key resources while also tracking resource use and performance. The network offers a detailed overview of each resource along with citation metrics from the biomedical literature and even information about what resources have been used together. You'll gain insights about who is using particular resources and how the community views those resources. In addition, we also provide access to protocols to allow you to find research resources used in the protocols.

What can dkNET help you with?

What's in Resource Reports?

Newest Feature: Submit Information to Biomed Resource Watch (BRW) via Resource Reports New

Biomed Resource Watch (BRW, https://scicrunch.org/ResourceWatch), released in June 2023, serves as a knowledge base for aggregating and disseminating known problems and performance information about research resources such as antibodies, cell lines, tools, model organisms, and more. We have integrated Resource Reports and BRW. Researchers can submit information about a specific resource and/or check information about a resource before planning their experiments via Biomed Resource Watch knowledge base-enhanced Resource Reports under the Rating and Alerts section.

What is Biomed Resource Watch?

Browse Biomed Resource Watch

Search for RRIDs

Check out an example with ImageJ (RRID:SCR_003070)

Check out an example with beta-Actin (8H10D10) Mouse mAb antibody (RRID:AB_2242334)

Today's biomedical researchers face the challenge of complying with new NIH mandates for rigor and reproducibility, and managing and sharing research data. These latter requirements are part of a larger movement to ensure that data is FAIR – findable, accessible, interoperable and reusable. dkNET is expanding its support for reproducibility with new tools and services. Our goal is to empower NIDDK-supported researchers to authenticate resources and share data in compliance with FAIR principles. One new tool makes it easy to generate a resource authentication report when submitting a proposal or publication. In an upcoming release, we'll be providing guidance and resources for generating data management plans and understanding what FAIR means to you.

What can dkNET help you?

NIH policy on Rigor and Reproducibility

Learn about Research Data Management (dkNET, NIH and NIDDK resources)

Find data repositories for your data

We're hard at work on a powerful new FAIR 'omics platform for NIDDK-supported researchers. dkNET has partnered with the Signaling Pathways Project, Mouse Metabolic Phenotyping Centers, and more publicly available online resources to create a hub for big data and hypothesis generation that will allow researchers to extract information across different datasets. Users will be able to use biocuration and consensomic analysis of 'omics data to model signaling events in metabolic organs and intersections between cellular signaling pathways and metabolic disease. Through detailed tutorials and by integrating different resources, the power of the dkNET Hypothesis Center can help answer questions of immediate relevance to your research.

What can dkNET help you?

Launch Hypothesis Center, find a suggested tool based on the information that you are looking for and a representative example

SPP tutorial to help you find evidence for signaling nodes that regulate a biological process of interest based on the hypothesis generation example “Transcriptomic evidence for regulation of human cell cycle genes by FGF receptor signaling”

Learn how Signaling Pathways Project analysis generates hypotheses around host responses to SARS-CoV-2 infection in COVID-19

Learn how researchers study metabolic rate and response to obesity analyzing MMPC energy expenditure data

Find bioinformatics core facilities

Ochsner S et al. The Signaling Pathways Project: an integrated 'omics knowledgebase for mammalian cellular signaling pathways. Sci Data. 2019 Oct 31; 6(1):252. doi: 10.1038/s41597-019-0193-4.

Becnel LB. Discovering relationships between nuclear receptor signaling pathways, genes, and tissues in Transcriptomine. Sci Signal. 2017 Apr 25;10(476). pii: eaah6275. doi: 10.1126/scisignal.aah6275.

Darlington TF et al. Improving the discoverability, accessibility, and citability of omics datasets: a case report. J Am Med Inform Assoc. 2017 Mar 1;24(2):388-393. doi: 10.1093/jamia/ocw096.