Archives des mots-clés : research data

Cross-Linking Between Journal Publications and Data Repositories: A Selection of Examples

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“This article provides a selection of examples of the many ways that a link can be made between a journal article (whether in a data journal or otherwise) and a dataset held in a data repository. In some cases the method of linking is well established, while in others, they have yet to be rolled out uniformly across the journal landscape. We explore ways in which these examples might be implemented in a data journal, such as Geoscience Data Journal, as explored by the PREPARDE project.”

URL :  Cross-Linking Between Journal Publications and Data Repositories

Alternative URL : http://www.ijdc.net/index.php/ijdc/article/view/9.1.164

Guidelines on Recommending Data Repositories as Partners in Publishing Research Data

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“This document summarises guidelines produced by the UK Jisc-funded PREPARDE data publication project on the key issues of repository accreditation. It aims to lay out the principles and the requirements for data repositories intent on providing a dataset as part of the research record and as part of a research publication. The data publication requirements that repository accreditation may support are rapidly changing, hence this paper is intended as a provocation for further discussion and development in the future.”

URL : Guidelines on Recommending Data Repositories as Partners in Publishing Research Data

Alternative URL : http://www.ijdc.net/index.php/ijdc/article/view/9.1.152

Publishing and Pushing: Mixing Models for Communicating Research Data in Archaeology

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“We present a case study of data integration and reuse involving 12 researchers who published datasets in Open Context, an online data publishing platform, as part of collaborative archaeological research on early domesticated animals in Anatolia. Our discussion reports on how different editorial and collaborative review processes improved data documentation and quality, and created ontology annotations needed for comparative analyses by domain specialists. To prepare data for shared analysis, this project adapted editor-supervised review and revision processes familiar to conventional publishing, as well as more novel models of revision adapted from open source software development of public version control. Preparing the datasets for publication and analysis required significant investment of effort and expertise, including archaeological domain knowledge and familiarity with key ontologies. To organize this work effectively, we emphasized these different models of collaboration at various stages of this data publication and analysis project. Collaboration first centered on data editors working with data contributors, then widened to include other researchers who provided additional peer-review feedback, and finally the widest research community, whose collaboration is facilitated by GitHub’s version control system. We demonstrate that the “publish” and “push” models of data dissemination need not be mutually exclusive; on the contrary, they can play complementary roles in sharing high quality data in support of research. This work highlights the value of combining multiple models in different stages of data dissemination.”

URL : Publishing and Pushing: Mixing Models for Communicating Research Data in Archaeology

Alternative URL : http://www.ijdc.net/index.php/ijdc/article/view/9.1.57

Data Producers Courting Data Reusers: Two Cases from Modeling Communities

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“Data sharing is a difficult process for both the data producer and the data reuser. Both parties are faced with more disincentives than incentives. Data producers need to sink time and resources into adding metadata for data to be findable and usable, and there is no promise of receiving credit for this effort. Making data available also leaves data producers vulnerable to being scooped or data misuse. Data reusers also need to sink time and resources into evaluating data and trying to understand them, making collecting their own data a more attractive option. In spite of these difficulties, some data producers are looking for new ways to make data sharing and reuse a more viable option. This paper presents two cases from the surface and climate modeling communities, where researchers who produce data are reaching out to other researchers who would be interested in reusing the data. These cases are evaluated as a strategy to identify ways to overcome the challenges typically experienced by both data producers and data reusers. By working together with reusers, data producers are able to mitigate the disincentives and create incentives for sharing data. By working with data producers, data reusers are able to circumvent the hurdles that make data reuse so challenging.”

URL : Data Producers Courting Data Reusers

Alternative URL : http://www.ijdc.net/index.php/ijdc/article/view/9.1.98

The evolution of open access to research and data in Australian higher education

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“Open access (OA) in the Australian tertiary education sector is evolving rapidly and, in this article, we review developments in two related areas: OA to scholarly research publications and open data. OA can support open educational resource (OER) efforts by providing access to research for learning and teaching, and a range of actors including universities, their peak bodies, public research funding agencies and other organisations and networks that focus explicitly on OA are increasingly active in these areas in diverse ways. OA invites change to the status quo across the higher education sector and current momentum and vibrancy in this area suggests that rapid and significant changes in the OA landscape will continue into the foreseeable future. General practices, policies, infrastructure and cultural changes driven by the evolution of OA in Australian higher education are identified and discussed. The article concludes by raising several key questions for the future of OA research and open data policies and practices in Australia in the context of growing interest in OA internationally.”

URL : The evolution of open access to research and data in Australian higher education

Alternative URL : http://journals.uoc.edu/index.php/rusc/article/view/v11n3-picasso-phelan

Let’s Put Data to Use: Digital Scholarship for the Next Generation

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“The ways in which research data is used and handled continue to capture public attention and are the focus of increasing interest. Electronic publishing is intrinsic to digital data management, and relevant to the fields of data mining, digital publishing and social networks, with their implications for scholarly communication, information services, e-learning, e-business and the cultural heritage sector.

This book presents the proceedings of the 18th International Conference on Electronic Publishing (ELPUB), held in Thessaloniki, Greece, in June 2014. The conference brings together researchers and practitioners to discuss the many aspects of electronic publishing, and the theme this year is ‘Let’s put data to use: digital scholarship for the next generation’. As well as examining the role of cultural heritage and service organisations in the creation, accessibility, duration and long-term preservation of data, it provides a discussion forum for the appraisal, citation and licensing of research data and the new developments in reviewing, publishing and editorial technology.

The book is divided into sections covering the following topics: open access and open data; knowing the users better; researchers and their needs; specialized content for researchers; publishing and access; and practical aspects of electronic publishing.

Providing an overview of all that is current in the electronic publishing world, this book will be of interest to practitioners, researchers and students in information science, as well as users of electronic publishing.”

URL : Let’s Put Data to Use: Digital Scholarship for the Next Generation

Alternative URL : http://www.ebooks.iospress.nl/book/lets-put-data-to-use-digital-scholarship-for-the-next-generation

Ten Simple Rules for the Care and Feeding of Scientific Data

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“This article offers a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized. In just the past few years, hundreds of scholarly papers and reports have been written on questions of data sharing, data provenance, research reproducibility, licensing, attribution, privacy, and more—but our goal here is not to review that literature. Instead, we present a short guide intended for researchers who want to know why it is important to “care for and feed” data, with some practical advice on how to do that. The final section at the close of this work offers links to the types of services referred to throughout the text.”

URL : Ten Simple Rules for the Care and Feeding of Scientific Data

Alternative URL : http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003542