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Data lab for Company data as a national resource

Reference number
Coordinator Bolagsverket
Funding from Vinnova SEK 3 000 000
Project duration June 2019 - June 2021
Status Completed
Venture Data-driven innovation
Call Data lab and data factory as a national resource

Important results from the project

The goal was to create a lasting platform for digital innovation in the field of business data. The project aimed to investigate, establish & eventually manage a data lab. To make lab data, APIs & support available via the platform, conditions are created for the development of innovative services in collaboration with the business. The platform has been developed as a first version. Via the platform, it is possible to create a user account & access an API. Dialog taken with actors in the public & private sector as well as exchange of experience with data labs such as Biometria & trafiklab.

Expected long term effects

The data lab is a long-term effort that is established in several steps based on where the greatest needs and opportunities are. With the available API, we can offer the opportunity to test ideas in a simple way. A step towards creating & promoting innovation development & which contributes to increased use of our company information. With this as a starting point, we can continue to co-create with the business community, where there is innovative power & that can contribute to the work to achieve faster & better effect.

Approach and implementation

The project has been carried out in three phases: Investigation & analysis Roadmap & communication plan, framework for working methods & legal rules of the game. Mapping of stakeholders & needs, exchange of experience & external collaboration Development work Development of platform & technical solutions for collecting & making data available. Developed flow chart & architectural sketches Establishment & evaluation Establishment based on insights. Management strategy. Legal investigation of obstacles that make it difficult to reconcile the purpose of personal data processing

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 3 September 2021

Reference number 2019-02246