Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources

Content Provider	Directory of Open Access Journals (DOAJ)
Author	Luis eMarenco Rixin eWang Anita eBandrowski Jeffrey S. Grethe Gordon M. Shepherd Perry eMiller
Abstract	This paper describes how DISCO, the data-aggregator that supports the Neuroscience Information Framework (NIF), has been extended to play a central role in automating the complex workflow required to support and coordinate the NIF's data integration capabilities. The NIF is an NIH Neuroscience Blueprint initiative designed to help researchers access the wealth of data related to the neurosciences available via the Internet. A central component is the NIF Federation, a searchable database that currently contains data from 231 data and information resources regularly harvested, updated, and warehoused in the DISCO system. In the past several years, DISCO has greatly extended its functionality and has evolved to play a central role in automating the complex, ongoing process of harvesting, validating, integrating, and displaying neuroscience data from a growing set of participating resources. This paper provides an overview of DISCO's current capabilities and discusses a number of the challenges and future directions related to the process of coordinating the integration of neuroscience data within the NIF Federation.
Related Links	http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00058/full
e-ISSN	16625196
DOI	10.3389/fninf.2014.00058
Journal	Frontiers in Neuroinformatics
Volume Number	8
Language	English
Publisher	Frontiers Media S.A.
Publisher Date	2014-01-01
Publisher Place	Switzerland
Access Restriction	Open
Subject Keyword	Neurosciences. Biological psychiatry. Neuropsychiatry Biomedical Informatics Neuroinformatics Data Integration Database Federation Database Interoperation
Content Type	Text
Resource Type	Article