Disciplinary data publication guides (original) (raw)
Related papers
2018
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2008
Abstract This paper presents a discussion of the issues associated with formally publishing data in academia. We begin by presenting the reasons why formal publication of data is necessary, which range from simple fact that it is possible, to the changing disciplinary requirements. We then discuss the meaning of publication and peer review in the context of data, provide a detailed description of the activities one expects to see in the peer review of data, and present a simple taxonomy of data publication methodologies.
Briefing Paper: Disciplinary Differences In Opening Research Data
2016
The management and widespread sharing of publicly funded research data has gained significant momentum among governments, funders, institutions, journals and data service providers around the world. However, there is no 'one-size-fits-all' approach to open research data across academic disciplines. Different disciplines produce different types of data and have various procedures for analysing, archiving and publishing it. This briefing paper presents the current state of open research data across academic disciplines. It describes disciplinary characteristics inhibiting a larger take-up of open research data mandates. Additionally it presents the current strategies and policies established by funders, institutions, journals and data service providers alongside general data policies.
Processes and Procedures for Data Publication: A Case Study in the Geosciences
International Journal of Digital Curation, 2013
The Peer REview for Publication and Accreditation of Research Data in the Earth sciences (PREPARDE) project is a JISC and NERC funded project which aims to investigate the policies and procedures required for the formal publication of research data, ranging from ingestion into a data repository, through to formal publication in a data journal. It also addresses key issues arising in the data publication paradigm, including, but not limited to, issues related to how one peer reviews a dataset, what criteria are needed for a repository to be considered objectively trustworthy, and how datasets and journal publications can be effectively cross-linked for the benefit of the wider research community. PREPARDE brings together a wide range of experts in the research, academic publishing and data management fields both within the Earth Sciences and in the broader life sciences with the aim of producing general guidelines applicable to a wide range of scientific disciplines and data publication types. This paper provides details of the work done in the first half of the project; the project itself will be completed in June 2013.
Standardising and harmonising research data policy in scholarly publishing
2017
To address the complexities researchers face during publication, and the potential community-wide benefits of wider adoption of clear data policies, the publisher Springer Nature has developed a standardised, common framework for the research data policies of all its journals. An expert working group was convened to audit and identify common features of research data policies of the journals published by Springer Nature, where policies were present. The group then consulted with approximately 30 editors, covering all research disciplines, within the organisation. The group also consulted with academic editors and librarians and funders, which informed development of the framework and the creation of supporting resources. Four types of data policy were defined in recognition that some journals and research communities are more ready than others to adopt strong data policies. As of January 2017 more than 700 journals have adopted a standard policy and this number is growing weekly. To...
Citation and Peer Review of Data: Moving Towards Formal Data Publication
2011
Abstract This paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on the structures that need to be put in place for peer review and formal citation of datasets. Data publication is becoming increasingly important to the scientific community, as it will provide a mechanism for those who create data to receive academic credit for their work and will allow the conclusions arising from an analysis to be more readily verifiable, thus promoting transparency in the scientific process.
2020
Preparation of Guidelines for the formulation of scientific publishing policies of citing research data in scientific publications and for providing access to primary data on which scientific discussions are based is one of the goals of the Research Data Alliance (RDA) Node Slovenia. The Guidelines are intended for scientific publishers and editors of scientific journals to assist them in policy-making of the so-called open access to research data requirements as a starting point for the preparation of any journal-adapted guidance for authors, reviewers and editors. They are accompanied by an example of detailed instructions for authors, to which editorial boards may refer to authors when preparing their instructions and, where appropriate, direct authors to extract from their guidelines independent Explanations for understanding the policies of scientific publishers in providing access to primary data used in articles. We thank the Working Group of the RDA Node Slovenia and all par...
Austin, Claire C ; Bloom, Theodora ; Dallmeier-Tiessen, Sunje ; Khodiyar, Varsha ; Murphy, Fiona ; Nurnberger, Amy ; Raymond, Lisa ; Stockhause, Martina ; Tedds, Jonathan ; Vardigan, Mary ; Whyte, Angus (2016). International Journal of Digital Libraries, Special issue: Research Data Publishing. Pages 1-16. PURPOSE. Availability of workflows for data publishing could have an enormous impact on researchers, research practices and publishing paradigms, as well as on funding strategies and career and research evaluations. We present the generic components of such workflows in order to provide a reference model for these stakeholders. METHODS. The RDA-WDS Data Publishing Workflows group set out to study the current data publishing workflow landscape across disciplines and institutions. A diverse set of workflows were examined to identify common components and standard practices, including basic self-publishing services, institutional data repositories, long term projects, curated data repositories, and joint data journal and repository arrangements. RESULTS. The results of this examination have been used to derive a data publishing reference model comprised of generic components. From an assessment of the current data publishing landscape, we highlight important gaps and challenges to consider, especially when dealing with more complex workflows and their integration into wider community frameworks. CONCLUSIONS. It is clear that the data publishing landscape is varied and dynamic, and that there are important gaps and challenges. The different components of a data publishing system need to work, to the greatest extent possible, in a seamless and integrated way. We therefore advocate the implementation of existing standards for repositories and all parts of the data publishing process, and the development of new standards where necessary. Effective and trustworthy data publishing should be embedded in documented workflows. As more research communities seek to publish the data associated with their research, they can build on one or more of the components identified in this reference model.