Posted: November 27th, 2013 | Author: Sven | Filed under: EDaWaX, Workshop | Tags: Data Policies, Data Sharing, pilot application, Replication | 1 Comment »
A week ago our project held its final evaluation workshop. We presented the main results of some of our work packages and also introduced a beta version of our pilot application for the management of publication-related research data in journals.
In preparation of the workshop we invited more than 30 editors of scholarly journals and almost a dozen scientists from 15 journals accepted our invitation. Read the rest of this entry »
Posted: November 1st, 2013 | Author: Sven | Filed under: EDaWaX, Report | Tags: RDM, research data centres, WP3 | 2 Comments »
Our project currently has published the results of our work package 3 in which we analyzed the role of research data centres with regard to management of publication-related research data. This working paper presents the results of a survey among these scientific infrastructure service providers.
By conducting a desk research and an online survey, we found out that almost three quarters of all responding research data centres, archives and libraries generally store externally generated research data – what also applies to publication-related data.
Almost 75% of all respondents also store and host the code of computation (the syntax of statistical analyses). If self-compiled software components have been used to generate research outputs, only 40% of all respondents accept these software components for storing and hosting.
Eight in ten institutions also stated that they are taking specific actions for digital long-term preservation of their data. In regard to the documentation of stored and hosted research data almost 70% of all respondents claimed to use the metadata schema of the Data Documentation Initiative (DDI); Dublin Core was used by 30 percent (multiple answers were permitted). Almost two thirds also used persistent identifiers to facilitate citation of these datasets. Three in four respondents also stated to support researchers in creating metadata for their data. Application programming interfaces (APIs) for uploading or searching datasets currently have not been implemented by any of the respondents yet. Little widespread is the use of semantic technologies like RDF.
A German version of the paper is also available.
Photo: S. Vlaeminck. License: CC-BY-SA 3.0 DE