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Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation

Descriptive

TypeOfResource
Text
TitleInfo
Title
Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation
Name (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (type = personal); (valueURI = http://orcid.org/0000-0001-6123-5282)
NamePart (type = family)
Sarwate
NamePart (type = given)
Anand D.
Affiliation
Electrical and Computer Engineering, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Plis
NamePart (type = given)
Sergey M.
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (type = personal); (valueURI = http://orcid.org/0000-0003-0076-8434)
NamePart (type = family)
Turner
NamePart (type = given)
Jessica A.
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Arbabshirani
NamePart (type = given)
Mohammad R.
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (type = personal); (valueURI = http://orcid.org/0000-0001-9058-0747)
NamePart (type = family)
Calhoun
NamePart (type = given)
Vince D.
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Electrical and Computer Engineering
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Engineering
Genre (authority = RULIB-FS)
Article, Refereed
Genre (authority = NISO JAV)
Version of Record (VoR)
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2014
Publisher
Frontiers
Abstract (type = Abstract)
The growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the “small N” problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; though many do permit direct access to data, they often require a cumbersome approval process that can take months. An alternative approach is to only share data derivatives such as statistical summaries—the challenges here are to reformulate computational methods to quantify the privacy risks associated with sharing the results of those computations. For example, a derived map of gray matter is often as identifiable as a fingerprint. Thus alternative approaches to accessing data are needed. This paper reviews the relevant literature on differential privacy, a framework for measuring and tracking privacy loss in these settings, and demonstrates the feasibility of using this framework to calculate statistics on data distributed at many sites while still providing privacy.
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
InternetMediaType
application/pdf
Extent
12 p.
Subject (authority = local)
Topic
Collaborative research
Subject (authority = local)
Topic
Data sharing
Subject (authority = LCSH)
Topic
Privacy
Subject (authority = LCSH)
Topic
Data integration (Computer science)
Subject (authority = local)
Topic
Neuroimaging
Extension
DescriptiveEvent
Type
Citation
DateTime (encoding = w3cdtf)
2014
AssociatedObject
Name
Frontiers in Neuroinformatics
Type
Journal
Relationship
Has part
Detail
1-12
Identifier (type = volume and issue)
8(35)
Reference (type = url)
http://dx.doi.org/10.3389/fninf.2014.00035
Note (type = version identification)
This document is protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission.
Note (type = peerReview)
Peer reviewed
RelatedItem (type = host)
TitleInfo
Title
Sarwate, Anand D.
Identifier (type = local)
rucore30159700001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T37P913B
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Rights

RightsHolder (type = personal)
Name
FamilyName
Sarwate
GivenName
Anand
MiddleName
D.
Role
Copyright holder
RightsDeclaration (AUTHORITY = FS); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
Type
Permission or license
AssociatedObject
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
RightsHolder (type = personal)
Name
FamilyName
Plis
GivenName
Sergey
MiddleName
M.
Role
Copyright holder
RightsHolder (type = personal)
Name
FamilyName
Turner
GivenName
Jessica
MiddleName
A.
Role
Copyright holder
RightsHolder (type = personal)
Name
FamilyName
Arbabshirani
GivenName
Mohammad
MiddleName
R.
Role
Copyright holder
RightsHolder (type = personal)
Name
FamilyName
Calhoun
GivenName
Vince
MiddleName
D.
Role
Copyright holder
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
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