Is there are a theory, division, classification or taxonomy schema for open data? With classes like "fiscal" and "utility".
Explaining and illustrating
Perhaps "utility" (or "public utility" or day by day util data) is not the correct term... I will try to explain: public utility open data are the input for innovation and improving the quality, of private and public services. Some examples show better the concept:
- Postcodes: all people need, all the time we need the same database... So, it is util for us. The open data is the list of all postcodes of a country.
- Data Packaged Core Datasets: each dataset (of this project) is a set of util data.
- Words: all people need... The open data is the list of all words, or any other more complex structure like a dictionary.
- Digital street lines: OSM has a repo with "very util data" (!).
"Fiscal data" perhaps, also, is not the correct term (perhaps audit is a better name), but some examples show the concept:
- Data of the IUCN Red List
- Data of spending reports (ex. UK)
- Data of the Corruption Perceptions Index
- Data from Wikileaks
Of course, a dataset can be both, "util" and "fiscal", so in a classification schema they are like "root facets".
notes
Historically OpenData activism started as "fiscal" (with activists working in data scraping for audit the data)... Today Open Data community also is investing in cleansing, organize and standardize util data, for open collective/collaborative use.
