Communications of the ACM
Making Big Data Work
The U.S. National Institute of Standards and Technology will accept comments on its newly released Big Data Interoperability Framework through May 21.
Credit: DatacenterJournal.com
The U.S. National Institute of Standards and Technology (NIST) released a framework for working with big data on April 6. The NIST Big Data Interoperability Framework seeks to establish a set of definitions for data science and common ground for what constitutes usability, portability, analytics, governance, and other concepts.
"One of NIST's big data goals was to develop a reference architecture that is vendor-neutral and technology- and infrastructure-agnostic, to enable data scientists to perform analytics processing for their given data sources without worrying about the underlying computing environment," says NIST adviser Wo Chang.
The framework offers an agreed-upon set of questions that need to be answered, and challenges that need to be addressed, in order to produce a set of global standards for producing, storing, analyzing, and safeguarding large, diverse datasets.
Some types of data could create problems in the years to come because they were not created with security and privacy in mind. Until recently, medical-imaging data, security video, and geospatial imaging were considered too large to be conveniently analyzed and shared over computer networks. The vulnerabilities the Internet of Things and sensor data could create for devices also were overlooked.
NIST will accept comments on the framework through May 21.
From Federal Computer Week
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