The Neuroscience Information Framework: A Data and Knowledge Environment for Neuroscience.
Daniel GardnerHuda AkilGiorgio A. AscoliDouglas M. BowdenWilliam J. BugDuncan E. DonohueDavid H. GoldbergBernice GrafsteinJeffrey S. GretheAmarnath GuptaMaryam HalaviDavid N. KennedyLuis N. MarencoMaryann E. MartonePerry L. MillerHans-Michael MüllerAdrian RobertGordon M. ShepherdPaul W. SternbergDavid C. Van EssenRobert W. WilliamsPublished in: Neuroinformatics (2008)
Keyphrases
- raw data
- prior knowledge
- complex data
- expert knowledge
- collected data
- heterogeneous sources
- information sources
- missing information
- valuable knowledge
- enormous amounts
- extra information
- domain knowledge
- knowledge discovery
- spatial knowledge
- data analysis
- information from multiple sources
- data mining techniques
- domain experts
- historical data
- acquisition process
- global information
- structured information
- sensor data
- data collection
- vast amounts of data
- semantically rich
- partial knowledge
- historical information
- environmental information
- business partners
- statistical data
- data sets
- background knowledge
- sensitive information
- training data
- log data
- multiple sources
- information resources
- database
- computer systems
- knowledge acquired
- gathering information
- information processing
- temporal information
- stored data
- heterogeneous data sources
- private information
- data repositories
- information space
- knowledge base
- statistical information
- disparate data sources
- knowledge sharing
- data quality
- web data
- human users