scholarly journals Analyzing data citation practices using the data citation index

2015 ◽  
Vol 67 (12) ◽  
pp. 2964-2975 ◽  
Author(s):  
Nicolas Robinson-García ◽  
Evaristo Jiménez-Contreras ◽  
Daniel Torres-Salinas
Keyword(s):  
Citation Index ◽  
Data Citation ◽  
Citation Practices

Data Documents

2021 ◽  
Vol 48 (4) ◽  
pp. 307-328
Author(s):  
Dominic Farace ◽  
Hélène Prost ◽  
Antonella Zane ◽  
Birger Hjørland ◽  
◽  
...  
Keyword(s):  
Citation Index ◽  
The Other ◽  
Data Sets ◽  
Bibliometric Data ◽  
Model Data ◽  
Other Hand ◽  
Data Citation ◽  
Philosophical Assumption ◽  
The One

This article presents and discusses different kinds of data documents, including data sets, data studies, data papers and data journals. It provides descriptive and bibliometric data on different kinds of data documents and discusses the theoretical and philosophical problems by classifying documents according to the DIKW model (data documents, information documents, knowl­edge documents and wisdom documents). Data documents are, on the one hand, an established category today, even with its own data citation index (DCI). On the other hand, data documents have blurred boundaries in relation to other kinds of documents and seem sometimes to be understood from the problematic philosophical assumption that a datum can be understood as “a single, fixed truth, valid for everyone, everywhere, at all times”

scholarly journals Assessing value of biomedical digital repositories

2017 ◽  
Author(s):  
Chun-Nan Hsu ◽  
Anita Bandrowski ◽  
Jeffrey S. Grethe ◽  
Maryann E. Martone
Keyword(s):  
Research Community ◽  
Digital Repository ◽  
Digital Repositories ◽  
Data Citation ◽  
Funding Agencies ◽  
Quality Aspects ◽  
Resource Identification ◽  
Citation Practices ◽  
Information Framework ◽  
Neuroscience Information Framework

Digital repositories bring direct impact and influence on the research community and society but measuring their value using formal metrics remains challenging. their value. It is challenging to define a single perfect metric that covers all quality aspects. Here, we distinguish here between impact and influence and discuss measures and mentions as the basis of quality metrics of a digital repository. We argue that these challenges may potentially be overcome through the introduction of standard resource identification and data citation practices. We briefly summarize our research and experience in the Neuroscience Information Framework, the BD2K BioCaddie project on data citation, and the Resource Identification Initiative. Full implementation of these standards will depend on cooperation from all stakeholders --- digital repositories, authors, publishers, and funding agencies, but both resource and data citation have been gaining support with researchers and publishers.

scholarly journals Assessing value of biomedical digital repositories

2017 ◽  
Author(s):  
Chun-Nan Hsu ◽  
Anita Bandrowski ◽  
Jeffrey S. Grethe ◽  
Maryann E. Martone
Keyword(s):  
Research Community ◽  
Digital Repository ◽  
Digital Repositories ◽  
Data Citation ◽  
Funding Agencies ◽  
Quality Aspects ◽  
Resource Identification ◽  
Citation Practices ◽  
Information Framework ◽  
Neuroscience Information Framework

Digital repositories bring direct impact and influence on the research community and society but measuring their value using formal metrics remains challenging. their value. It is challenging to define a single perfect metric that covers all quality aspects. Here, we distinguish here between impact and influence and discuss measures and mentions as the basis of quality metrics of a digital repository. We argue that these challenges may potentially be overcome through the introduction of standard resource identification and data citation practices. We briefly summarize our research and experience in the Neuroscience Information Framework, the BD2K BioCaddie project on data citation, and the Resource Identification Initiative. Full implementation of these standards will depend on cooperation from all stakeholders --- digital repositories, authors, publishers, and funding agencies, but both resource and data citation have been gaining support with researchers and publishers.

scholarly journals Efficacy of praziquantel has been maintained over four decades (from 1977 to 2018): A systematic review and meta-analysis of factors influence its efficacy

2021 ◽  
Vol 15 (3) ◽  
pp. e0009189
Author(s):  
Mizuho Fukushige ◽  
Margo Chase-Topping ◽  
Mark E. J. Woolhouse ◽  
Francisca Mutapi
Keyword(s):  
Systematic Review ◽  
Web Of Science ◽  
Citation Index ◽  
Meta Analysis ◽  
Random Effect ◽  
Reduction Rate ◽  
Epidemiological Studies ◽  
Drug Dose ◽  
Drug Of Choice ◽  
Data Citation

Background The antihelminthic drug praziquantel has been used as the drug of choice for treating schistosome infection for more than 40 years. Although some epidemiological studies have reported low praziquantel efficacy in cure rate (CR) and/or egg reduction rate (ERR), there is no consistent robust evidence of the development of schistosome resistance to praziquantel (PZQ). There is need to determine factors that lead to variable treatment CR and/or ERR. Therefore, we conducted a systematic review and meta-analysis to review CR and ERR as well as identify their predictors. Methodology/Principal findings In this systematic review and meta-analysis, a literature review was conducted using Biosis Citation Index, Data Citation Index, MEDLINE, and Web of Science Core Collection all of which were provided through Web of Science. Alongside these, EMBASE, and CAB abstracts were searched to identify relevant articles. Random effect meta-regression models were used to identify the factors that influence CR and/or ERR by considering differences in host characteristics and drug dose. In total, 12,127 potential articles were screened and 146 eligible articles (published from 1979 to 2020) were identified and included for the meta-analysis. We found that there has been no significant reduction in CR or ERR over the study period. The results showed more variability in CR, compared with ERR which was more consistent and remained high. The results showed a positive effect of “PZQ treatment dose” with the current recommended dose of 40 mg/kg body weight achieving 57% to 88% CR depending on schistosome species, age of participants, and number of parasitological samples used for diagnosis, and ERR of 95%. Conclusions/Significance Based on a review of over 40 years of research there is no evidence to support concerns about schistosomes developing resistance to PZQ. These results indicate that PZQ remains effective in treating schistosomiasis.

scholarly journals Assessing value of biomedical digital repositories

2017 ◽  
Author(s):  
Chun-Nan Hsu ◽  
Anita Bandrowski ◽  
Jeffrey S. Grethe ◽  
Maryann E. Martone
Keyword(s):  
Research Community ◽  
Digital Repository ◽  
Digital Repositories ◽  
Data Citation ◽  
Funding Agencies ◽  
Quality Aspects ◽  
Resource Identification ◽  
Citation Practices ◽  
Information Framework ◽  
Neuroscience Information Framework

Digital repositories bring direct impact and influence on the research community and society but measuring their value using formal metrics remains challenging. their value. It is challenging to define a single perfect metric that covers all quality aspects. Here, we distinguish here between impact and influence and discuss measures and mentions as the basis of quality metrics of a digital repository. We argue that these challenges may potentially be overcome through the introduction of standard resource identification and data citation practices. We briefly summarize our research and experience in the Neuroscience Information Framework, the BD2K BioCaddie project on data citation, and the Resource Identification Initiative. Full implementation of these standards will depend on cooperation from all stakeholders --- digital repositories, authors, publishers, and funding agencies, but both resource and data citation have been gaining support with researchers and publishers.

scholarly journals Data Citation Index

2016 ◽  
Vol 104 (1) ◽  
pp. 88-90 ◽  
Author(s):  
Laura L. Pavlech
Keyword(s):  
Citation Index ◽  
Data Citation

scholarly journals Elevating MAST-Data Publications with Digital Object Identifiers (DOIs)

2018 ◽  
Vol 186 ◽  
pp. 10003
Author(s):  
Jenny Novacescu ◽  
Josh E.G. Peek ◽  
Sarah Weissman ◽  
Karen Levay ◽  
Scott Fleming ◽  
...  
Keyword(s):  
Linked Data ◽  
Original Research ◽  
Data Sets ◽  
Digital Object ◽  
Journal Editors ◽  
Precise Data ◽  
Data Citation ◽  
Peer Reviewers ◽  
Citation Practices ◽  
Highly Cited

The use of digital object identifiers (DOIs) to identify data sets used in original research allows peer reviewers and journal editors to more easily validate research methods and verify results. Fellow astronomers can duplicate results or expand on initial findings when the precise data used in a research project are identified. Precise identification of data may allow archives and observatories to better understand how the community is accessing and combining its data to reach new scientific conclusions. Earlier studies have suggested that papers with linked data are more highly cited in the literature, providing motivation for authors to adopt more stringent and thorough data citation practices.

Referencing practices in physical geography

2013 ◽  
Vol 37 (4) ◽  
pp. 543-549 ◽  
Author(s):  
Natalie Suzette Haussmann ◽  
Trevor McIntyre ◽  
Adam John Bumby ◽  
Michael John Loubser
Keyword(s):  
Science Citation Index ◽  
Citation Index ◽  
Physical Geography ◽  
Point Of View ◽  
Science Citation ◽  
Thomson Reuters ◽  
Citation Practices ◽  
Web Of Knowledge ◽  
Clear Support

Accurate citation practices are important, from both an ethical and a scientific point of view. Using an easily reproducible, previously published method, we assess citation accuracy in 120 articles published in the first half of 2011 and listed under ‘Physical Geography’ in Thomson Reuters’ ISI Web of Knowledge Science Citation Index. Our results indicate that at least 19% of citations in physical geography do not provide clear support for the statements they are meant to support. These results are in line with previously published findings for ‘field-orientated’ sciences. We propose that both authors and editors help remedy this problem, by employing more rigorous writing and editing practices.

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