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.
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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
2. Idea from Cameron Neylon
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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:
â˘what technological approach is being taken to opening the data (e.g. API,
RSS, linked data)
â˘how are you tackling licensing and IPR issues?
â˘what are some of the key lessons you're learning along the way?
â˘anything you didn't anticipate?
â˘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
5. data ainât 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 ainât 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 ainât 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 ainât 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
⢠Itâs 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:
â Your #1 objective may be their afterthought (and
vice versa)
â 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
â There is no such thing as a stupid question
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
âparadataâ 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
ÂŁ50,000
http://jlernexperiment.wordpress.com/
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:
â˘what technological approach is being taken to opening the data (e.g. API,
RSS, linked data)
â˘how are you tackling licensing and IPR issues?
â˘what are some of the key lessons you're learning along the way?
â˘anything you didn't anticipate?
â˘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
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:
â˘what technological approach is being taken to opening the data (e.g. API,
RSS, linked data)
â˘how are you tackling licensing and IPR issues?
â˘what are some of the key lessons you're learning along the way?
â˘anything you didn't anticipate?
â˘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