A Practical Approach to Data Citation: The Special Interest Group on Data Citation and Development of the Quick Guide to Data Citation

Mooney, Hailey

doi:10.29173/iq240

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…Their Data Citation Index appears to be heavily oriented towards the natural sciences (Torres-Salinas, Martín-Martín and Fuente-Gutiérrez, 2014). Taking into consideration that style guides and normative practices do not universally embrace data citation, while there is a relative proliferation of various data citation suggestions, the goal of the IASSIST Quick Guide was identify the essential elements and provide practical examples in common referencing styles (Mooney, 2013). From the review paper by MacMillan (2014), it becomes clear that data citation mechanisms based on persistent identifiers like Digital Object Identifiers (DOIs) may facilitate data discovery and interoperability with the scholarly literature Peroni et al (2015) describe the possible outlook and advantages of the Open Citation Corpus (OCC), which is a new open repository of scholarly citation data.…”

Section: The Problems Of Data Citationmentioning

confidence: 99%

“…Their Data Citation Index appears to be heavily oriented towards the natural sciences (Torres-Salinas et al, 2014). Taking into consideration that style guides and normative practices do not universally embrace data citation, while there is a relative proliferation of various data citation suggestions, the goal of the IASSIST Quick Guide was to identify the essential elements and provide practical examples in common referencing styles (Mooney, 2013).…”

Section: The Problems Of Data Citationmentioning

confidence: 99%

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Data literacy for researchers and data librarians

Koltay

2016

Journal of Librarianship and Information Science

118

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This paper describes data literacy and emphasizes its importance of data literacy. Data literacy is vital for researchers, who need to become data literate science workers and also for (potential) data management professionals. Its important characteristic is a close connection and similarity to information literacy. To support this argument, a review of literature was done on the importance of data, and the data-intensive paradigm of scientific research, researchers' expected and real behaviour, the nature of research data management, the possible roles of the academic library, data quality and data citation, Besides describing the nature of data literacy and enumerating the related skills, the application of phenomenographic approaches to data literacy and its relationship to the digital humanities have been identified as subjects for further investigations.

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Section: The Problems Of Data Citationmentioning

confidence: 99%

Section: The Problems Of Data Citationmentioning

confidence: 99%

Data literacy for researchers and data librarians

Koltay

2016

Journal of Librarianship and Information Science

118

View full text Add to dashboard Cite

show abstract

“…Data citation, meaning a direct link or reference to a data source, as distinct from citing an article that uses data, is increasingly recommended as a way of ensuring the discoverability and reusability of research data supporting published articles [ 1 – 3 ]. Enhanced data citation with machine-actionable links can support a more complex ecosystem of scholarship that makes a wider range of types of publications and discussions available [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Research Data in Core Journals in Biology, Chemistry, Mathematics, and Physics

Womack

2015

PLoS ONE

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This study takes a stratified random sample of articles published in 2014 from the top 10 journals in the disciplines of biology, chemistry, mathematics, and physics, as ranked by impact factor. Sampled articles were examined for their reporting of original data or reuse of prior data, and were coded for whether the data was publicly shared or otherwise made available to readers. Other characteristics such as the sharing of software code used for analysis and use of data citation and DOIs for data were examined. The study finds that data sharing practices are still relatively rare in these disciplines’ top journals, but that the disciplines have markedly different practices. Biology top journals share original data at the highest rate, and physics top journals share at the lowest rate. Overall, the study finds that within the top journals, only 13% of articles with original data published in 2014 make the data available to others.

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Facing the Challenge of Data-Intensive Research: Research Data Services and Data Literacy in Academic Libraries

Koltay¹

2016

Advances in Library Administration and Organization

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A Practical Approach to Data Citation: The Special Interest Group on Data Citation and Development of the Quick Guide to Data Citation

Abstract: A Practical Approach to Data Citation: The Special Interest Group on Data Citation and Development of the Quick Guide to Data Citation

Cited by 5 publications

References 5 publications

Data literacy for researchers and data librarians

Data literacy for researchers and data librarians

Research Data in Core Journals in Biology, Chemistry, Mathematics, and Physics

Facing the Challenge of Data-Intensive Research: Research Data Services and Data Literacy in Academic Libraries

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