The DataTags framework makes it easy for data producers to deposit, data publishers to store and distribute, and data users to access and use datasets containing confidential information, in a standardized and responsible way. The talk will first introduce the concepts and tools behind DataTags, and then focus on the user-facing component of the system - Tagging Server (available today at datatags.org). We will conclude by describing how future versions of Dataverse will use DataTags to automatically handle sensitive datasets, that can only be shared under some restrictions.

1.
share
sensi)ve
data
with
confidence
Latanya
Sweeney
latanya@fas.harvard.edu
latanyasweeney.org

2. Gender, Race
Ethnicity
Micro-ethnicity (sub groups)
Median Household income**
Attended elite boarding school?
Hometown Foreign Country?
Hometown State*
Primary academic major*
Secondary academic major*
Dorm Freshman Year*
Dorm Neighborhood, 4 zones
Network linkages of roommates
On Facebook?
Facebook: Political view
Facebook: Interested In
Facebook: number of friends (school)
Facebook: total number of friends
Facebook: number of Picture Friends
Facebook: Favorite Movies*
Facebook: Favorite Music*
Facebook: Favorite Books*
Facebook: linkages of friends
Jason’s
Dataset

3. Joe’s
Dataset
Description
* Date of visit (month, day and year)
Transaction#
Unique patient identifier
* Patient 5-digit ZIP code
* Month, day and Year of Birth
* Gender
Unique Provider ID
Provider 5-digit ZIP code
* ICD9 diagnosis code 1
* ICD9 diagnosis code 2
* ICD9 diagnosis code 3
* ICD9 diagnosis code 4
* ICD9 diagnosis code 5
* ICD9 diagnosis code 6

4. Francesca’s Combined Data

5. Chevron
Refinery
Liberty/
Atchison
Villages
Interstate
Levin-­‐Richmond
Terminal
Corp
(marine)
General
Chemical
Corp
Rail
yard
Julia’s
Interviews
N
l

6. All
these
people
need
to
store
data
in
a
manner
that
respects
legal
and
ethical
commitments.
#1
Readme
Files
#2
Uniform
storage
and
handling

7. How
does
a
researcher
comply
with
more
than
2000
privacy
laws?

10. Legal
Experts
Codify
Jurisprudence
into
the
six
levels.
Set
of
computer
rules
for
tagging
data
on
ingesUon
Data
with
its
dataTag
deposit
into
a
dataTags-­‐
compliant
repository
Wiki
approach
HarmonizaUon
Modeling

11. Legal
Experts
Codify
Jurisprudence
into
the
six
levels.
Set
of
computer
rules
for
tagging
data
on
ingesUon
Data
with
its
dataTag
deposit
into
a
dataTags-­‐
compliant
repository
Expert
System:
decision
tree
Expert
System:
rule-­‐based

12. Legal
Experts
Codify
Jurisprudence
into
the
six
levels.
Set
of
computer
rules
for
tagging
data
on
ingesUon
Data
with
its
dataTag
deposit
into
a
dataTags-­‐
compliant
repository
Interview
Server
Remote
API
Q&A
Binary,
Remote
Exec

13. Legal
Experts
Codify
Jurisprudence
into
the
six
levels.
Set
of
computer
rules
for
tagging
data
on
ingesUon
Data
with
its
dataTag
deposit
into
a
dataTags-­‐
compliant
repository
Dataverse
iRods

14. Legal
Experts
Codify
Jurisprudence
into
the
six
levels.
Set
of
computer
rules
for
tagging
data
on
ingesUon
Data
with
its
dataTag
deposit
into
a
dataTags-­‐
compliant
repository
Interview
datatags.org