Economy Data Observatory

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Economy Data Observatory

Big data and automation create new inequalities and injustices and has a potential to create a jobless growth. Our Economy Data Observatory is a fully automated, open source, open data observatory that produces new indicators from open data sources and experimental big data sources, with authoritative copies and a modern API.

Our observatory is monitoring the European economy to protect the consumers and the small companies from unfair competition both from data and knowledge monopolization and robotization. We take a critical SME-, intellectual property policy and competition policy point of view automation, robotization, and the AI revolution on the service-oriented European social market economy.

We would like to create early-warning, risk, economic effect, and impact indicators that can be used in scientific, business and policy contexts for professionals who are working on re-setting the European economy after a devastating pandemic and in the age of AI. We would like to map data between economic activities (NACE), antitrust markets, and sub-national, regional, metropolitian area data.

Get involved in services: our ongoing projects, team of contributorsopen-source libraries and use our data for publications. See some use cases.

Follow news about us or the more comprehensive Data & Lyrics blog.

Contact us .

Our data observatory is competing in the EU Datathon 2021. We believe that introducing Open Policy Analysis standards with open data, open-source software and research automation can help the economy that works for people, particulartly the challenge we are focusing on the Single market strategy. Our collaboration is open for individuals, citizens scientists, research institutes, NGOS, companies.


Curated by:
antaldaniel
Curation policy:

We are going to publish here all curated data from the Digital Music Observatory, and we are looking for data related to the topic.  

- The data must be tidy, with all observations in rows, and all variables in columns.
- The data should be clearly described, and if possible, be reproducible with R or Python program code.
- If the dataset is not reproducible, we will try to make it reproducible with the author of the submitted dataset. 
 

Created:
May 19, 2021
Harvesting API:
OAI-PMH Interface

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