scholarly journals Data and code availability statements in systematic reviews of interventions are often missing or inaccurate: a content analysis

Author(s):  
Matthew J Page ◽  
Phi-Yen Nguyen ◽  
Daniel G Hamilton ◽  
Neal R Haddaway ◽  
Raju Kanukula ◽  
...  

Objectives: To estimate the frequency of data and code availability statements in a random sample of systematic reviews with meta-analysis of aggregate data, summarise the content of the statements and investigate how often data and code files were shared. Methods: We searched for systematic reviews with meta-analysis of aggregate data on the effects of a health, social, behavioural or educational intervention that were indexed in PubMed, Education Collection via ProQuest, Scopus via Elsevier, and Social Sciences Citation Index and Science Citation Index Expanded via Web of Science during a four-week period (between November 2nd and December 2nd, 2020). Records were randomly sorted and screened independently by two authors until our target sample of 300 systematic reviews was reached. Two authors independently recorded whether a data or code availability statement (or both) appeared in each review and coded the content of the statements using an inductive approach. Results: Of the 300 included systematic reviews with meta-analysis, 86 (29%) had a data availability statement and seven (2%) had both a data and code availability statement. In 12/93 (13%) data availability statements, authors stated that data files were available for download from the journal website or a data repository, which we verified as being true. While 39/93 (42%) authors stated data were available upon request, 37/93 (40%) implied that sharing of data files was not necessary or applicable to them, most often because "all data appear in the article" or "no datasets were generated or analysed". Discussion: Data and code availability statements appear infrequently in systematic review manuscripts. Authors who do provide a data availability statement often incorrectly imply that data sharing is not applicable to systematic reviews. Our results suggest the need for various interventions to increase data and code sharing by systematic reviewers.

2013 ◽  
Vol 333-335 ◽  
pp. 2239-2242
Author(s):  
Bing Wu ◽  
Chen Yan Zhang

We review on the literatures gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning evaluation research in E-Learning system. The result indicates that the number of citation literature on this topic mainly distributes in recently 7 years, reaching climax of 30 in 2012 and then followed by 2011. The main research territory is Taiwan. And from the analysis of research area, computer science accounts for 83.3333%. Accordingly the percentage of source title as computers education is 41.667%. The related research can be classified into evaluation part of the system and evaluation the whole E-Learning system.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 491
Author(s):  
Daniel G. Hamilton ◽  
Hannah Fraser ◽  
Fiona Fidler ◽  
Steve McDonald ◽  
Anisa Rowhani-Farid ◽  
...  

Numerous studies have demonstrated low but increasing rates of data and code sharing within medical and health research disciplines. However, it remains unclear how commonly data and code are shared across all fields of medical and health research, as well as whether sharing rates are positively associated with implementation of progressive policies by publishers and funders, or growing expectations from the medical and health research community at large. Therefore this systematic review aims to synthesise the findings of medical and health science studies that have empirically investigated the prevalence of data or code sharing, or both. Objectives include the investigation of: (i) the prevalence of public sharing of research data and code alongside published articles (including preprints), (ii) the prevalence of private sharing of research data and code in response to reasonable requests, and (iii) factors associated with the sharing of either research output (e.g., the year published, the publisher’s policy on sharing, the presence of a data or code availability statement). It is hoped that the results will provide some insight into how often research data and code are shared publicly and privately, how this has changed over time, and how effective some measures such as the institution of data sharing policies and data availability statements have been in motivating researchers to share their underlying data and code.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 491
Author(s):  
Daniel G. Hamilton ◽  
Hannah Fraser ◽  
Fiona Fidler ◽  
Steve McDonald ◽  
Anisa Rowhani-Farid ◽  
...  

Numerous studies have demonstrated low but increasing rates of data and code sharing within medical and health research disciplines. However it remains unclear how commonly data and code are shared across all fields of medical and health research, as well as whether sharing rates are positively associated with implementation of progressive policies by publishers and funders, or growing expectations from the medical and health research community at large. Therefore this systematic review aims to synthesise the findings of medical and health science studies that have empirically investigated the prevalence of data or code sharing, or both. Objectives include the investigation of: (i) the prevalence of public sharing of research data and code alongside published articles (including preprints), (ii) the prevalence of private sharing of research data and code in response to reasonable requests, and (iii) factors associated with the sharing of either research output (e.g., the year published, the publisher’s policy on sharing, the presence of a data or code availability statement). It is hoped that the results will provide some insight into how often research data and code are shared publicly and privately, how this has changed over time, and how effective some measures such as the institution of data sharing policies and data availability statements have been in motivating researchers to share their underlying data and code.


2020 ◽  
pp. 31-52
Author(s):  
Cesar H. Limaymanta Alvarez ◽  
Hilda Zulueta-Rafael ◽  
Cristina Restrepo-Arango ◽  
Patricio Alvarez-Muñoz

Este artículo compara la producción científica de Perú y Ecuador entre 2009 y 2018. Se recuperaron documentos con al menos una afiliación peruana o ecuatoriana desde el Science Citation Index Expanded, Social Sciences Citation Index, Arts & Humanities Citation Index y Emerging Sources Citation Index de la base de datos Web of Science. Se evaluaron la tendencia y el crecimiento exponencial de la producción científica, se identificaron instituciones y áreas temáticas más productivas. Se estudió la estructura intelectual de la producción científica peruana y ecuatoriana mediante el análisis de acopla-miento bibliográfico de autores (AABA) y el análisis de cocitación de autores (ACA). Los resultados muestran que Perú tiene mayor producción acumulada que Ecuador. Sin embargo, Ecuador tiene mayor producción en los tres últimos años, incluso con pronóstico de seguir produciendo más que Perú. Las instituciones más productivas en ambos países son las universidades, y las categorías temáticas más productivas para Perú son salud ocupacional y ambiental y, para Ecuador son investigación educativa y ciencias ambientales.


2015 ◽  
Vol 4 (2) ◽  
pp. 19 ◽  
Author(s):  
M. A. Palazón ◽  
E. Ortega ◽  
A. García-Angulo

<p>El objetivo del presente estudio es realizar un análisis bibliométrico de la producción científica en el deporte de fútbol sala. Para ello se utilizó la colección principal de la plataforma “Web of Science” con las bases de datos Science Citation Index Expanded (SCI-EXPANDED) y Social Sciences Citation Index (SSCI). La búsqueda ofreció 81 artículos de los que se analizaron las siguientes variables: 1) título; 2) nombre del autor principal; 3) institución del primer autor; 4) no de autores; 5) revista; 6) número de citas; 7) año de publicación; 8) disciplina principal del estudio; 9) tipo de estudio; 10) tamaño de muestra; 11) nivel deportivo de la muestra, 12) sexo de la muestra. En los resultados destacaron los artículos de tipo experimental, los de sexo masculino y a deportistas de nivel profesional. Respecto a las instituciones, destacan las de países con un gran auge en lo que se refiere a fútbol sala, como Brasil y Portugal.</p>


2018 ◽  
Vol 29 (4) ◽  
pp. 576-590 ◽  
Author(s):  
Dejian Yu ◽  
Sun Meng

Biomass energy has the characteristics of renewable and decentralized and plays a certain role in mitigating climate change. Now it is considered to be a very important renewable energy and has great potential for development. Based on Science Citation Index Expanded and Social Sciences Citation Index databases, this paper retrieved the publication data through topic search using the keywords biomass energy and related words during 2007–2016. This paper investigates the development characteristics in biomass energy research based on bibliometrics methods and data mining techniques. The main purpose of this paper is to explore the knowledge structure and citation landscape in this field. The general development trends, Essential Science Indicators publications characteristics, and leading journals in this area are discussed. The main advantage of this analysis is based on massive data which can, to some extent, reveal the macrostate of the development of the field.


2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Yi Yang ◽  
Yao Ma ◽  
Lingmin Chen ◽  
Yuqi Liu ◽  
Yonggang Zhang

Objective. The objective of this study was to analyze the 100 top-cited systematic reviews/meta-analyses on diabetic research. Methods. The Science Citation Index Expanded database was searched to identify top-cited studies on diabetic research up to March 4th, 2020. Studies were analyzed using the following characteristics: citation number, publication year, country and institution of origin, authorship, topics, and journals. Results. The 100 top-cited diabetic systematic reviews/meta-analyses were published in 43 different journals, with Diabetes Care having the highest numbers (n=17), followed by The Journal of the American Medical Association (n=14) and Lancet (n=9). The majority of studies are published in the 2000s. The number of citations ranged from 2197 to 301. The highest number of contributions was from the USA, followed by England and Australia. The leading institution was Harvard University. The hot topic was a risk factor (n=33), followed by comorbidity (n=27). Conclusions. The 100 top-cited systematic reviews/meta-analyses on diabetic research identify impactful authors, journals, institutes, and countries. It will also provide the most important references to evidence-based medicine in diabetes and serve as a guide to the features of a citable paper in this field.


2014 ◽  
Vol 644-650 ◽  
pp. 2772-2775
Author(s):  
Bing Wu ◽  
Chen Yan Zhang

Web 2.0 provides richer user experiences by allowing online collaboration and sharing among users. We gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning advances in collaboration research in Web 2.0. The result indicates that the number of citation literature on this topic mainly distributes in recent 7 years, reaching climax of 4 in 2012. The main research territory is China, accounting for 22.222%. Accordingly the organization is city univ Hong Kong. And from the analysis of research area, research on information science library and computer science account for more than 50%. Overall, the related research topics can be classified into Web 2.0 in education, Web 2.0 in research, collaborative product development, climate reconstruction, public value in E-Government.


Salud Mental ◽  
2014 ◽  
Vol 37 (3) ◽  
pp. 205
Author(s):  
Daniela Ribeiro Schneider ◽  
Antonio Vidal-Infer ◽  
Máxima Bolaños-Pizarro ◽  
Rafael Aleixandre-Benavent ◽  
Francisco J. Bueno Cañigral ◽  
...  

Antecedentes . La colaboración entre investigadores tiene una gran importancia, pues permite compartir conocimiento, garantiza la mejora de los métodos empleados y de los resultados obtenidos y, en definitiva, consolida el quehacer científico. Este estudio tiene como objetivo analizar las redes de colaboración en drogodependencias entre países latinoamericanos y de la Unión Europea, aplicando metodologías procedentes de la bibliometría y del análisis de redes sociales. Métodos. Las bases de datos consultadas fueron Science Citation Index Expanded y Social Sciences Citation Index de la ISI Web of Science (WOS). Se utilizaron ecuaciones de búsqueda específicas en drogodependencias basadas en estudios previos. Los resultados de las búsquedas se depuraron con la exclusión de artículos correspondientes a categorías WOS que no eran propiamente sanitarias, así como los que no abordaban directamente aspectos biopsicosociales de drogodependencias. Se identificaron 228 artículos colaborativos durante la década 2001 y 2010. Resultados. El país europeo con mayor cantidad de artículos de colaboración fue España (n=69) y Brasil el latinoamericano (n=73). Estados Unidos tuvo un papel muy activo en las redes de colaboración, participando en 85 artículos. La institución y el autor más productivo correspondieron a México. La colaboración entre América Latina y la Unión Europa se ha incrementado desde 2001 (n=4) a 2010 (n=50). El análisis mostró que la colaboración fue mayor entre España y Brasil (n=27), así como entre España y Colombia (n=23). Conclusiones. En la última década se ha observado un incremento significativo de la colaboración científica entre los países latinoamericanos y europeos en drogodependencias, entre los que sobresalen Brasil y México, por un lado, y España e Italia por el otro. Destaca el papel de liderazgo de los Estados Unidos en las redes internacionales de investigación identificadas, ocupando un papel de intermediación en la colaboración entre diferentes países y continentes.


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