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Privacy,	Policy,	and	Data	Governance	
in	the	University
Privacy	Implications	of	Research	Data
NISO	– RDA	Joint	Interest	Group
September	11,	2016
Christine	L.	Borgman
Distinguished	Professor	and	Presidential	Chair	in	
Information	Studies
University	of	California,	Los	Angeles
http://christineborgman.info
https://knowledgeinfrastructures.gseis.ucla.edu/
@scitechprof
• Australian	Research	Council
– Code	for	the	Responsible	Conduct	of	Research
– Data	management	plans
• National	Science	Foundation
– Data	sharing	requirements
– Data	management	plans
• U.S.	Federal	policy
– Open	access	to	publications
– Open	access	to	data
• European	Union
– European	Open	Data	Challenge
– OpenAIRE
• Research	Councils	of	the	UK
– Open	access	publishing
– Provisions	for	access	to	data
2
Open	access	policies
3
4
• How	should	UCLA	collect,	
organize,	and	use	research	
analytics	about	our	
community?
• Who	should	have	access	to	
these	data?
– Within	UCLA?
– In	partnership	with	public	and	
private	entities?
• What	are	the	governance	
principles?
• What	are	the	governance	
processes?Data	Governance	Task	Force	Site:	
https://ccle.ucla.edu/course/view/datagov
UCLA	Data	Governance	Task	Force*
5
Faculty Staff
Christine	Borgman,	Co-Chair,	
Information	Studies
Kent	Wada,	Co-Chair,	
Chief	Privacy	Officer
Christina	Christie,	Education,	IRB Amy	Blum,	Senior	Campus	Counsel	
Vickie	Mays,	Psychology, Health Meg	Buzzi,	
Academic	Personnel	System
Neil	Wenger,	Medicine,	Ethics Mike	Lee,	
Social	Science	Computing
Kristen	McKinney,	
Student	Affairs	Info	System
*Anna	Joyce,	Policy	Analyst,	Staff
to	the	Task	Force
Kelly	Wahl,	Statistical Analysis,	
Academic	Planning	&	Budget
Data	collected	by our	community
• Data	types
– Research	data
– Analytics	for	teaching	and	learning
– Evaluation	of	individuals,	programs,	services	
• Policy	and	management	responses
– Mandates	of	funders	and	journals
– Research	data	management	services
– Release	and	retention	practices
– Laws	and	policies
• Human	subjects	regulations
• Open	records	laws
• HIPAA,	FERPA,	PII…
Data	collected	about	our	community
• Student	records
– Registrar
– Course	management	systems
– ID	card	based	services:	library,	dorms,	food,	health…
– Internet	services:	email,	social	media,	music,	…
• Faculty	records
– Publications
– Grants
– Teaching	evaluations
– Service	activities
– Financial,	medical
– Internet	services
Data	governance	scenarios
• Student	records
• Faculty	records
8http://www.rrcc.edu/sites/default/files/studentRecords_Banner.jpg
Student	records
• What	does	the	university	collect?
• What	can	other	entities	collect?
• Who	has	access	to	these	records?
• What	uses	might	be	made	of	these	records?
• How	should	use	by	governed?
9
Faculty	records
• What	does	the	university	collect?
• What	can	other	entities	collect?
• Who	has	access	to	these	records?
• What	uses	might	be	made	of	these	records?
• How	should	use	by	governed?
12
Bibliometrics,	Scientometrics,	
Informetrics,	Webometrics…
Ohm,	P.	(2010).	Broken	Promises	of	Privacy:	
Responding	to	the	Surprising	Failure	of	
Anonymization.	UCLA	Law	Review,	57,	1701.	
Borgman,	C.	L.	(2015).	Big	Data,	Little	Data,	No	Data:	Scholarship	
in	the	Networked	World.	Cambridge	MA:	MIT	Press.
Mapping	Scholarship
Börner,	K.	(2010).	Atlas	of	Science:	Visualizing	What	We	Know.	Cambridge,	Mass:	The	MIT	Press.
15
Bibliometrics by	Source
Searches	for	author:	Christine	Borgman,	Christine	L.	Borgman,	CL	Borgman	
(excluding	other	C	Borgman	authors)	on	July	28,	2014	and	February	25,	2016	for	
Google	Scholar, Web of	Science,	Scopus
UCLA	cancelled	Scopus	subscription	by	2016
Source Publications
2014									2016
Citations	received
2014								2016
H-index
2014								2016
Google	Scholar
(Google)
380 443 7766 9701 39 43
Web	of	Science
(Thomson-Reuters)
145 150 1629 1967 20 23
Scopus	– July	2014
(Elsevier)
77 1314 14	(after	
1995)
16
17
Recommendation	1:	Scope
• The	scope	of	data	to	be	governed	includes:
– Data	the	campus	possesses about	any	UCLA	person;	i.e.,	staff,	
faculty,	students
– Data	that	are	identifiable by	name	or	that	can	easily	be	linked	to	
a	person
– Data	that	the	campus	possesses	on	any	person	that	was	
generated	during	the	scope	of	the	person’s	business	with	the	
University,	including	data	that	were	sent	to	someone	at	the	
University
• The	scope	of	data	to	be	governed	excludes:
– Research	data	under	the	purview	of	IRB	regulations
– Protected	Health	Information	(PHI)	governed	by	HIPAA,	or	
individually	identifiable	health	information	in	campus	student	
healthcare	facilities
18
Recommendation	2:	Inventory
• Extend	data	management work	already	
undertaken	by	campus	to	include	data	that	
are	in	the	stated	scope	of	data	governance.
19
Recommendation	3:	Best	practices
• Build	upon	established	fair	information	
practices	principles	for	privacy	and	extend	
these	principles	to	account	for	appropriate	
uses	of	the	data	as	technology,	practice,	and	
policy	evolve.	
20
Privacy	and	Information	Security
University	of	California	Privacy	and	Information	Security	Committee	
http://ucop.edu/privacy-initiative/
Triggers	for	review
• When	data	are	used	to	make	decisions	about	people
• When	data	are	collected	about	people	without	their	
knowledge	or	consent
• When	data	about	people	are	used	in	unexpected	ways	
without	subjects’	knowledge	or	consent
– New	applications	of	data	or	systems
– Mining,	analysis,	and	aggregation
• When	data	are	shared	with	external	entities
– Private	sector	partners
– Public	sector	partners
– Other	universitie
Recommendation	4:	Existing	structures
• Extend	existing	structures	and	practices	for	
governing	information	technology	at	UCLA	to	
the	operational	framework	for	data	
governance.
23
Board	on	Privacy	and
Data	Protection
Executive	Vice	Chancellor	
and	Provost*
*	decision-making	 authority
Voting	members
• Faculty	Chair	– Appointed	by	EVC	+	Senate
• Administrative	Vice	Chair	– Vice	Provost,	IT
• 6	faculty	members
• 6	administrative	members
• 1	undergraduate	student	representative
• 1	graduate	student	representative
Non-voting	members
• UCLA	Chief	Privacy	Officer
• Chief	Information	Security	Officer
• Designee	of	the	EVC	and	Provost
• Designee	from	Audit	&	Advisory	Services
Board	on	Privacy	and
Data	Protection
Executive	Vice	Chancellor	
and	Provost*
*	decision-making	 authority
Oversight	Committee	on
Audit,	IT	Governance,	
Compliance	and	Accountability*
IT	Planning	 Board
Academic	Senate*
Board	on	Privacy	and
Data	Protection
UCLA	Chief	Privacy	Officer
• Training	and	awareness
• Governance	support
• Privacy	breach	analysis
• Policy	development	and	interpretation
• Data	use	questions
• UC	privacy	and	information	security	report	
recommendations	implementation
Board	on	Privacy	and
Data	Protection
*	decision-making	 authority
UCLA	Chief	Privacy	Officer
Institutional	Review	Board*
The	Office	of	the	UCLA	CPO	becomes	
the	triage	point	for	incoming	requests
Recommendation	5:	Activities
• Develop	programmatic	activities	necessary	to	
support	effective	data	governance.
28
Discussion	topics
• Problem:	data	or	uses	of	data	not	covered	by	existing	
laws	or	policies	(e.g.,	FERPA,	HIPAA,	PII)
• How	to	extend	FIPS	principles?
– Notice	
– Consent	
• How	to	scope	the	data	governance	problem?
– By	subjects	of	data	collection?
– By	uses	of	data?
– By	parties	collecting	data?	Using	data?	
• What	are	appropriate	criteria,	values,	practices?
• What	are	workable	governance	processes?
Acknowledgements
• Kent	Wada,	UCLA	Chief	Privacy	Officer	and	
Chief	Information	Security	Officer
• James	F.	Davis,	UCLA	Associate	Vice	Provost	
for	Information	Technology
• UCLA	Privacy	and	Data	Protection	Board
• UC	Initiative	on	Privacy	and	Information	
Security
Data	Governance	Task	Force	Site:	
https://ccle.ucla.edu/course/view/datagov

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