Form Submission: Session, Poster, Demo Submission

Demo/Poster Number

Tilikum
89

Contact Information
First Name: 
Jeffrey
Last Name: 
Grethe
Session Information
Presentation Title: 
SciCrunch: A cooperative and collaborative data and resource discovery portal for scientific communities
Description: 
SciCrunch was designed to allow communities of researchers to create focused portals that provide access to resources, databases and tools of relevance to their research areas. SciCrunch is one of the largest aggregations of scientific data, resources and tools available on the Web. One can think of SciCrunch as a “PubMed” for tools and data. Just as you can search across all the biomedical literature through PubMed, regardless of journal, SciCrunch lets you search across hundreds of databases and millions of data records from a single interface. SciCrunch was designed to break down the traditional types of portal silos created by different communities, so that communities can take advantage of work done by others and share their expertise as well. When a community brings in a data source, it becomes available to other communities, thus ensuring that valuable resources are shared by other communities who might need them. At the same time, individual communities can customize the way that these resources are presented to their constituents, to ensure that their user base is served. SciCrunch currently supports a diverse collection of communities, each with their own data needs: Neuroscience Information Framework (NIF) – is a biological search engine that allows students, educators, and researchers to navigate data resources relevant to neuroscience; NIDDK Information Network (dkNET) – serves the needs of basic and clinical investigators by providing seamless access to large pools of data relevant to the mission of The National Institute of Diabetes, Digestive and Kidney Disease (NIDDK); Research Identification Initiative (RII) – aims to promote research resource identification, discovery, and reuse; The Drug Design Data Resource (D3R) aims to advance the technology of computer-aided drug discovery through the interchange of high quality protein-ligand datasets and workflows, and by holding community-wide, blinded prediction challenges.
Presenter Information
Same As Contact: 
Yes
Organization/Affiliation: 
University of California San Diego
ORCID ID: 
0000-0001-5212-7052
Contributors
First Name: 
Maryann
Last Name: 
Martone
Organization/Affiliation: 
University of California San Diego
Project Role: 
Principal Investigator
First Name: 
Jeffrey
Last Name: 
Grethe
Organization/Affiliation: 
University of California San Diego
Project Role: 
Principal Investigator
First Name: 
Anita
Last Name: 
Bandrowski
Organization/Affiliation: 
University of California San Diego
Project Role: 
Project Lead
First Name: 
Davis
Last Name: 
Banks
Organization/Affiliation: 
University of California San Diego
Project Role: 
Developer
First Name: 
Michael
Last Name: 
Chiu
Organization/Affiliation: 
University of California San Diego
Project Role: 
Developer
First Name: 
Tom
Last Name: 
Gillespie
Organization/Affiliation: 
University of California San Diego
Project Role: 
Ontologist
First Name: 
James
Last Name: 
Go
Organization/Affiliation: 
University of California San Diego
Project Role: 
Developer
First Name: 
Yueling
Last Name: 
Li
Organization/Affiliation: 
University of California San Diego
Project Role: 
curator
First Name: 
Larry
Last Name: 
Lui
Organization/Affiliation: 
University of California San Diego
Project Role: 
Developer
First Name: 
Ibrahim
Last Name: 
Ozyurt
Organization/Affiliation: 
University of California San Diego
Project Role: 
Developer