• Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Norway

dkNET 3.0 Beta Release

dkNET: Connecting Researchers to Resources

A web-based portal aggregating biomedical resource information that assists scientists to conduct more rigorous and reproducible research.


dkNET 3.0 Preview - 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.
    More Info...
  • Resource 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.
    More Info...
  • Rigor and Reproducibility Support
    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.
    More Info...
  • 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.
    More Info...
  • 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 to create a powerful new meta-analysis platform for FAIR 'omics data. It will allow users to model signaling events in metabolic organs and intersections between cellular signaling pathways and metabolic disease.
    More Info...

Discovery Portal

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?

  • Find resources and data relevant to your work
  • Find community resources that are highly relevant to the disease fields in NIDDK's mission using the Community Filter
  • Find literature of your interest and associated tools or resources used in the literature
  • Connect you to the broader biomedical community

  • Go to Discover portal

    Go to Discover portal - community resources

    Resource Reports - Powered by Resource Network

    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.

    What can dkNET help you?

  • Find whether the resources are reliable before you plan your experiments, such as is this cell line contaminated or problem? Who else used the resources? Are there rating or validation information?
  • Find Research Resource Identifiers (RRIDs) and proper citation of your resources
  • Register resource to obtain RRIDs if the resources do not exist in the system

  • What's in Resource Reports?


    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)

    Rigor and Reproducibility Support

    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 reproducibility 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?

  • Generate authentication plan for your resources
  • Learn how to comply with NIH's policy on Rigor and Reproducibility
  • Make your data FAIR (Findable, Accessible, Interoperable, and Reusable)
  • Find data repositories

  • NIH policy on Rigor and Reproducibility

    Hypothesis Center - Signaling Pathways Project (Coming Soon)

    We're hard at work on a powerful new FAIR 'omics platform for NIDDK-supported researchers. dkNET has partnered with the Signaling Pathways Project 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.

    What can dkNET help you?

  • Model signaling events in metabolic organs using FAIR 'omics data and generate hypothesis

  • 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.





    About dkNET

    dkNET.org is an information portal created to provide information to connect the NIDDK community of researchers with scientific resources. The portal provides access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Disease (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 5U24DK097771-05.

    X

    Are you sure you want to delete that component?