In order to create better value and promote reuse of open data there is a need for a systematic approach to review different open data and API services provided by data owners and suppliers. Open data has the potential to generate viable services, efficiency trough reuse, innovation and community involvement. Although several studies suggests that this potential is not being used to full extent. Which means that economic and social values are being lost, and the cost of maintaining these open data sources could be put to better use elsewhere.
The review protocol is divided into a number of categories linked to areas expressed in W3C best practice guide for open data. Within each category, there are a number of evaluation tasks with a maximum score that reflects how well the owner or provider of open data reflects good practice. Each category has a total score that can be awarded, which together represent a total sum that a owner or supplier may receive. The purpose of the tests is to provide an indication of the usability and accessibility of the open data source from an external user perspective.
Following categories are included in the review;
- Licensing and impartial usage
- Support and documentation
- Accessibility and API structure
- Dataformat and quality
Last Updated on 2020-10-21