11 Partnerships

We are looking for partners to develop our technological solution in financially sustainable way with bringing more and more relevant, curated open data to light.

11.1 Open Collaboration

We use the agile open collaboration project methodology of open source software development to make sure that large universities, consultancies, citizen scientists, individual artists and small NGOs can share the research budget, data assets and research of big data, and remain competitive against big tech and large organizations.

Our open collaboration is truly open: new data curators, data scientists and data engineers are welcome to join in.

Our open collaboration is truly open: new data curators, data scientists and data engineers are welcome to join. We develop open-source software in an agile way, so you can join in with an intermediate programming skill to build unit tests or add new functionality, and if you are a beginner, you can start with documentation and testing our tutorials. For business, policy, and scientific data analysts, we provide unexploited, exciting new datasets. Advanced developers can join our development team: the statistical data creation is mainly made in the R language, and the service infrastructure in Python and Go components.

11.2 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.

11.3 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.

11.4 Business Partners

"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.