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.
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?
8.
9.
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