Co-chaired by Rebecca Lawrence (F1000Research), Sunje Dallmeier-Tiessen (CERN) and David Baker (CASRAI)
A growing interest in enhanced metrics reflecting research data and software outputs is evident and reflected in a number of initiatives. A broad international working group, developed in conjunction with CASRAI and NISO, has been working to develop a proposal for how to capture different levels of dataset quality, as an important metric in the understanding and interpretation of data by researchers, repositories, institutions and funders. This workshop will summarise the first output of the working group and the proposals being made, with the aim of gaining feedback from a broad range of members of the data community to help in finalising the output so that they can be taken forward to the implementation stage.
The target audience is anyone involved in creating, storing, publishing or using scientific data, or in working to measure the impact of new datasets. The expected outcomes of the workshop are a set of recommendations and feedback from all sections of the data community on any problems and pitfalls of the proposed metrics, and also identification of interested parties in taking part in the implementation of the first use case once finalised.