Building Robust Big Data Ecosystem

 

Welcome to ISO/IEC JTC 1 Study Group on Big Data (SGBD) !
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   Wo Chang
     Convenor of SGBD
  NIST / ITL
     Digital Data Advisor
     

 
Hot News:
  IEEE NIST Big Data PWG Workshop [October 27 - 30, 2014, Washington DC]
  NIST Big Data Working Public Group Meeting (NBD-PWG) [Meeting Via Teleconferencing]

Big Data at NIST
Background:
There is a broad agreement among commercial, academic, and government leaders about the remarkable potential of "Big Data" to spark innovation, fuel commerce, and drive progress. Big Data is the term used to describe the deluge of data in our networked, digitized, sensor-laden, information driven world. The availability of vast data resources carries the potential to answer questions previously out of reach. Questions like: How do we reliably detect a potential pandemic early enough to intervene? Can we predict new materials with advanced properties before these materials have ever been synthesized? How can we reverse the current advantage of the attacker over the defender in guarding against cybersecurity threats?

However there is also broad agreement on the ability of Big Data to overwhelm traditional approaches. The rate at which data volumes, speeds, and complexity are growing is outpacing scientific and technological advances in data analytics, management, transport, and more.

Despite the widespread agreement on the opportunities and current limitations of Big Data, a lack of consensus on some important, fundamental questions is confusing potential users and holding back progress. What are the attributes that define Big Data solutions? How is Big Data different from the traditional data environments and related applications that we have encountered thus far? What are the essential characteristics of Big Data environments? How do these environments integrate with currently deployed architectures? What are the central scientific, technological, and standardization challenges that need to be addressed to accelerate the deployment of robust Big Data solutions?

ISO/IEC JTC 1 Study Group on Big Data (BD-SG):
Per JTC 1 November 2013 resolution 27, JTC 1 is recognizing the Big Data:

  • Has been identified by SWG Planning as an important future area for JTC 1 focus,
  • Is a topic of consideration within SC 32 as reported to the Plenary, and
  • Continues to be of interest to other JTC 1 Subcommittees including SC 27, SC 34 and SC 38
Therefore, JTC 1 establishes a Study Group on Big Data for consideration of Big Data activities across all of JTC 1 with the following terms of reference:
  1. Survey the existing ICT landscape for key technologies and relevant standards /models/studies /use cases and scenarios for Big Data from JTC 1, ISO, IEC and other standards setting organizations,
  2. Identify key terms and definitions commonly used in the area of Big Data,
  3. Assess the current status of Big Data standardization market requirements, identify standards gaps, and propose standardization priorities to serve as a basis for future JTC 1 work, and
  4. Provide a report with recommendations and other potential deliverables to the 2014 JTC 1 Plenary.
Membership in the SG on Big Data is open to:
  1. JTC 1 National Bodies, JTC 1 Liaisons and approved JTC 1 PAS Submitters;
  2. JTC 1 /SCs, JTC 1/WGs, relevant ISO and IEC TCs;
  3. Members of ISO and IEC central offices; and
  4. Invited standards setting organizations that are engaged in Big Data standardization as approved by the SG on Big Data.
In order for SGBD to perform thorough analysis on Big Data in a constrained time frame, SGBD has secured three meeting venues and would like to propose the following tentative meeting dates (at each 4-day meeting: first two days for workshop presentations and last two days for SGBD standards work):

1st Meeting: March 18 - 21, 2014, San Diego Supercomputer Center, San Diego, US

2nd Meeting: May 13 - 16, 2014, Universiteit van Amsterdam, The Netherlands

3rd Meeting: June 16 - 19, 2014, Beihang University, Beijing, China

General questions to the SGBD can be addressed to wchang@nist.gov

 

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Please send feedback to: wchang@nist.gov
Last updated: January 20, 2014

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