Enabling data reuse: case study of an institutional repository, Edinburgh DataShare

This blog post is authored by Robin Rice, Data Librarian and Head, Research Data Support, University of Edinburgh. https://www.linkedin.com/in/robinrice/ Edinburgh DataShare is an institutional research data repository, which serves as the Open Access archiving solution of the University of Edinburgh's Research Data Service. It was established in 2008 as a proof of concept and became a funded part of the broader service in 2012. Based on open source repository platform, ...

Continue reading

Case study in sensitive data: FAIR4Health

This blog post is authored by S. Venkataraman (DCC) in the framework of the RDM task force's "Data Reuse" working group. Introduction  Not all data can be easily reused, if at all. These usually arise from sources that need to maintain confidentiality based on a number of factors that could lead to the identification of individuals or other sensitive information. In these cases, different measures need to be taken to ensure the protection of identities. Meanwhile, the FAIR princip...

Continue reading

New educational website on FAIR research data released

On the 3rd of July 2020 a new website was released which takes a deep dive into the practicalities of making FAIR research data. The site is conceived as a blended learning resource targeted at researchers in all disciplines and the goal is to show how they can make their own research data more FAIR through real life examples from the Humanities, Social, Natural, and Health Sciences. The site is based on written explanations garnished with video testimonials from 9 different researchers and scie...

Continue reading

Services to Support FAIR Data: From Recommendations to Actions

The recommendations from previous workshops can be organised in 7 categories: CertificationEssential infrastructure componentsStewardshipCostsRewardsCollaboration and supportData Management The full draft report, provided by OpenAIRE, FAIRsFAIR, RDA Europe, FREYA, EOSC-hub can be found here. Earlier this year, two workshops were held to formulate recommendations on how services and infrastructures can better support the implementation of the FAIR data principles1. The input and conclusions from ...

Continue reading

How to make your data Open and FAIR?

Ilona von Stein, project leader and policy officer at DANS, writes about the importance of Data Management Training. What would happen if your data is not trusted by your own research community? What if your research community generates 2 petabyte of raw data per day, and and needs to share it between institutions? What if reuse of your data takes place in computational workflows, but data archives do not provide formats and annotations to support this? And what if you cannot find...

Continue reading

Fair data management: best practices and open issues - 14-15 November, Florence, Italy

A two day workshop was held in Florence on November 14th -15th on  sharing, reuse, and reproducibility, curation of  research data. OpenAIRE-Italy (CNR-ISTI and NOAD) was strongly engaged in organizing the event, promoted and sponsored by RDA Europe in collaboration with the universities of Turin, Milan, Bologna, Parma and with the patronage of AISA - the Italian Association for the promotion of Open Science. In light of the FAIR principles and their recent adoption in the EC Guideline...

Continue reading

OpenAIRE
flag black white lowOpenAIRE-Advance receives
funding from the European 
Union's Horizon 2020 Research and
Innovation programme under Grant
Agreement No. 777541.

Subscribe

  Unless otherwise indicated, all materials created by OpenAIRE are licenced under CC ATTRIBUTION 4.0 INTERNATIONAL LICENSE.
OpenAIRE uses cookies in order to function properly. By using the OpenAIRE portal you accept our use of cookies.