Data sharing offers important benefits for scientific progress and advancement of knowledge. However, several limitations and barriers in the general adoption of data sharing are still in place. Probably the most important challenge is that data sharing is not yet very common among scholars and is not yet seen as a regular activity among scientists, although important efforts are being invested in promoting data sharing.
This report explores the possibilities of metrics for datasets and an effective reward system that connects with the interests of the stakeholders involved in the process. The report reviews the current literature on data sharing and data metrics and presents outcomes of interviews with the main stakeholders on data sharing and data metrics. Existing repositories and tools in the field of data sharing have been analysed that have special relevance for the promotion and development of data metrics.
Máire Geoghegan-Quinn, the European Commissioner of Research, Innovation and Science commented on this report: "The European Commission is committed to increase the impact of publicly-funded research through open access. We have already said this will be the default for publications arising from future EU funded research in Horizon 2020, and we are considering also a pilot project to explore ways to make research data open access too. We welcome all contributions to this debate and this report is very timely as we develop our ideas."
This report presents a first landscape study of creating and promoting data metrics. It also assesses the use of datasets in scientific work as a tool to stimulate data sharing. This report will be of interest not only for major stakeholders in science, but also for research funders and scientific institutions. It provides them with more knowledge about tools to promote and reward data sharing and data publication within their scientific communities. In this landscape study, all major stakeholders have been considered in order to summarize the main views, problems and challenges that need to be tackled in the development of metrics for datasets, and in the generalisation and promotion of data sharing activities.
The full report is available at http://www.knowledge-exchange.info/datametrics