Project by Fabrizio Allegretto Course "Innovation and New Technologies" - University of Camerino (teacher C. Vaccari)

1. UNIVERSITY OF CAMERINO
SCHOOL OF SCIENCE AND TECHNOLOGIES
MASTER DEGREE IN COMPUTER SCIENCE – INNOVATION AND NEW TECHNOLOGIES
FABRIZIO ALLEGRETTO
ACADEMIC YEAR 2013 / 2014
Open Data & University

2. Contents

3. Freely accessible
Reproducible
Permanent
Updated
Readable by a computer

4. Why Open Data?
create tangible
benefits to all
create innovation
not waste the public
administration data.
TO
TO
TO

5. The P.A.
The P.A. always collects and stores information on many
different data, such as demographics , environment, healt,
cartographic, economic, surveying, metereology etc. Today the P.A
has the possiblity to redefine the concept of trasparency of
governament data giving back the accumulates informative
heritage and updated to the business operator.

6.  More data for everyone
 Transparency
 Creation of jobs
 Innovation
Advantages & Disadvantages
 Possible violation of
privacy
 Not immediate
benefits

7.  Transparency and democratic control
 Participation
 Increase its influence in the public discussion
 Improvement or creation of products and services
private
 Innovation
 Improving the efficiency and efficacy of public
services
 Measuring the impact of public policies
Benefits

8. Univerity and Open Data
There are universities that release Open Data?
What kind of data?

9. University and Open Data
In Italy

10. University and Open Data
In America

11. Univerity and Open Data
In England

12. Open data and applications

13. Open Data Map

14. Bus information

15. Univerity and Open Data
In England

16. Culture
Science
Financial
Statistics
Weather
Enviroment
Geodata
Transport
Types of Data

17.  Metadata for research equipment and services
 Data relating to research and projects of the university
itself
 Upcoming courses at the University
 Academic sessions
 Data relating to members and graduates
Concern univerity

18. Concern everyone
 Datasets related to the location of catering that include
menus and opening times.
 Data related to air atmospherical condtions
 Data related to public transport
 Data related to work places available in the
surrounding area

19. Thank you for your
attention