6 Partnerships

We are looking for policy partners to win the EU Datathon Challenges.

“To take part, you should propose the development of an application that links and uses open datasets. Your application should showcase opportunities for concrete business models or social enterprises. It is also expected to find suitable new approaches and solutions to help Europe achieve important goals set by the European Commission through the use of open data.”

We are planning to contest 2 or 3 of the challenges with our automated data observatories, and we are particularly looking for public and NGO policy partners who have an interest in these topics: European Green Deal, and Digital Age, particularly with the European Data Governance Act, Digital Services Act, and their impact on creative industries and their audiences.

Data observatories are recognized terms by the EU, OECD, and UNESCO to create long-term data collection, processing, and dissemination programs. The EU alone currently (co-)finances about 60 such programs which are often managed by large consultancies or research universities. Having reviewed more than 70 of these publicly funded data programs, we realized that none of them utilizes open data.

Our understanding of the problem is that both governmental open data (released under the EU Open Data Directive) and scientific open data is processed for an original use. It does not follow any processing standards, and usually comes without proper documentation. We have been developing research automation solutions to overcome these problems: peer-reviewed, open-source software that re-processes, documents, and validates various forms of open data. Our two demo applications are processing many previously unused open data sources – one is a demo for the planned European Music Observatory (with a projected budget of around 9 million euro) and the other is the future Green Deal Data Observatory.

The EU Datathon prize is a very prestigious prize that requires showcasing a concrete business case. We want to demonstrate, along with our partners, that we can reduce the data acquisition costs of publicly-funded research projects, as well as the private research costs of a big consultancy, partly through a higher use of open data, and partly via automated, not-billed or not-credited hours of manual data validation, documentation, and error-prone manual processing.

6.1 Policy Partners

We are looking for policy partners who want to use open data from various governmental (including publicly funded surveys), scientific, and big data sources, processed and validated to meet scientific standards; or who want to build use cases for trustworthy AI and data governance policy papers. We provide peer-reviewed statistical software solutions, daily data harvesting, and re-processing to meet our partners’ research agenda.

In return, we ask academic partners to: 1. Help us curate data – tell us what sort of information is missing for their research agenda, and select what is valuable and what is not; 2. Use our validated, correctly documented, open datasets, identified with DOIs (possibly with an embargo period) in their peer-reviewed scientific output; 3. Support the growth of our data observatories by including them in their data acquisitions plans; 4. Publicly endorse with testimonials the observatory they use for the EU Datathon Prize.

6.2 Academic Partners

We are looking for academic partners who want to use open data from various governmental (including publicly funded surveys), scientific, and big data sources, processed and validated to meet scientific standards. We provide peer-reviewed statistical software solutions, daily data harvesting, and re-processing to meet our partners research agenda.

In return, we ask academic partners to

  1. Help us curate data – tell us what sort of information is missing for their research agenda, and select what is valuable and what is not;
  2. Use our validated, correctly documented, open datasets, identified with DOIs (possibly with an embargo period) in their peer-reviewed scientific output;
  3. Support the growth of our data observatories by including them in their data acquisitions plans;
  4. Publicly endorse with testimonials the observatory they use for the EU Datathlon Prize.

6.3 Business Partners

We are looking for business partners to win the EU Datathon Challenges.

"To take part, you should propose the development of an application that links and uses open datasets. Your application should showcase

We are looking for a consulting partner to form a joint project with our open collaboration team of data scientists and submit proposals to at least 2 of the 3 challenges of the EU Datathlon with the objective of winning the first prize. We are particularly looking for a first class consultancy to help build a “showcase … for concrete business models [… and] find suitable new approaches and solutions to help Europe achieve important goals set by the European Commission through the use of [our observatories’] open data.”

Because of the way the challenge is formulated, winning the prize gives a natural advantage for our consulting partner to win future policy consulting work in the three strategic objective areas of the European Commission. Furthermore, we believe that our research automation technology and know-how can significantly reduce non-billable hours in research and validation, as well as in sales preparation and re-sale.

The partners of the Datathon Challenge are important EU and member state organizations, including the World Bank Group, FAO of the United Nations, the European Central Bank, the EU IP Office, and EFTA. We believe that winning this prize could give a competitive edge for our partners, given the high profile and rigor of the competition.