Fabrizio Allegretto: Open Data & University

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

Published in: Technology
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Fabrizio Allegretto: Open Data & University

  1. 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. 2. Contents
  3. 3. Freely accessible Reproducible Permanent Updated Readable by a computer
  4. 4. Why Open Data? create tangible benefits to all create innovation not waste the public administration data. TO TO TO
  5. 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. 6.  More data for everyone  Transparency  Creation of jobs  Innovation Advantages & Disadvantages  Possible violation of privacy  Not immediate benefits
  7. 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. 8. Univerity and Open Data There are universities that release Open Data? What kind of data?
  9. 9. University and Open Data In Italy
  10. 10. University and Open Data In America
  11. 11. Univerity and Open Data In England
  12. 12. Open data and applications
  13. 13. Open Data Map
  14. 14. Bus information
  15. 15. Univerity and Open Data In England
  16. 16. Culture Science Financial Statistics Weather Enviroment Geodata Transport Types of Data
  17. 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. 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. 19. Thank you for your attention

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