About dkCOIN
Background
Modern biomedical science now involves the accrual of data in many forms. Discovery-based investigation has fostered a need both for new computational tools to analyze the data and informatics approaches to store and mine it. Starting with large community-based ‘omics efforts such as the human genome project it became possible to develop and accrue genomics, proteomics, metabolomics, and other 'omics data from model organism, murine and human sources. Phenotyping studies from new animal models and human diseases have added large amounts of data, as well. NIDDK has been involved from the earliest days, initiating discovery-based projects in diabetes, stem cells, metabolism, and tissue development designed to accrue large amounts of data for use by investigators at all levels. With this wealth of data has come the need to maintain and o ffer it to broad communities of potential users in ways that foster obtaining maximum value to catalyze new hypothesis-generation and testing, in turn, leading to paradigm-shifting advances in knowledge. The ultimate objective has been to stimulate new applications of often multi-disciplinary data to inform the mission of NIDDK, leading to translation of basic data to greater applications in the clinic.
Mission Statement
We envision dkCOIN, the NIDDK Consortium Interconnectivity Network, serving the needs of basic and clinical investigators by providing seamless access to large pools of data relevant to the mission of NIDDK. The goal of dkCOIN is to develop a community-based network for integration across disciplines to include the larger DK universe of diseases, investigators, and potential users. The focus will be on providing both data and tools for access and mining in a user friendly online environment to foster greater use of this data with the objective of adding value by breaking down barriers between sites to facilitate linking of different datasets.The purpose is to inform ongoing work in laboratories and clinics as investigators seek to understand underlying mechanisms of disease and develop potential approaches to treatment. dkCOIN should be easily adaptable, extensible and evolvable and should be able to serve as a framework for building out to include new data sources and formats. In addition, by providing a home for relevant datasets these important resources will not be lost should the original site(s) become unavailable. dkCOIN seeks to interconnect basic science consortia as a first step in moving toward development of a more comprehensive and broadly applicable dk-specific biomedical informatics resource.
Participants
You can view the current dkCOIN participating consortiums here. If you wish to participate in submitting resources to dkCOIN, please contact us. If you wish to add dkCOIN searches to your application, please consult the documentation.
Logo
The dkCOIN logo is available below at varying resolutions. We recommend you use high-resolution logos for posters. All are saved as PNG (Portable Network Graphics) format, which can be opened on any platform. The files include a transparent background, so they can be laid on top of other colored backgrounds as is needed. Our recommendation is for a white background.
Native resolution
High resolution for articles, posters and such.
5954px x 2462px - 19.85" x 8.2" at 300dpi
Web resolution
Low resolution for using on the web.
363px x 150px - 5.0" x 2.1" at 70dpi
People
DCC/MMPC Team
- Mike Aufiero
- Richard McIndoe

BCBC Team
- Gregory Baboolal
- Jean-Philippe Cartailler

- Chris Howard
- Mark Magnuson

NURSA Team
- Lauren Becnel

- Jeremy Easton-Marks
- Neil McKenna

- David Steffen

T1DBase Team
- Oliver Burren

- Mikkel Christensen
NIDDK Team
- Kristin Abraham

- Olivier Blondel

- Art Castle

- Deborah Hoshizaki
- Chris Ketchum
- Ron Margolis


