Posted: October 21st, 2014 | Author: Sven | Filed under: found on the net, journals, Research Data | Tags: academic publishing | Comments Off on Science established “Statistical Board of Reviewing Editors” to investigate data
In order to provide better oversight of the interpretation of observational data handed in to the journal along with manuscripts, Science established the Statistical Board of Reviewing Editors (SBoRE), which started working on 1st July, 2014.
The board consists of experts in various aspects of statistics and data analysis. Their task is to investigate manuscripts, in order to identify issues which need screening, and to suggest experts from the statistics community to examine that data. Editors, BoRE members (members of the BoRE – Board of Reviewing Editors – conduct a rapid quality check of the manuscripts and propose which of them should be reviewed by technical specialists), and reviewers can decide which manuscripts need additional examination of the data analysis or statistical treatment, which will then be handed in to the SBoRE. Read the rest of this entry »
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Posted: October 9th, 2014 | Author: Sven | Filed under: found on the net, Projects | Tags: academic publishing, Data Sharing, incentives, metrics | Comments Off on PLOS, CDL, and DataONE join forces to build incentives for data sharing
The open access publisher PLOS (Public Library of Science), the University of California Curation Center at the California Digital Library, and DataONE announced the launch of a new project to develop data-level metrics. The project, titled “Making Data Count: Developing a Data Metrics Pilot” is funded by the National Science Foundation (NSF) in the US. The project will result in a suite of metrics that track and measure data use.
The need for such a data metrics pilot is obvious: Sharing data is time consuming and researchers need incentives for undertaking the extra work. Metrics for data will provide feedback on data usage, views, and impact that will help encourage researchers to share their data. This project will explore and test the metrics needed to capture activity surrounding research data. Read the rest of this entry »
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