We are exploring how best to promote openness and reuse of data on a European level, and working on practical solutions.
Our research data expert group is working to create better conditions for open research data & striving to inform other stakeholders such as the EC
Many of the challenges involved in data sharing are common to all the Knowledge Exchange nations as well as to other European countries.
Our research data expert group is working to create better conditions for open research data and striving to inform other stakeholders such as the European Commission (EC). Our latest work includes:
A first landscape study of data metrics and of the use of datasets in science to stimulate data sharing.
This report should be of interest to all with an interest is research data, including individual scientists, funders, research institutions, universities and data centres. It provides information about tools to promote and reward data sharing and data publication within their scientific communities.
Sowing the seed incentives for data sharing
We have explored incentives that researchers themselves identify as encouraging data sharing in their own projects, aside from any official incentives that might be in place. All the researchers and research groups we interviewed have been sharing their data for various reasons and in some academic disciplines very influential community norms have developed that make data sharing standard practice. Our report includes recommendations for funders, research communities and policy makers, and provides valuable insight into data sharing.
Funding research data infrastructure
As data volumes grow and the demand for open data gets stronger, it is more and more obvious that the research community needs robust infrastructures. We have worked with Science Europe to commission a landscape study of the views of funders, infrastructure providers and research organisations about how funding should be organised. The study reveals the funding models that are already in place and highlights gaps and challenges. This work continues.
Training and skills for research data management (RDM)
We developed a workshop to ask some key questions about how training in RDM-related issues is being managed by institutions and stakeholder organisations. We are seeking to uncover best practice examples and examine whether significant differences in approach are evident in the five countries represented in KE. We will produce four outputs:
- a report on the status quo in Finland, Denmark, Germany, The Netherlands and the UK
- a list of available training materials across the five partner countries
- the identification of common training needs
- key recommendations