Data Access for the Open Access Literature: PLOS's Data Policy

Bloom, Theodora; Ganley, Emma; Winker, Margaret A.

doi:10.1371/journal.pmed.1001607

Cited by 51 publications

(49 citation statements)

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“…6. Reproducibility: Data citation has a profound impact on the reproducibility of science (Baggerly, 2010), a hot topic in many disciplines such as astronomy (Kurtz, 2012), biology (Bloom, Ganly, & Winker, 2014), physics, computer science (Ferro, 2017;Freire, Fuhr, & Rauber, 2016), and more. Lately, several authoritative journals have been requesting the sharing of data and the provision of validation methodologies for experiments (e.g., Nature Scientific Data and Nature Physics); these publications and the publishing industry in general see data citation as the means for providing new, reliable, and usable means for sharing and referring to scientific data.…”

Section: Why Data Citation: Motivationsmentioning

confidence: 99%

“…There are some viable solutions for relational databases (Bohlen, Gamper, Jensen, & Snodgrass, 2009) that may require improvements from the efficiency viewpoint and an effective solution for XML (Buneman, Khanna, Tajima, & Tan, 2004) that needs to be extended to work with time queries, whereas RDF-based versioning requires a major methodological advancement to be usable with time queries (Geerts, Unger, Karvounarakis, Fundulaki, & Christophides, 2016) in the data citation context. A first RDF versioning system for RDF data sets is proposed in Alawini et al (2017) even though time queries are not explicitly handled.…”

Section: Fixitymentioning

confidence: 99%

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Theory and practice of data citation

Silvello

2017

Asso for Info Science & Tech

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Citations are the cornerstone of knowledge propagation and the primary means of assessing the quality of research, as well as directing investments in science. Science is increasingly becoming "data-intensive," where large volumes of data are collected and analyzed to discover complex patterns through simulations and experiments, and most scientific reference works have been replaced by online curated data sets. Yet, given a data set, there is no quantitative, consistent, and established way of knowing how it has been used over time, who contributed to its curation, what results have been yielded, or what value it has. The development of a theory and practice of data citation is fundamental for considering data as first-class research objects with the same relevance and centrality of traditional scientific products. Many works in recent years have discussed data citation from different viewpoints: illustrating why data citation is needed, defining the principles and outlining recommendations for data citation systems, and providing computational methods for addressing specific issues of data citation. The current panorama is many-faceted and an overall view that brings together diverse aspects of this topic is still missing. Therefore, this paper aims to describe the lay of the land for data citation, both from the theoretical (the why and what) and the practical (the how) angle.

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Section: Why Data Citation: Motivationsmentioning

confidence: 99%

Section: Fixitymentioning

confidence: 99%

Theory and practice of data citation

Silvello

2017

Asso for Info Science & Tech

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“…Furthermore, increasing numbers of journals demand that the research data supporting articles they publish should be openly accessible. An example is the PLOS policy, which requires such research data to be openly available through an appropriate repository (Bloom 2013). This policy mandates that the research data should be recorded and deposited according to disciplinary standards, and it provides extensive references and links to discipline-specific bodies' data documentation requirements to support this.…”

Section: Data Curation and Quality Controlmentioning

confidence: 99%

Open Data and the Knowledge Society

Wessels¹,

Finn²,

Wadhwa³

et al. 2017

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While there is a lot of talk about how we now live in a knowledge society, the reality has been less impressive: We have yet to truly transition to a knowledge society-in part, this book argues, because discussion mostly focuses on a knowledge economy and information society rather than on ways to mobilise to create an actual knowledge society. That all may change, however, with the rise of open data and big data. This book considers the role of the open data movement in fostering transformation, showing that at the heart of any successful mobilisation will be an emerging open data ecosystem and new ways for societal actors to effectively produce and use data.

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“…In addition, since much research is publicly funded, there is strong argument for it to be freely available to the general public. An increasing number of peer-reviewed journals are making Open Data a requirement of publication, such as the PLOS family of journals [8].…”

Section: Open Datamentioning

confidence: 99%