Is it possible to quantify the impact of Open Data? We could see above the range of benefits that Open Data can provide and some of them are hard to quantify. How can one put an exact price tag making an individual’s life easier or on improved decision making?
Models that estimate the economic impact of Open Data cannot provide accurate numbers but we believe that they are still useful. Trying to quantify the effect of cost savings or economic growth can lead to deeper thinking about where the published data can provide most value. Is such value significantly greater than the costs related to publishing it? If the answer is known to be positive, it should be a priority to publish such data as soon as possible. This is an investment with great payoff. Read More
Openness about what the government does and how it spends the public resources, is absolutely crucial to the proper functioning of an open and democratic society. Understanding and examination of government’s activities is only possible when it’s known what these activities are: when the public knows about the budgets and spending, when it knows about the plans and their implementation on all government levels, from local to national and international. Read More
There has been a lot of public discussion about Open Data in the recent years. The subject is being approached among others from the perspective of:
- policy (politicians)
- technology (by IT professionals)
- practical day-to-day utility (by regular citizens who use the apps enabled by Open Data).
Different stakeholders often have very different goals: The consumer would prefer to have all the data, the public organization is thinking about the costs/benefits and potential risks of publishing. Sometimes the parties speak in “different languages” (e.g. when politician doesn’t understand what the “IT guys” are saying) and therefore it’s often hard for them to understand each other and work together. When it’s understood what the main issues are from the perspective of everyone involved, it may be easier to work together on Open Data publishing and re-use.
Perhaps you, the reader, are in one of mentioned roles. We hope to provide you with a brief introduction, quick overview and a useful pointer to sources where you can learn more about the Open Data and its publishing by bringing you a Blog post series in the coming months. Read More
COMSODE Open Data methodology is intended mainly for data owners and publishers (mainly public bodies). This generic methodology for publishing open data provides answers to questions such as:
- How to identify unique resources in the datasets? How to reuse well known codebooks/vocabularies/ontologies (currencies, NUTS codes, ..)?
- In which formats the data should be published so that they are machine readable?
- How the data should be transformed (e.g. anonymized) before being published?
- Which descriptive and provenance metadata should be published together with the dataset (such as name, format, location/URL, source, responsible person)?
Methodology is made of 5 main building blocks: phases, cross-cutting activities, artefacts, roles and practices.
At Spinque Company we do not only like Open Data, we also like art. What better to combine them? In this post we illustrate how to use open data to enrich access to the art collection of the Rijksmuseum.
The Rijksmuseum in Amsterdam is one of the most famous museums in the world. The amazing collection of the museum is publicly available. You can search the collection at the Rijksmuseum Website and you can access the data through their API. The data contains artworks with descriptions (or annotations) provided by the cataloguers of the museum. Read More