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Open Data at the University
of Edinburgh
Wilbert Kraan, Data Architect, IS apps
What open data?
• Operational data
• OER and research data have their own initiatives
• E.g.
• Degree programme information, timetables, and other non-personal course
data.
• Information about public lectures and bookable events.
• Data about sharable research equipment and facilities
• The location of University buildings and facilities, such as libraries, cafes,
green spaces, car parks and bicycle parking spaces.
• Raw statistics about waste, energy consumption, water usage, room bookings
and usage, computer use, cafés, travel, procurement and supply chains etc.
(where not commercially or personally sensitive)
Why open data?
• Data quality improvement
• many eyes make bugs shallow
• Transparency & accountability
• Cost saving
• FOIA requests
• Scholarly practice
• provide evidence for your conclusions/actions
• University mission
• the creation, dissemination and curation of knowledge.
• Community mission
• Making a significant, sustainable and socially responsible contribution to the common good
• Drive innovation
• Let someone else figure out the best use of our data
• Letting our students work with, and learn from, real data about their lives
What does success in opening data look like?
• And how do we measure it?
• Numbers of datasets released
• Or:
• Numbers of times our datasets have been re-used
• Number of apps built by students or 3d parties (and how widely they are
used)
• Number of assessments that involve open data sets
• Numbers of issues filed or pull requests sent
What do we need to make University of
Edinburgh open data happen?
• A policy- yes, but also:
• Data catalogue?
• Inventory of initiatives / maturity model?
• A standing working group?
• A dedicated support or training team?
• A process for catching and recording data requests?
• Regular hack events?

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Open data at the University of Edinburgh

  • 1. Open Data at the University of Edinburgh Wilbert Kraan, Data Architect, IS apps
  • 2. What open data? • Operational data • OER and research data have their own initiatives • E.g. • Degree programme information, timetables, and other non-personal course data. • Information about public lectures and bookable events. • Data about sharable research equipment and facilities • The location of University buildings and facilities, such as libraries, cafes, green spaces, car parks and bicycle parking spaces. • Raw statistics about waste, energy consumption, water usage, room bookings and usage, computer use, cafés, travel, procurement and supply chains etc. (where not commercially or personally sensitive)
  • 3. Why open data? • Data quality improvement • many eyes make bugs shallow • Transparency & accountability • Cost saving • FOIA requests • Scholarly practice • provide evidence for your conclusions/actions • University mission • the creation, dissemination and curation of knowledge. • Community mission • Making a significant, sustainable and socially responsible contribution to the common good • Drive innovation • Let someone else figure out the best use of our data • Letting our students work with, and learn from, real data about their lives
  • 4. What does success in opening data look like? • And how do we measure it? • Numbers of datasets released • Or: • Numbers of times our datasets have been re-used • Number of apps built by students or 3d parties (and how widely they are used) • Number of assessments that involve open data sets • Numbers of issues filed or pull requests sent
  • 5. What do we need to make University of Edinburgh open data happen? • A policy- yes, but also: • Data catalogue? • Inventory of initiatives / maturity model? • A standing working group? • A dedicated support or training team? • A process for catching and recording data requests? • Regular hack events?