Gene expression data from published journal articles that test hypotheses relevant to the neuroscience of addiction and addictive behavior. Data types include the effects of a particular drug, strain, or knock out on a particular gene, in a particular anatomical region. ''Export'' (Data Federation) for a fuller description of the methods, drug paradigm and the experimental values. Data submissions are welcome, https://confluence.crbs.ucsd.edu/display/NIF/DRG+Submission+Documentation Funded by an ARRA supplement from the National Institute of Drug Abuse (NIDA), the DRG database was created to facilitate discovery and use of resources relevant to drug abuse research. The database and associated tools were specifically created for providing data that is contained in tables, figures and supplementary materials from published papers in a way that facilitates search across the results of these studies. The current database mainly focuses on gene expression data and exposes data from investigations using DNA microarrays, polymerase chain reaction, immunohistochemistry and in-situ hybridizations. Once loaded, these data are available for query through the NIF interface. During this process, the content is standardized using a generic high level description of a relevant study and map terms to ontologies available through the NIF project (NIFSTD) to enhance semantic search of such data.
SciCrunch is a data sharing and display platform. Anyone can create a custom portal where they can select searchable subsets of hundreds of data sources, brand their web pages and create their community. SciCrunch will push data updates automatically to all portals on a weekly basis. User communities can also add their own data to scicrunch, however this is not currently a free service.