extending the nif disco framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources

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ID: 255088
2014
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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.
Reference Key
emarenco2014frontiersextending Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Luis eMarenco;Luis eMarenco;Luis eMarenco;Rixin eWang;Anita eBandrowski;Jeffrey S Grethe;Gordon M Shepherd;Perry eMiller;Perry eMiller;Perry eMiller;Perry eMiller
Journal Nucleic Acids Research
Year 2014
DOI
10.3389/fninf.2014.00058
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