Expanding Scholarship: Research Journals and Data Linkages
- Research Data Management
- Jenny Muilenburg
University of Washington
The Rise of the Data Journal
- Marieke Guy
Digital Curation Centre, University of Bath
During 2012, a series of public announcements from the UK government (including the Finch report), The Royal Society, Research Councils UK, HEFCE and the European Commission strongly endorsed measures to make publicly-funded research output widely and freely available, including the data underpinning it. For researchers, making data accessible often involves publishing it in an institutional repository or discipline-specific data center. An increasing number of journals allow cross-linking and citing of datasets that have been deposited in approved data repositories and registered with a persistent identifier (such as a DOI). More recently, new journals have been launched specifically with the remit of publishing data articles, where data become the focus of the publication alongside a supporting narrative. Data can then go through scientific peer-review. This paper will look at the rise of this new innovative journal format, how it is reforming scholarly communications, policies and practices, and the implications for the research community. It will do so by considering relevant journals such as Gigascience and the Journal of Open Data in Archaeology and other work being carried out internationally in this area, such as the Dryad Joint Data Archiving Policy (JDAP), Jisc PREPARDE project and web-based research data publication tools.
Research Data Management in Economics Journals: Data Policies and Data Description as Prerequisites of Reproducible Research
- Sven Vlaeminck
ZBW - Leibniz Information Centre for Economics
Replication of research results is eminent for empirical science. But in disciplines like economics, replication is a vision rather than a reality. One reason for this is that research data are not available due to the lack of mandatory data policies and archives. Even if data is available, descriptions with sufficient metadata are often missing. Also the e-infrastructure for providing datasets and other materials is still underdeveloped and offers no features. Our talk focuses on academic journals in economics. We present some results of a study of more than 140 journals regarding their research data management and suggest good practices for data availability policies. Subsequently we propose concepts for improvements regarding the journals' e-infrastructures. In particular we are addressing the problem of metadata creation. Often, the creation of metadata is not accepted by researchers because it is too time consuming. On the other side it must be comprehensive enough for reproducibility purposes. Referring to this contradiction, we define different levels of metadata schemata dependent on the different purposes they should serve - from ensuring the citation of research data to the requirements for replications of data and results.
Prospects and Perspectives on the Role of Trustworthy Repository Standards' in Data Journal Publication
- Angus Whyte
Digital Curation Centre
Data journals are a focus for innovation in data sharing and publication, across a growing range of disciplines. They offer a number of significant opportunities to researchers, data centers/ repositories, institutions and publishers. We report on progress in the PREPARDE project, which is addressing key issues including the common ground between 'trustworthy' data repository standards and effective peer review of datasets. The project has an initial focus on earth science disciplines, and the Geoscience Data Journal, a partnership between the UK Royal Meteorological Society and Wiley-Blackwell, and involves major geoscience data centers in the UK and US. We discuss findings of an international interdisciplinary workshop, and its contribution to our aim of producing guidelines on a) dataset review criteria and the associated cross-repository workflows; and b) the roles of trusted repository standards e.g. the Data Seal of Approval and ISO16363 in supporting the peer review of data. These focus on how the responsibilities for both technical and scientific review of data can be met effectively through collaboration between the various stakeholders. These include research institutions, many of which are developing infrastructure for research data management to fulfill their policy obligations towards sharing publicly funded research data as a public good.