June 2016: Federal Big Data Summit Report

Abstract

The most recent installment of the Federal Big Data Summit, held on June 30, 2016, included five MITRE-ATARC (Advanced Technology Academic Research Center) Collaboration Sessions. These collaboration sessions allowed industry, academic, government, and MITRE representatives the opportunity to collaborate and discuss challenges the government faces in big data research and technologies. The goal of these sessions was to create a forum to exchange ideas and develop recommendations to further the adoption and advancement of big data techniques and best practices within the government. Participants representing government, industry, and academia addressed five challenge areas in big data: the Intersection of Big Data and the Internet of Things (IoT); Driving Innovation with Big Data; Progress toward Prescriptive Analytics; Data Privacy: Challenges and Solutions; and Using Big Data and Analytics in Health Care. This white paper summarizes the discussions in the collaboration sessions and presents recommendations for government and academia while identifying orthogonal points between challenge areas. The sessions identified detailed actionable recommendations for the government and academia which are summarized below: The government is taking on more and more data and new agencies are using data to drive their mission. This increasing dependency means agencies need to be fully prepared to take on data and should be planning for a data-driven future. Agencies need to have big data architectures, development sandboxes, and storage strategies in place. Big data is a rapidly expanding field in need of standards and regulations that can keep up with the technology. Standards are necessary for inter-agency communication and to establish trust and confidence in data science. Federal agencies also need to be prepared and have standards in place related to data privacy. Agencies are trusted with sensitive data, including health data. Individual identities need to be protected.

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Document Details

Document Type
Technical Report
Publication Date
Aug 05, 2016
Accession Number
AD1108010

Entities

People

  • Bob Natale
  • Christine Harvey
  • Haleh Vafaie
  • Huang Tang
  • Julie Mcewen
  • Matt Mickelson
  • Tim Harvey
  • Tom Suder

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Best Practices
  • Big Data
  • Biometric Security
  • Commerce
  • Computer Access Control
  • Cybersecurity
  • Data Analysis
  • Data Integration
  • Data Science
  • Data Set
  • Descriptive Analytics
  • Digital Data
  • Digital Information
  • Engineering
  • Environment
  • Health Care
  • Identification
  • Information Science
  • Information Systems
  • Internet
  • Internet Of Things
  • Knowledge Management
  • Predictive Analytics
  • Training

Readers

  • Defense Technology Research and Development.
  • Distributed Systems and Data Platform Development
  • Government and Public Administration Law.

Technology Areas

  • 5G
  • AI & ML
  • AI & ML - DoD AI Strategy