rOpenGov, Reprex, and other open collaboration partners teamed up to build on our expertise of open source statistical software development further: we want to create a technologically and financially feasible data-as-service to put our reproducible research products into wider user for the business analyst, scientific researcher and evidence-based policy design communities. Our new release will help with automated economic impact and environmental impact analysis.
Open Data Day is an annual celebration of open data all over the world. It is an opportunity to show how open data can be used to connect different sources of information to generate new forms of knowledge. The availability of such data depends on encouraging the adoption of open data policies in government, business, and civil society. Reprex is a start-up that utilizes open data with open-source reproducible research. Please challenge us with your data requests and participate in our web events to show what open data can do for you.
People usually discover new music in their young age as they are forming their own personal identity with their peer group. The size of the music discovery population has changed dramatically across Europe in the last 30 years. We placed the data in the Demo Music Observatory.
We see much interest in our offering from other continents, therefore we truly welcome the opportunity that we can do this on a truly global business canvas in one of the worlds’ top five incubators, the number 2 university-backed incubator in the world, in the Yes!Delft AI+Blockchain Validation Lab.
We would like to validate our open source, open data, open collaboration based reproducible observatory concept with the Demo Music Observatory. All feedback is welcome.
The big day has come: the co-founders singed off the documents at the public notary and started the registration of a reproducible research start-up. Do you want to help us?
If your analytical work has used a certain type of data at least two times in the past, it is likely that the data will be needed again. This is a good time to make the data ingestion automatic and reproducible.