Advice on how data holders can "Open" their data
There are three basic rules recommended when "opening" data:
Start with a small dataset, simply and quickly. It is not a prerequisite that every dataset must be opened immediately. It is sufficient to start by opening just a part of the larger set. Of course, the more datasets that can be "opened", the better.
Remember that this is about innovation. It is important to evolve as quickly as possible. The faster you move, the better, because this means you are providing momentum and learning as you practice. Innovation is about failure as much as success, and this means that not every dataset will necessarily be useful.
Engage with real and potential users of the data, including those who reuse the data, as early and as often as possible, whether they are citizens, businesses or developers. This ensures that the next version of your service will be as targeted as possible.
It is essential to remember that much data will not reach end users directly, but only through information intermediaries. These are people who take the data and transform or remix it so it can be published. For example, most people do not want a large dataset with GPS coordinates, but would prefer a map. Thus, one engages with intermediaries, as they will use and review the material.
This is particularly important if working in or with large organizations such as government. When "opening" data, you will encounter many questions and fears. It is important (a) to identify the most important ones and (b) to address them at the earliest possible stage.
There are four main stages in converting data to open, each of which is covered in detail below. The order is approximate, as many of these steps can be covered simultaneously.
Choose the dataset you are going to "open". Keep in mind that you may (and may need to) return to this step if you encounter problems at a later stage.
Determine what intellectual property rights exist in the data.
Make your data available both in bulk in its original form and in a more useful form. You could also ensure that it is available in more alternative formats, such as through an API.
Publish it on the Internet and organize central catalogs where you will register the complete list of all open datasets you have.
The handbook deals with the legal, social and technical aspects of Open Data. It can be used by anyone, but is specifically designed for those who aim to "open" their data. It deals with the why, what and how of open data.
Read it online
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