Research Data Metrics for datasets; the first landscape study on the assessment of use and impact of datasharing in scientific work from a cultural and technical point of view

See on Scoop.itDual impact of research; towards the impactelligent university

Knowledge Exchange presents landscape report on where metrics can play a role in making research data available. The report ’The Value of Research Data – Metrics for datasets from a cultural and technical point of view’ recommends that data sharing and data publication should be more broadly adopted among scholars. To support this a reward system should be developed for scientists that includes data metrics. Other important steps to be taken are that the costs of data publication should be reduced and the existing negative perceptions of researchers regarding data publication should be addressed. Standards will need to be developed for preservation, publication, identification and citation of datasets. The report was commissioned by Knowledge Exchange and written by Rodrigo Costas, Ingeborg Meijer and Paul Wouters from the Centre for Science and Technology Studies at the Unversity of Leiden. 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. Source:The Value of Research DataMetrics for datasets from a cultural and technical point of viewRodrigo Costas, Ingeborg Meijer, Zohreh Zahedi and Paul Wouters
Center for Science and Technology Studies (CWTS). Leiden University. 2013 Fulltext is here: 
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About Wilfred Mijnhardt
RMIMR is my virtual playground, a place to reflect on issues from my professional context, my job as Policy Director at Rotterdam School of Management, Erasmus University (RSM). RSM is the international university based business school at Erasmus University Rotterdam. More info here: Here is my list of relevant publications on the topic of my RMIMR weblog: The rss feed for my RMIMR collection is here: Here is my other weblog on impact of research:

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