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Open Science in practice in FP9

OpenAIRE has issued some recommendations for solidifying and advancing open science in FP9. 

FP9 is about carrying out research through mission oriented goals, co-creation and co-design, and is about responsible and reproducible research that provides sustainable approaches to societal problems in an ever growing arena of data where fact-checking and evidence policy are in the centre.

It is thus more important than ever to strengthen Open Science in its many incarnations and empower Europe via a collaborative approach to open infrastructures for open science, across all borders and all domains.

Read more



Why Open Access. How to comply. What services to use.
Data Providers

Data Providers

How to make your content more visible. What to do to increase quality. How to join.
Research Admins

Research Admins

How to monitor research results. What services to use for your needs.


Why align policies and practices. How to monitor and analyze results.


RT @eInfraCentral: Building the service catalogue of the European Open Science Cloud ! An invitation to European #einfrastructure and e-ser…

What is 'Open Research Data' ?

Research data can be extremely diverse: from spreadsheets, audio-visual materials, databases, to 3D-models and result lists from large experiments. Sizes may vary from a couple of small files related to a specific publication (‘long tail of research data’) to vast collections of experimental results (‘big data’), that can only be processed using specialized programmes. 

The need for adequate documentation and description is obvious, as reproducibility is the key factor when it comes to scientific research. Specialized repositories, such as Zenodo, have been established to collect and preserve datasets of all kinds, and possibly linking them to publications and projects related to the creation of the set. Collecting, describing, licensing and preserving data proves to be a big challenge, and experience with Research Data Management quickly becoming a sought-after asset for researchers and supporting staff.

Open Knowledge Foundation has defined Open Data in ‘The Open Definition’, as "machine-readable, available in bulk, and provided in an open format (i.e., a format with a freely available published specification which places no restrictions, monetary or otherwise, upon its use) or, at the very least, can be processed with at least one free/libre/open-source software tool."

See also: OpenAIRE Open Research Data Pilot Factsheet.

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