ITELLIGENT

How to start a Data Space: framework and guides for implementation.

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Redacción, ITELLIGENT
24/07/2024

When starting a Data Space, we recommend a couple of resources that will help analyze its feasibility. Moreover, these resources allow us to conduct this analysis in a guided and simple way. Let’s take a look at them.

First and foremost, it’s important to note that a data space only makes sense if there are at least two entities with a use case that requires data sharing. With this premise in mind, we share below two resources we frequently use for the preliminary analysis of data space projects.

The Data Cooperation Canvas

The Data Cooperation Canvas was developed by the consulting firm Braxwell and the city of Amsterdam and is an Open Data resource. At ITELLIGENT, we have translated it into Spanish (download it here). This Data Cooperation Canvas allows you to analyze all the fundamental elements for data cooperation, which are the same elements needed for a Data Space. The creation of the Canvas only requires a high-level analysis, which is suitable for evaluating the feasibility of a Data Space project with a reasonable effort. Additionally, the format of this Canvas (just one page) is particularly useful for presenting the project to potential stakeholders, providing a double benefit.

Data Office Guides

Another fantastic resource is the two guides published by the Data Office (download here). These guides are two Excel files that allow you to answer the different aspects needed to assess the feasibility of a data-sharing use case in a simple and guided way. Once feasibility is confirmed, the second guide helps design the use case.

Use Case Design Guide

Use Case Design Guide

Use Case Feasibility Assessment Guide

Use Case Feasibility Assessment Guide

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