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Data collection for cultural project

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Data collection for cultural project

  1. 1. Data collection for cultural projects Danilo Supino may 8-12, 2020 Rome, Master in Cultural Diplomacy data, analysis, visualization Made with
  2. 2. OVERVIEW Data & Sources At a glance: why data are so important? How to choose data for project? Statistics offices (international and local) Open data MiBact & Local Tourism data Search and download data excel, csv, xml, json, etc. Software & Tools Tableau, infogram Practice data analysis, data visualization Data collection for cultural projects data, analysis, visualization Made with
  3. 3. At a glance: why data are so important? How to choose data for project? Statistics offices (international and local) Open data MiBact & Local tourism data Data & Sources Made with
  4. 4. Why data are so important? Data & Sources Made with
  5. 5. digital humanities marketing, adv business intelligence problem solving government policy etc. Data & Sources Data era - datafication People information acquisition data: geographical, demographical, interests, ect. Application Made with
  6. 6. More comprehensive Data & Sources Small Data vs Big Data Easily readable More accessible (i.e. open data 3star) Find causation and correlation Main characteristics Big Data Main characteristics Volume Variety Velocity Veracity IBM's Four Vs Small Data Made with
  7. 7. How to choose data for a project? Data & Sources Made with
  8. 8. Data & Sources Newspaper, magazine, website Specialised newspaper and magazine, private report Academic studies, official report Data What everyone see when search data and information Made with
  9. 9. What you must see when you search for data and information Newspaper, magazine, website Specialised newspaper and magazine, private report Academic studies, official report Data Data & Sources Made with
  10. 10. Pros Newspaper, magazine, website Specilised newspaper and magazine, private report Academic studies, official report Data Read, read, read Data & Sources Cons    Not specialised Partial information for your project Not in-depth analysis Made with
  11. 11. Data & Sources Newspaper, magazine, website Specialised newspaper and magazine, private report Academic studies, official report Data Pros    Read, read, read Specialised editor Authority Cons Data availability, do it by yourself Private report could be partial Made with
  12. 12. Data & Sources Newspaper, magazine, website Specilised newspaper and magazine, private report Academic studies, official report Data Cons Data availability, do it by yourself Pros     High prestige Certified research In-depth analysis Check the sources Made with
  13. 13. Data & Sources Newspaper, magazine, website Specilised newspaper and magazine, private report Academic studies, official report Data      Primary sources Reliability Reusable Ready for analysis Geodata: shape, json, lat-long Pros Cons   Required data basic knowledge Sometimes dataset required cleaning actions Made with
  14. 14. Statistics Offices: International statistics Country statistics Open data MiBact & Local Tourism data Data & Sources data in depth Made with
  15. 15. Data & Sources Statistics Offices What you can find: International offices Check metadata, they have: methodology, how, when, who Publications Regional Reports Topics Reports Database Simple data visualizations Downloadable datasets Regional statistics from Country Made with
  16. 16. Data & Sources Statistics offices National offices US statistics departments have different bureau ordered by federal state, government level or topics What you can find: Publications Topic Reports Database Simple data visualization Downloadable datasets Check metadata, they have: methodology, how, when, who Made with
  17. 17. Data & Sources Open data 1. Make your stuff available on the Web (whatever format) under an open license 2. Make it available as structured data (e.g., Excel instead of image scan of a table) 3. Make it available in a non-proprietary open format (e.g., CSV instead of Excel) 4. Use URIs to denote things, so that people can point at your stuff 5. Link your data to other data to provide context 5 stars definition Made with
  18. 18. Data & Sources Open data Basic analysis but useful Complex analysis too Find causation and correlation Geodata: lat., long, json, shape Made with
  19. 19. Data & Sources Open data Czechia 341,049 France 180,079 Germany 175,662 United Kingdom 55,165 Poland 45,040 Spain 38,482 Italy 62,827 Austria 27,858 Ukraine 30,859 Eu institutions 25,246 Dataset available- Top 10 on eudataportal Eudataportal Source: eudataportal, 05/06/2020 Beginners Fast-tracker Followers Trend-setter Open data development Made with
  20. 20. Link Data & Sources MiBact & Local tourism data Mibact- statistics department Regional Apt Example: Apt Basilicata Made with
  21. 21. Data & Sources Geographical data: Regions, territories, museums, archoeological sites Earnings Tickets Tourist n. Services Regional Apt Sometimes require registration Territory details (area, province) Accomodation Tourist nationality Example: Apt Basilicata Mibact- statistics deparmtent Made with
  22. 22. Questions? An overview: why data are so important? How to choose data for a project? Statistics offices (international and local) Open data MiBact & Local tourism data Data & Sources Made with
  23. 23. Country Profile Swot analysis Collecting data 1. Choose: One european country One city A project topic Data & Sources 2. Search data or report in: EUROSTAT EUDATAPORTAL OECD UNESCO other primary source or official report Made with
  24. 24. 3. Create a country profile with main indicators Data & Sources On Monday, we will check togheter datasets and sources of your country profile and swot analysis. Country Profile Swot analysis Collecting data 4. Swot analysis 5. Collect data references (source, dataset, year, link) Made with
  25. 25. See you on monday danilo.supino@gmail.com Danilo Supino Further tips and information: Made with

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