Automated Data Observatories

Automated Data Observatories

Automated data observatory

Reprex

rOpenGov

Yes!Delft AI+Blockchain Validation Lab

We ensure that individual researchers, artists, and professionals, as well as NGOs and small and large organizations can benefit equally from big data in the age of artificial intelligence.

[The Data Sisyphus](/post/2021-07-08-data-sisyphus/)Poor metadata management causes much repeated tasks, errors, non-billable hours and uncredited work.
The Data Sisyphus
Poor metadata management causes much repeated tasks, errors, non-billable hours and uncredited work.
[Open Data](/post/2021-06-18-gold-without-rush/)Open data cannot be just 'downloaded'. It is not ready-to-use, and often not even public.
Open Data
Open data cannot be just ‘downloaded’. It is not ready-to-use, and often not even public.
[Trustworthy AI](/post/2021-05-16-recommendation-outcomes/)What can go wrong with the algorithm? Finding unwanted outcomes and correcting them in complex systems.
Trustworthy AI
What can go wrong with the algorithm? Finding unwanted outcomes and correcting them in complex systems.
[Research Automation](/post/2020-09-11-creating-automated-observatory/)Repeaded data processing and validation steps are best made, documented, logged by computers.
Research Automation
Repeaded data processing and validation steps are best made, documented, logged by computers.
[Data](/services/data-curation/) [Curation](/services/data-curation/)Data sits everywhere and it is not easy to find even at home. Our curators know where to dig.
Data
Curation
Data sits everywhere and it is not easy to find even at home. Our curators know where to dig.
[Professional Data Processing](/data/open-gov/#is-there-value-left-in-open-data)Uncut diamonds need to be polished. Data is only potential information, raw and unprocessed.
Professional Data Processing
Uncut diamonds need to be polished. Data is only potential information, raw and unprocessed.
[Metadata: Documentation & Codebooks](/services/metadata/)Adding FAIR metadata exponentially increases the value of data. We use DataCite and SDMX statistical coding.
Metadata: Documentation & Codebooks
Adding FAIR metadata exponentially increases the value of data. We use DataCite and SDMX statistical coding.
[Data-as-Service](/services/data-as-service/)Reusable, easy-to-import, interoperable, always fresh data in tidy formats with a modern API.
Data-as-Service

Reusable, easy-to-import, interoperable, always fresh data in tidy formats with a modern API.

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

Get involved in services: our ongoing projects, team of contributors, open-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 Product/Market Fit was validated in the world’s 2nd ranked university-backed incubator program, the Yes!Delft AI Validation Lab.

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