TY - JOUR
T1 - Big Data, intelligence, and analyst privacy
T2 - investigating information dissemination at an NSA-funded research lab
AU - Swanson, Maureen H.
AU - Vogel, Kathleen M.
N1 - Funding Information:
This material is based upon work supported in whole or in part with funding from the Laboratory for Analytic Sciences (LAS). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the LAS and/or any agency or entity of the United States Government.
Publisher Copyright:
© 2017 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/4/16
Y1 - 2018/4/16
N2 - The Laboratory for Analytic Sciences (LAS) at North Carolina State University, funded by the National Security Agency, is a collaborative, long-term research enterprise focused on improving intelligence analysis using Big Data. In its work, LAS has recently begun dealing with the trade-off between the collection, storage, and use of large unclassified data-sets and analyst privacy. We discuss particular privacy challenges at LAS, analyze privacy principles in the life cycle of LAS unclassified data-sets, what intelligence analysts themselves think about these privacy concerns, and recommend possible best practices potentially applicable to LAS, as well as future Big Data laboratories and research centers that collaborate with intelligence communities.
AB - The Laboratory for Analytic Sciences (LAS) at North Carolina State University, funded by the National Security Agency, is a collaborative, long-term research enterprise focused on improving intelligence analysis using Big Data. In its work, LAS has recently begun dealing with the trade-off between the collection, storage, and use of large unclassified data-sets and analyst privacy. We discuss particular privacy challenges at LAS, analyze privacy principles in the life cycle of LAS unclassified data-sets, what intelligence analysts themselves think about these privacy concerns, and recommend possible best practices potentially applicable to LAS, as well as future Big Data laboratories and research centers that collaborate with intelligence communities.
UR - http://www.scopus.com/inward/record.url?scp=85036625368&partnerID=8YFLogxK
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U2 - 10.1080/02684527.2017.1400234
DO - 10.1080/02684527.2017.1400234
M3 - Article
AN - SCOPUS:85036625368
SN - 0268-4527
VL - 33
SP - 357
EP - 375
JO - Intelligence and National Security
JF - Intelligence and National Security
IS - 3
ER -