Tools   Select Another Resource Report Type

https://scicrunch.org/

Community portal for researchers and content management system for data and databases. Intended to provide common source of data to research community and data about Research Resource Identifiers (RRIDs), which can be used in scientific publications. Central service where RRIDs can be searched and created. Designed to help communities of researchers create their own portals to provide access to resources, databases and tools of relevance to their research areas. Adds value to existing scientific resources by increasing their discoverability, accessibility, visibility, utility and interoperability, regardless of their current design or capabilities and without need for extensive redesign of their components or information models. Resources can be searched and discovered at multiple levels of integration, from superficial discovery based on limited description of resource at SciCrunch Registry, to deep content query at SciCrunch Data Federation.

Proper citation: SciCrunch (RRID:SCR_003115) Copy   

•   Source: SciCrunch Registry
  

http://dknet.org/

The NIDDK Information Network (dkNET) is a community-based network to serve needs of basic and clinical investigators that includes large pools of data and research resources relevant to mission of National Institute of Diabetes and Digestive and Kidney Disease.

Proper citation: NIDDK Information Network (dkNET) (RRID:SCR_001606) Copy   

•   Source: SciCrunch Registry
  

https://scicrunch.org/sawg

Group of anatomical experts tasked with enhancing structured vocabularies around nerve to organ connections. Responsible for integrity of anatomical knowledge in SPARC. Provides relevant guidance and expertise about defining and naming anatomical terms, maintaining ontologies and anatomical knowledge, compliling and curating computable knowledge about multiscale route pathways. Provides access to data generated by SAWG which includes links to documentation about vocabulary services, term request and connectivity. Page will be continuously updated.

Proper citation: SPARC Anatomy Working Group (RRID:SCR_018709) Copy   

•   Source: SciCrunch Registry
  

http://interlex.org

The InterLex project - a core component of SciCrunch and supported by projects such as the Neuroscience Information Framework project (NIF), the NIDDK Information Network (dkNET), and the Open Data Commons for Spinal Cord Injury - is a dynamic lexicon of biomedical terms. Unlike an encyclopedia, a lexicon provides the meaning of a term, and not all there is to know about it. InterLex is being constructed to help improve the way that biomedical scientists communicate about their data, so that information systems like NIF and dkNET can find data more easily and provide more powerful means of integrating that data across distributed resources. One of the big roadblocks to data integration in the biomedical sciences is the inconsistent use of terminology in databases and other resources such as the literature. When we use the same terms to mean different things, we cannot easily ask questions that span across multiple resources. For example, if three databases have information about what genes are expressed in cortex, but they all use different definitions of cerebral cortex, then it is hard to compare them. InterLex allows for the association of data values (i.e. the value of a field or text within a field) to terminologies enabling the crowdsourcing of data-terminology mappings. InterLex was built on the foundation of NeuroLex (see Larson and Martone 2013 Neurolex: An online framework for neuroscience knowledge. Frontiers in Neuroinformatics, 7:18) and contains all of the existing NeuroLex terms. The initial entries in NeuroLex were built from the NIFSTD ontologies. NIFSTD currently has about 60,000 concepts (includes both classes and synonyms) that span gross anatomy, cells, subcellular structures, diseases, functions and techniques. InterLex models terms using primitives of the Web Ontology Language (OWL) and can export directly to a variety of standard ontology formats. A primary goal of interlex is to provide a stable layer on top of the many other existing terminologies, lexicons, and ontologies (i.e. provide a way to federate ontologies for data applications) and to provide a set of inter-lexical and inter-data-lexical mappings. In the future, InterLex will support user specific namespaces so that users can customize the exact definitions or ontologies they source from, as well as the relationships on those terms. Importantly, however, InterLex enforces a simple rule which is that terms which represent the same concept under the same superclass will maintain the same identifier fragment (i.e. 'ilx_1234567'). However, each user will be able to 'fork' a term into their own namespace (e.g. http://uri.interlex.org/user/ilx_1234567). This enables the various perspectives on a term or concept to have equal space so that the full diversity of views on a term can be seen and expressed. Sign-up for updates to get notified about updates to InterLex and when new features are available.

Proper citation: InterLex (RRID:SCR_016178) Copy   

•   Source: SciCrunch Registry
  

https://github.com/SciCrunch/SciGraph

Software tool to represent ontologies and data described using ontologies as Neo4j graph. Ontology serving middleware tool using Neo4J as base server, able to ingest ttl files, and serve them to quickly create services that can underpin autocomplete, term lookup and tree traversal.

Proper citation: SciGraph (RRID:SCR_017576) Copy   

•   Source: SciCrunch Registry