The document summarizes a JISC Cross-Programme Discovery Workshop held in April 2012 to explore open data possibilities and address related issues. The agenda included providing context on the data space, introductions from participants, and a facilitated discussion on technological approaches to opening data, tackling licensing and IPR, lessons learned, unexpected challenges, and overlapping initiatives. The objective was to highlight successful open data approaches.

1. JISC Cross-Programme Discovery Workshop
April 2012
ed
uc dis
da atio cov
ta n e
da and ry in
ta
ev rese
e ry a
w h rc h
ere :
discovery and open data #discopen
Amber Thomas @ambrouk
Programme Manager, JISC Digital Infrastructure Team
excluding ppt template
workshop slides
see slide 2

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3. JISC Cross-Programme Discovery Workshop
April 2012
discopen Session objective: Explore possibilities offered by open data and address issues
and highlight successful approaches
14:00 The data space: a bit of context (15min)
Introductions (max 45 min)
15:00 Break
15:15 Addressing the issues with open data .Facilitated Discussion around:
•what technological approach is being taken to opening the data (e.g. API,
RSS, linked data)
•how are you tackling licensing and IPR issues?
•what are some of the key lessons you're learning along the way?
•anything you didn't anticipate?
•are you aware of any other projects or initiatives which your work would
overlap with?
16:15 Break
16:30 Distilling the discussion
17:30 Close

4. JISC Cross-Programme Discovery Workshop
April 2012
the data space
a bit of context

5. data ain’t nothing new
open data big data
linked data data analytics
activity data paradata
metadata
ta : Why is everyone
da re s suddenly talking
ata whe ord
d ry about data?
w e
eve new er
y ywh
nc er
fa ev

6. data ain’t nothing new
Is this some kind deriving data-driven
of tipping point? value infrastructure
ev
en efficiency
int CEO
ev o d s transparency data-driven
t al er
kin yo ata: are decision making
g a ne
b o is
ut
it

7. data ain’t nothing new
none of this is
really new, right?
we know this stuff
legal issues s eem t o
ethics people ic
ing bas
formats be mak
standards mi stakes!
structures policies

8. if there was ever a time to apply
good data practices, it is now
open data big data
linked data data analytics
activity data paradata deriving
metadata the what data-driven
value infrastructure
the why
efficiency
the how transparency data-driven
legal issues decision making
ethics
formats standards
structures policies

9. if there was ever a time to apply
good data practices, it is now
data ain’t nothin new
BUT there seems to be a groundswell
enough data that is good enough
enough political will of many hues
enough technologies for big data: noSQL
enough ways of showing data patterns: viz
our job is often to apply known good practices,
while the appetite and will is there

10. JISC-funded work in this space
• We are in education and research: teaching,
research, libraries, IT, corporate systems, UK
shared services ...
• We have been led into the data space from a
wide range of specialisms
• Our data space is multi-disciplinary
• It’s not just about new practices but the
application of good practices to new challenges

11. different perspectives
• Things its useful to remember when talking to
other projects, especially across programmes:
– Your #1 objective may be their afterthought (and
vice versa)
– All projects operate within constraints: before you
assume they are ignorant of solutions, ask if they
had considered the approach you used, you might
learn something
– There is no such thing as a stupid question

12. technologies and licensing
SPARQL
platforms OGL
CC
DublinCore JSON
APIs
RSS/atom vocabs
triples
OAI-PMH

13. open = ?
free at the CC BY
point of use
metadata-only CC Zero
machine-
readable open content
editable
collaborative

14. use cases and business cases
I find it is helpful to
distinguish between use
cases and business cases

15. situating your project in the data space:
learning variables:
GLAM maturity
resources
metadata standards
metadata
drivers
activity & benefits
research
usage data
data
“paradata” shared concerns:
DAT technologies
A licensing issues
administrative bibliographic skills and capacity
data data appetite and demand
etc! geo-data
each project is
unique
OPEN
DATA

16. EXAMPLE: JLeRN
Programme: Open Educational
Resources Phase 3
November 2011-July 2012
£50,000
http://jlernexperiment.wordpress.com/

17. EXAMPLE: LOCAH
Programme: JISC Expo
Dates
£x
http://blogs.ukoln.ac.uk/locah/

18. EXAMPLE: Huddersfield Libraries
Programme: Activity Data
Dates
£x
http://library.hud.ac.uk/blogs/projects/lidp/

19. EXAMPLE: Cambridge Libraries
Programme: Discovery: Open
Bibliographic Data Strand
Dates
£x
http://data.lib.cam.ac.uk/datasets.php

20. EXAMPLE: YOU
Programme:
Date:
£

21. JISC Cross-Programme Discovery Workshop
April 2012
introductions

22. JISC Cross-Programme Discovery Workshop
April 2012
discopen Session objective: Explore possibilities offered by open data and address issues
and highlight successful approaches
14:00 The data space: a bit of context (15min)
Introductions (max 45 min)
15:00 Break
15:15 Addressing the issues with open data .Facilitated Discussion around:
•what technological approach is being taken to opening the data (e.g. API,
RSS, linked data)
•how are you tackling licensing and IPR issues?
•what are some of the key lessons you're learning along the way?
•anything you didn't anticipate?
•are you aware of any other projects or initiatives which your work would
overlap with?
16:15 Break
16:30 Distilling the discussion
17:30 Close

23. JISC Cross-Programme Discovery Workshop
April 2012
Discussion

24. Your Projects
• what technological approach is being taken to
opening the data (e.g. API, RSS, linked data)
• how are you tackling licensing and IPR issues?
• what are some of the key lessons you're
learning along the way?
• anything you didn't anticipate?
• are you aware of any other projects or
initiatives which your work would overlap
with?

25. JISC Cross-Programme Discovery Workshop
April 2012
discopen Session objective: Explore possibilities offered by open data and address issues
and highlight successful approaches
14:00 The data space: a bit of context (15min)
Introductions (max 45 min)
15:00 Break
15:15 Addressing the issues with open data .Facilitated Discussion around:
•what technological approach is being taken to opening the data (e.g. API,
RSS, linked data)
•how are you tackling licensing and IPR issues?
•what are some of the key lessons you're learning along the way?
•anything you didn't anticipate?
•are you aware of any other projects or initiatives which your work would
overlap with?
16:15 Break
16:30 Distilling the discussion
17:30 Close

26. JISC Cross-Programme Discovery Workshop
April 2012
ed
uc dis
da atio cov
ta n e
da and ry in
ta
ev rese
e ry a
w h rc h
ere :
discovery and open data #discopen
Amber Thomas @ambrouk
Programme Manager, JISC Digital Infrastructure Team
excluding ppt template
see slide 2