dkNET 3.0 Beta is released to the public!

Announcing the dkNET 3.0 Beta!

We are pleased to announce the release of the dkNET 3.0 Beta to the public! New features includes Resource Report, Discovery Portal, and Rigor & Reproducibility Support. We have also collaborated with Dr. Neil Mckenna, P.I. of Signal Pathways Project (SPP) at Baylor College of Medicine, and developed a new Hypothesis Center platform to expand our services to assist researchers to analyze omics data and comply with FAIR principles.

What's new at dkNET 3.0 Beta?

A. Redesigned Discovery Portal
The new dkNET Discovery Portal connects you 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 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

*For return users, if you want to search resources through dkNET community resources, go to Discovery Portal and turn on COMMUNITY FILTER. If you want to search Literature, click Literature at dkNET homepage under Discovery Portal section.

Go to Discover portal

Go to Discover portal - community resources

B. Resource Report - Powered by 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. Our Resource Network is 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.

How 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?

Go to Resource Reports

C. 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.

How can dkNET help you?

• Learn how to comply with NIH's policy on Rigor and Reproducibility

• Generate authentication plan for your resources

Learn about IH policy on Rigor and Reproducibility

Go to Rigor & Reproducibility Support

D. Hypothesis Center - FAIR ‘OMICS Platform Powered by Signaling Pathways Project

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.

How can dkNET help you?

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

Go to Hypothesis Center

Try it now! We would like you to take a look and let us know what you think about our new site. Your current account will still work and any saved information should transfer to dkNET 3.0 Beta site. Our old site will still be available for a limited time. If you have any questions, please do not hesitate to contact us via help desk or email to info@dknet.org.

Regards,

dkNET team