Open data has a huge asset for its public utility, as long as it is offered in standard and open digital formats, following a clear and easily understandable structure.
More and more organizations and institutions are sharing their data, and since there is no single place to find it, you need to know how to locate and manipulate it properly.
There are guides and help manuals available on the web to help you locate the open data you are interested in.eressen, as well as useful tools for capturing, processing, analyzing, publishing and visualizing them. Depending on its objective and characteristics, each tool can be used in one or more phases of the open data life cycle:
- Capture: are tools that allow you to capture data from a source or source, such as extracting data from a website by scrapping, importing tables,…
- Preprocessing: are the tools that help prepare the data for later analysis.
- Analysis: tools that allow you to extract knowledge from the data, such as detecting patterns in the data, creating models that explain the behavior of a certain variable,…
- Display: are the tools that generate visualizations of the data or the results obtained during their analysis, in order to show the extracted knowledge.
Here is a summary of the best open data processing tools from the experience of the UK, a leading country in data openness: Tools for the Open Data Challenge Series
