scholarly journals Reuse of scientific data in academic publications

2016 ◽  
Vol 68 (4) ◽  
pp. 478-494 ◽  
Author(s):  
Lin He ◽  
Vinita Nahar
Keyword(s):  
Data Sharing ◽  
Design Methodology ◽  
Scientific Data ◽  
Research Groups ◽  
Digital Repository ◽  
Data Repositories ◽  
Content Type ◽  
Data Intensive ◽  
Academic Publications ◽  
Number Of Citations

Purpose – In recent years, a large number of data repositories have been built and used. However, the extent to which scientific data are re-used in academic publications is still unknown. The purpose of this paper is to explore the functions of re-used scientific data in scholarly publication in different fields. Design/methodology/approach – To address these questions, the authors identified 827 publications citing resources in the Dryad Digital Repository indexed by Scopus from 2010 to 2015. Findings – The results show that: the number of citations to scientific data increases sharply over the years, but mainly from data-intensive disciplines, such as agricultural, biology science, environment science and medicine; the majority of citations are from the originating articles; and researchers tend to reuse data produced by their own research groups. Research limitations/implications – Dryad data may be re-used without being formally cited. Originality/value – The conservatism in data sharing suggests that more should be done to encourage researchers to re-use other’s data.

Internet researchers’ data sharing behaviors

2018 ◽  
Vol 42 (1) ◽  
pp. 124-142 ◽  
Author(s):  
Youngseek Kim ◽  
Seungahn Nah
Keyword(s):  
Social Norms ◽  
Data Sharing ◽  
Positive Impact ◽  
Scientific Data ◽  
Data Reuse ◽  
Equation Modeling ◽  
Data Repository ◽  
Data Repositories ◽  
Content Type ◽  
And Behaviors

Purpose The purpose of this paper is to examine how data reuse experience, attitudinal beliefs, social norms, and resource factors influence internet researchers to share data with other researchers outside their teams. Design/methodology/approach An online survey was conducted to examine the extent to which data reuse experience, attitudinal beliefs, social norms, and resource factors predicted internet researchers’ data sharing intentions and behaviors. The theorized model was tested using a structural equation modeling technique to analyze a total of 201 survey responses from the Association of Internet Researchers mailing list. Findings Results show that data reuse experience significantly influenced participants’ perception of benefit from data sharing and participants’ norm of data sharing. Belief structures regarding data sharing, including perceived career benefit and risk, and perceived effort, had significant associations with attitude toward data sharing, leading internet researchers to have greater data sharing intentions and behavior. The results also reveal that researchers’ norms for data sharing had a direct effect on data sharing intention. Furthermore, the results indicate that, while the perceived availability of data repository did not yield a positive impact on data sharing intention, it has a significant, direct, positive impact on researchers’ data sharing behaviors. Research limitations/implications This study validated its novel theorized model based on the theory of planned behavior (TPB). The study showed a holistic picture of how different data sharing factors, including data reuse experience, attitudinal beliefs, social norms, and data repositories, influence internet researchers’ data sharing intentions and behaviors. Practical implications Data reuse experience, attitude toward and norm of data sharing, and the availability of data repository had either direct or indirect influence on internet researchers’ data sharing behaviors. Thus, professional associations, funding agencies, and academic institutions alike should promote academic cultures that value data sharing in order to create a virtuous cycle of reciprocity and encourage researchers to have positive attitudes toward/norms of data sharing; these cultures should be strengthened by the strong support of data repositories. Originality/value In line with prior scholarship concerning scientific data sharing, this study of internet researchers offers a map of scientific data sharing intentions and behaviors by examining the impacts of data reuse experience, attitudinal beliefs, social norms, and data repositories together.

Continuous improvement projects: an authorship bibliometric analysis

2017 ◽  
Vol 30 (5) ◽  
pp. 467-476 ◽  
Author(s):  
Fernando Gonzalez Aleu ◽  
Eileen M. Van Aken
Keyword(s):  
Literature Review ◽  
Bibliometric Analysis ◽  
Continuous Improvement ◽  
Systematic Literature Review ◽  
Design Methodology ◽  
Research Groups ◽  
Content Type ◽  
New Knowledge ◽  
Academic Publications ◽  
Future Work

Purpose The purpose of this paper is to describe the current research on hospital continuous improvement projects (CIPs) from an author characteristics’ perspective. This work addresses the following questions: who are the predominant research authors in hospital CIPs? To what extent are the research communities collaborating in distinct research groups? How internationalized has hospital CIPs research become with respect to author location? Design/methodology/approach A systematic literature review was conducted, identifying 302 academic publications related to hospital CIPs. Publications were analyzed using: author, quantity, diversity, collaboration, and impact. Findings Hospital CIPs are increasingly attracting new scholars each year. Based on the authors’ analysis, authors publishing in this area can be described as a relatively new international community given the countries represented. Originality/value This paper describes the current hospital CIP research by assessing author characteristics. Future work should examine additional attributes to characterize maturity such as how new knowledge is being created and to what extent new knowledge is being disseminated to practitioners.

Supporting successful data sharing practices in earthquake engineering

2019 ◽  
Vol 37 (4) ◽  
pp. 764-780
Author(s):  
Shuheng Wu ◽  
Adam Worrall
Keyword(s):  
Data Sharing ◽  
Earthquake Engineering ◽  
Design Methodology ◽  
Structured Interviews ◽  
Data Repositories ◽  
Content Type ◽  
Funding Agencies ◽  
Data Ownership ◽  
Project Size ◽  
Academic Genealogy

Purpose Prior studies identified a need for further comparison of data-sharing practices across different disciplines and communities. Toward addressing this need, the purpose of this paper is to examine the data-sharing practices of the earthquake engineering (EE) community, which could help inform data-sharing policies in EE and provide different stakeholders of the EE community with suggestions regarding data management and curation. Design/methodology/approach This study conducted qualitative semi-structured interviews with 16 EE researchers to gain an understanding of which data might be shared, with whom, under what conditions and why; and their perceptions of data ownership. Findings This study identified 29 data-sharing factors categorized into five groups. Requirements from funding agencies and academic genealogy were frequent impacts on EE researchers’ data-sharing practices. EE researchers were uncertain of data ownership and their perceptions varied. Originality/value Based on the findings, this study provides funding agencies, research institutions, data repositories and other stakeholders of the EE community with suggestions, such as allowing researchers to adjust the timeframe they can withhold data based on project size and the amount of experimental data generated; expanding the types and states of data required to share; defining data ownership in grant requirements; integrating data sharing and curation into curriculum; and collaborating with library and information schools for curriculum development.

A recipe for sustainable development: assessing transition of commercial foodservices towards the goal of the triple bottom line sustainability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hien Thu Bui ◽  
Viachaslau Filimonau
Keyword(s):  
Design Methodology ◽  
Critical Evaluation ◽  
Triple Bottom Line ◽  
Well Being ◽  
Research Gaps ◽  
Bottom Line ◽  
Content Type ◽  
Sustainability Performance ◽  
Academic Publications ◽  
Inductive Thematic Analysis

Purpose This study aims to critically evaluate the factual triple bottom line (TBL) sustainability performance of commercial foodservices as featured in peer-reviewed academic publications. Design/methodology/approach The commercial foodservices’ sustainability performance-related articles were collected for a systematic review. An inductive thematic analysis was applied to the eligible articles. Findings The contribution of the commercial foodservice sector to the TBL sustainability is highlighted through eight themes: food waste management; food safety and hygiene; food allergy management; provision of healthy meals; local food use; employment of the disadvantaged; well-being of (non)managerial personnel; and noise level management. Originality/value The critical evaluation of the actual TBL sustainability measures adopted by commercial foodservice providers highlights the feasibility of the measures, thus calling for their broader industry uptake. Research gaps and issues for future investigations are accentuated for scholars to support the industry in its progress towards the goals of the TBL sustainability.

“Data stickiness” in interagency government data sharing: a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lihong Zhou ◽  
Longqi Chen ◽  
Yingying Han
Keyword(s):  
Data Sharing ◽  
Design Methodology ◽  
Research Study ◽  
Central China ◽  
Content Type ◽  
Study Approach ◽  
International Borders ◽  
Government Data ◽  
The Government

PurposeThe provision of high-quality e-Government services requires efficient and collaborative sharing of data across varied types of government agencies. However, interagency government data sharing (IDS) is not always spontaneous, active and unconditional. Adopting a stickiness theory, this paper reports on a research study, which explores the causes of data stickiness in IDS.Design/methodology/approachThis study employed an inductive case study approach. Twenty-three officials from the government of City M in Hubei Province, Central China, were approached and interviewed using a semi-structured question script.FindingsThe analysis of the interview data pointed to 27 causes of data stickiness in five main themes: data sharing willingness; data sharing ability; data articulatability; data residence; and data absorptive capacity. The analysis revealed that interagency tensions and lack of preparedness of individual agencies are the main causes of data stickiness in IDS.Originality/valueThe case setting is based on China's Government, but the findings offer useful insights and indications that can be shared across international borders.

scholarly journals Supply chain cost research: a bibliometric mapping perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Steven Dien ◽  
Abel Gonzales ◽  
Melissa Chavez ◽  
Ben Hazen
Keyword(s):  
Supply Chain ◽  
Design Methodology ◽  
Future Research ◽  
Supply Chain Optimization ◽  
Content Type ◽  
Analysis Techniques ◽  
Research Areas ◽  
Supply Chain Costs ◽  
Academic Publications ◽  
Scopus Database

PurposeThe purpose of this paper is to review the literature on logistics and supply chain costs to provide an analysis of sources of publication, citations and authorship using bibliometric analysis techniques (VOSviewer and CitNetExplorer tools).Design/methodology/approachA review of 756 articles published during the period 2014 to 2019 referenced in the Scopus database was performed. The review was limited to articles published in English and directly related to logistics and supply chain costs.FindingsThe research identified more than 2,000 authors representing more than 5,000 keywords and 10,000 references from a total of 155 journals investigated. A critical synthesis of the resulting data revealed several insights about various aspects of studies in this field. For instance, the review identified a scarcity of academic publications in three key areas, namely “supply chain,” “optimization” and “transportation”, which are concepts focused on the total supply chain.Originality/valueThis research highlights important areas of attention for both researchers and practitioners considering costs associated with logistics and supply chain operations and strategies. The results can also help identify thematic areas, journals and topics for future research. The paper identifies and proposes research areas to contribute to the literature when challenges to investigating logistics and supply chain costs are discussed.

scholarly journals Relationships between two kinds of MSP in China

2020 ◽  
Vol 3 (1) ◽  
pp. 1-11
Author(s):  
Honghao Tang ◽  
Qi Yue ◽  
Chen Wang ◽  
Lingling Zhou ◽  
Jing Yu ◽  
...  
Keyword(s):  
Comparative Study ◽  
Data Sharing ◽  
Present Status ◽  
Spatial Planning ◽  
Design Methodology ◽  
Marine Spatial Planning ◽  
Content Type ◽  
Functional Zoning ◽  
Spatial Management ◽  
The Relationship

PurposeThe major marine functional zoning plan (MMFZP) and marine functional zoning (MFZ) are two important kinds of marine spatial planning (MSP) in China. Their developing and implementation are integral to rational marine utilization and sustainable marine development. The purpose of this research is to study how these two kinds of MSP work in coordination in China.Design/methodology/approachThis paper reviewed the present status of MSP research in China and abroad and presented a comparative study of the MMFZP and MFZ from different aspects, analyzing the relationship between the two.FindingsThe study found obvious differences between the MMFZP and MFZ, with respect to their concept and connotation, purpose and goal, as well as zoning methods and zoning functions. MFZ provides reference with respect to data, zoning methods and partial zoning results for the MMFZP, which in turn takes measures for addressing issues faced by MFZ and promotes the national MSP work.Originality/valueIn the process of developing and implementing the two zoning plans, this paper emphasizes the necessity to strengthen data sharing, reference of zoning techniques and coordination in zoning work, which will help to improve China's marine spatial management.

Technology jump in the industry: human–robot cooperation in production

2020 ◽  
Vol 47 (5) ◽  
pp. 757-775
Author(s):  
Zoltan Dobra ◽  
Krishna S. Dhir
Keyword(s):  
Design Methodology ◽  
Manufacturing Industry ◽  
Current Status ◽  
Robot System ◽  
Content Type ◽  
New Directions ◽  
Academic Publications ◽  
Robot Cooperation ◽  
Human Robot Collaboration ◽  
Practical Implications

Purpose Recent years have seen a technological change, Industry 4.0, in the manufacturing industry. Human–robot cooperation, a new application, is increasing and facilitating collaboration without fences, cages or any kind of separation. The purpose of the paper is to review mainstream academic publications to evaluate the current status of human–robot cooperation and identify potential areas of further research. Design/methodology/approach A systematic literature review is offered that searches, appraises, synthetizes and analyses relevant works. Findings The authors report the prevailing status of human–robot collaboration, human factors, complexity/ programming, safety, collision avoidance, instructing the robot system and other aspects of human–robot collaboration. Practical implications This paper identifies new directions and potential research in practice of human–robot collaboration, such as measuring the degree of collaboration, integrating human–robot cooperation into teamwork theories, effective functional relocation of the robot and product design for human robot collaboration. Originality/value This paper will be useful for three cohorts of readers, namely, the manufacturers who require a baseline for development and deployment of robots; users of robots-seeking manufacturing advantage and researchers looking for new directions for further exploration of human–machine collaboration.

What does “corporate governance” actually mean?

2014 ◽  
Vol 14 (3) ◽  
pp. 300-319 ◽  
Author(s):  
Barbara Marie L’Huillier
Keyword(s):  
Corporate Governance ◽  
Theoretical Analysis ◽  
Agency Theory ◽  
Design Methodology ◽  
Connotative Meaning ◽  
Content Type ◽  
Dominant Meaning ◽  
Theoretical Perspectives ◽  
Academic Publications ◽  
Practical Implications

Purpose – This paper aims to develop a framework of connotative meanings afforded to the term “corporate governance”. Design/methodology/approach – An examination of academic publications from 1985-2012 containing the term “corporate governance” was conducted. The articles are sorted into the theoretical constructs that influence the contemporary connotative meaning of corporate governance. Findings – That a combination of a weak definitional base coupled with strong motivational forces have aided the development of competing theoretical perspectives of the meaning of corporate governance. The dominant meaning is written from an agency theory perspective. Research limitations/implications – Theoretical analysis was restricted to articles found in academic journals published since 1985. Practical implications – This study provides a very useful analysis into the connotative meanings and theoretical bases used by academic writers in the study of corporate governance. Originality/value – This paper provides an updated and developed analysis to the theoretical dimensions that underpin the contemporary use of the term “corporate governance”.

Studies on numerical methodologies for inverse problems and optimizations in China

2013 ◽  
Vol 33 (1/2) ◽  
pp. 56-64 ◽  
Author(s):  
Shiyou Yang ◽  
S.L. Ho ◽  
Yingying Yao ◽  
Lei Liu ◽  
Lie Wu
Keyword(s):  
Hong Kong ◽  
Inverse Problems ◽  
Computational Intelligence ◽  
Design Methodology ◽  
Essential Role ◽  
Current Status ◽  
Research Groups ◽  
Content Type ◽  
Research Results

Purpose – The purpose of this paper is to explore the potential challenges in developing numerical methodologies for inverse problems and optimizations. Design/methodology/approach – Summarizing previous research results mainly contributed by two research groups of Zhejiang University and Hong Kong Polytechnic University. Findings – Computational intelligence plays an essential role in studying inverse problems and optimizations. Originality/value – An up-to-date review on the current status of numerical methodologies, especially computational intelligences, for inverse problems and optimizations contributed by Chinese researchers.

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