The creative and cultural sectors and industries
are mainly made of networks of freelancers and microenterprises, with very few medium-sized companies. Their economic performance, problems, and innovation capacities are hidden. Our open collaboration to create this data observatory is committed to change this. Relying on modern data science, the re-use of open governmental data, open science data, and novel harmonized data collection we aim to fill in the gaps left in the official statistics of the European Union.
Download our short introduction.
We believe that introducing Open Policy Analysis
standards with open data, open-source software and research automation can help better understanding how
creative people and their enterprises and institutions add value to the European economy, how they create jobs, innovate, and increase the well-being of a diverse European society. Our collaboration is open for individuals, citizens scientists. Institutions can join as partners to the Consortium that maintains our observatory.
Get involved in services: our ongoing projects, team of contributors, open-source libraries and use our data for publications. See some use cases.
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Automated Data Services
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API to our data, our sources, how we process and validate it, how we increase its quality.
See what we are doing, why we are doing it, and how you can contribute.
International Open Data Day 2021:
Our peer-reviewed, open source statistical software packages
We believe that transparency is the key to the highest data quality. We use only open source software. We open up the critical elements of our software for peer-review.
We use open-source software, there is no vendor lock-in.
Our data products go through many, automated (unit) tests, replacing countless error-prone human validation working hours.
The critical elements of our code go through external validation and peer-review by computational statisticians and data scientists.
The goal of retroharmonize is to facilitate retrospective (ex-post) harmonization of data, particularly survey data, in a reproducible manner.
Our peer-reviewed, open source statistical software packages
Conversations with users, contributors and volunteers.