Abstract
The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.All data is in scope, whether born digital or converted from other sources.
Highlights
Scientific and technical communities recognize the importance of access to data, and yet a recent study into access versus importance of information indicates that of the various resources generated, from patent information to research articles, data sets remain the least accessible irrespective of region, organisation type, or discipline (Publishing Research Consortium, 2010).Critical review indicates that researchers have yet to be convinced of the merits of embedding data preservation and exchange into mainstream research
While MatDB Online has evolved over more than 30 years to incorporate the latest innovations in data preservation and exchange, such as XML-based data transfer and data citation using digital object identifiers, it continues to rely on a robust data model developed more than 30 years ago through the joint efforts of the National Research Institute for Metals, the European Commission Joint Research Centre, and the National Institute of Standards and Technology
MatDB Online is a sophisticated database for engineering materials test data that has benefited from many hundreds of person years invested in the development of a robust data model, comprehensive test support, and an intuitive user interface
Summary
Scientific and technical communities recognize the importance of access to data, and yet a recent study into access versus importance of information indicates that of the various resources generated, from patent information to research articles, data sets remain the least accessible irrespective of region, organisation type, or discipline (Publishing Research Consortium, 2010). One problem identified by a recent review of information use and exchange in the life sciences is that the technologies and tools developed by data management practitioners often fail to meet the requirements of the broader research community whom they are intended to serve (Research Information Network & the British Library, 2009). While ease of use and security are high on the requirements list of researchers, there is certainly an interest to share and reuse data Given this interest, and considering the very significant resources invested in generating engineering materials test data, it is reasonable to assume that the availability of well-designed data management systems has an important role to play in the realization of effective data management practices in the engineering sector
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
