Do usage counts of scientific data make sense? An investigation of the Dryad repository

2017 ◽  
Vol 35 (2) ◽  
pp. 332-342 ◽  
Author(s):  
Lin He ◽  
Zhengbiao Han
Keyword(s):  
Scientific Data ◽  
Digital Data ◽  
Data Repositories ◽  
Content Type ◽  
Scholarly Impact ◽  
Subject Categories ◽  
Subject Areas ◽  
Citation Counts ◽  
Positive Correlations ◽  
The Impact

Purpose The purpose of this paper is to evaluate the impact of scientific data in order to assess the reliability of data to support data curation, to establish trust between researchers to support reuse of digital data and encourage researchers to share more data. Design/methodology/approach The authors compared the correlations between usage counts of associated data in Dryad and citation counts of articles in Web of Science in different subject areas in order to assess the possibility of using altmetric indicators to evaluate scientific data. Findings There are high positive correlations between usage counts of data and citation counts of associated articles. The citation counts of article’s shared data are higher than the average citation counts in most of the subject areas examined by the authors. Practical implications The paper suggests that usage counts of data could be potentially used to evaluate scholarly impact of scientific data, especially for those subject areas without special data repositories. Originality/value The study examines the possibility to use usage counts to evaluate the impact of scientific data in a generic repository Dryad by different subject categories.

Research on impact evaluation of academic journals from multidimensional perspective

2019 ◽  
Vol 38 (2) ◽  
pp. 458-478
Author(s):  
Rongying Zhao ◽  
Xu Wang
Keyword(s):  
Impact Evaluation ◽  
Indicator System ◽  
Three Dimensions ◽  
Societal Impact ◽  
Strong Positive Correlation ◽  
Academic Journals ◽  
Academic Impact ◽  
Content Type ◽  
Positive Correlations ◽  
The Impact

Purpose The purpose of this paper is to introduce altmetric indicators and combine with traditional citation indicators to comprehensively evaluate the impact of academic journals from the perspective of multidimensional and multi-indicator fusion. Design/methodology/approach The authors take international multidisciplinary journals as an example, combining 14 traditional citation indicators of academic journals and introducing 14 altmetric indicators to build a comprehensive evaluation model of the impact of academic journals (academic impact and societal impact). At the same time, the authors systematically construct a journal evaluation indicator system from three dimensions. Then, the indicators data of three dimensions are evaluated by normalized processing, correlation analysis, reliability and validity analysis, PCA and factor analysis. Findings Two-dimensional and three-dimensional analyses can exactly provide some useful information for academic journals’ location in the respective coordinate systems. There are strong positive correlations among the measured indicators in the three dimensions, and each indicator has a significant consistency between whole and internal. The correlation coefficient between FD1 and FD2 is 0.888 with a strong positive correlation. It shows that the traditional citation indicators provided by WoS and Scopus database are highly consistent, and they are comparable and alternative in evaluating the academic impact of journals. The correlation coefficients of FD1, FD2 with FD3 are 0.831 and 0.798. There are strong positive correlations among them, which indicate that the evaluation of journals’ societal impact based on altmetrics indicator can be considered as a potential supplement to academic impact evaluation based on citation and to reflect the multidimensional nature of journals impact in an immediate way. Originality/value Multidimensional and multi-indicator perspective evaluation can provide references for the selection of impact evaluation indicators and model optimization of academic journals, and also provide new ideas for improving the status of the impact evaluation of academic journals.

Business-to-business referral as digital coopetition strategy

2020 ◽  
Vol 54 (6) ◽  
pp. 1181-1203
Author(s):  
Ying Zhu ◽  
Valerie Lynette Wang ◽  
Yong Jian Wang ◽  
Jim Nastos
Keyword(s):  
Physical Distance ◽  
Peer To Peer ◽  
Digital Data ◽  
Data Set ◽  
Content Type ◽  
Digital Space ◽  
Digital Network ◽  
The Impact ◽  
Business To Business ◽  
Practical Implications

Purpose Based on theories related to coopetition, the purpose of this paper is to examine the patterns of business-to-business digital referrals inscribed in businesses’ digital content. Design/methodology/approach A complete industry-wise digital data set is formed by extracting digital referrals in all the content pages. The authors outline how digital referrals are strategically used among peer businesses in the peer-to-peer digital network and in the augmented digital network, taking into consideration geographical framing and physical distance. Findings The authors reveal how geographical framing and physical distance influence peer-to-peer referral patterns in the digital space. Quite counter-intuitively, businesses are more likely to give digital referrals for peers residing in the same region, as well as for peers located in closer proximity. Further, results from the augmented digital network show that peer businesses in closer proximity exhibit greater strategic similarity in their digital referring strategy. Research limitations/implications The findings extend the understanding of business-to-business coopetition to the digital space and suggest that geographical framing and physical distance can induce reciprocated relationships between peers by offering each other digital referrals. Practical implications The findings shed light on the formation of a business-to-business digital coopetition strategy using digital referral marketing. Originality/value This study highlights the impact of digital referrals in business-to-business relationship management, especially in the digital coopetition context.

Coverage, field specialisation and the impact of scientific publishers indexed in the Book Citation Index

2014 ◽  
Vol 38 (1) ◽  
pp. 24-42 ◽  
Author(s):  
Daniel Torres-Salinas ◽  
Nicolas Robinson-Garcia ◽  
Juan Miguel Campanario ◽  
Emilio Delgado López-Cózar
Keyword(s):  
Social Sciences ◽  
Design Methodology ◽  
Citation Index ◽  
Descriptive Study ◽  
Content Type ◽  
Thomson Reuters ◽  
Subject Categories ◽  
The Uk ◽  
The Impact ◽  
Scientific Publishers

Purpose – The aim of this study is to analyse the disciplinary coverage of Thomson Reuters' Book Citation Index database focusing on publisher presence, impact and specialisation. Design/methodology/approach – The authors conducted a descriptive study in which they examined coverage by discipline, publisher distribution by field and country of publication, and publisher impact. For this purpose the Thomson Reuters' subject categories were aggregated into 15 disciplines. Findings – Humanities and social sciences comprise 30 per cent of the total share of this database. Most of the disciplines are covered by very few publishers mainly from the UK and USA (75.05 per cent of the books), in fact 33 publishers hold 90 per cent of the whole share. Regarding publisher impact, 80.5 per cent of the books and chapters remained uncited. Two serious errors were found in this database: the Book Citation Index does not retrieve all citations for books and chapters; and book citations do not include citations to their chapters. Originality/value – There are currently no studies analysing in depth the coverage of this novel database which covers monographs.

Work-based learning for enterprise education? The case of Liverpool John Moores University “live” civic engagement projects for students

2018 ◽  
Vol 8 (1) ◽  
pp. 5-14 ◽  
Author(s):  
David Gibson ◽  
Vasilios Tavlaridis
Keyword(s):  
Civic Engagement ◽  
Transformational Learning ◽  
Learning Experiences ◽  
Assessment Process ◽  
Quantitative Methodology ◽  
Content Type ◽  
Enterprise Education ◽  
Subject Areas ◽  
Entrepreneurial Competencies ◽  
The Impact

Purpose The purpose of this paper is to present the results of using work-based learning (WBL) pedagogy within the curriculum to embed enterprise skills within the Liverpool John Moores University and review the potential relevance of WBL pedagogy to create impactful learning experiences within the curriculum. Design/methodology/approach The authors used quantitative methodology for this study using a pre- and post-program questionnaire (E-factor) to measure their entrepreneurial competencies. Data were collected from over 500 students over a two-year period. Findings The study indicates that WBL can provided transformational learning experiences for students of all disciplines as 85 percent of the students enhanced their entrepreneurial competencies and mindsets. Research limitations/implications This study provides significant evidence of the impact WBL pedagogy had on students over a two-year period at the Liverpool John Moores University. However, the data were collected from the student population of a single higher education institution and longitudinal evidence is needed to evaluate the long-term benefits of completing a comparative study with another university. Practical implications The WBL pedagogical approach can be applied to all subject areas to allow enterprise education to be embedded throughout the university curriculum. The research also shows that “live” civic engagement projects provides excellent examples of experiential learning and reflection in the assessment process. Originality/value The approach is relevant to all universities seeking to embed enterprise within all curriculums in line with the QAA draft guidelines (2012). The student experience should also be significantly enhanced through the provision of transformational learning experience for all students. It provides a clear methodology that can be customized for application to curricular enterprise education in all subject areas in all universities in the UK and indeed internationally.

scholarly journals Making the mission visible: altmetrics and nontraditional publishing

2017 ◽  
Vol 33 (4) ◽  
pp. 294-304 ◽  
Author(s):  
Jennifer L. Bonnet ◽  
Marisa Méndez-Brady
Keyword(s):  
Community Outreach ◽  
Journal Articles ◽  
Content Type ◽  
Post Secondary ◽  
Scholarly Output ◽  
Scholarly Impact ◽  
Traditional Scholarship ◽  
The University ◽  
The Impact

PurposeWhereas traditional book and journal publishing remain the gold standard for many post-secondary institutions, nontraditional publishing is just as prolific at the flagship university in Maine. The university has strong land and sea grant missions that drive a broad research agenda, with an emphasis on community outreach and engagement. However, the impact of researchers’ contributions outside of academe is unlikely to be accurately reflected in promotion, tenure or review processes. Thus, the authors designed a series of altmetrics workshops aimed at seeding conversations around novel ways to track the impact of researchers’ diverse scholarly and creative outputs. Design/methodology/approachThis paper presents a case study of the instructional approach taken at the University of Maine library to facilitate discussions of alternative impact assessments that reach beyond traditional publications. FindingsEvaluations revealed an increased awareness of, and interest in, impact tracking tools that capture both traditional scholarship, like journal articles, and nontraditional scholarly and creative outputs, such as videos, podcasts and newsletters. The authors learned that altmetrics provides an entry point into a broader conversation about scholarly impact, and was best received by those whose scholarly output is not always captured by traditional metrics. Practical implications Scholars are equipped with novel methods for describing the value of their work and discovering a broader audience for their research. Future initiatives will target the needs identified through initial conversations around altmetrics. Originality/valueAltmetrics workshops provide spaces to explore the potential for new tools that capture a range of previously unconsidered measures of impact, and to discuss the implications of those measures.

Plum Island Coffee Roasters: a perfect blend of coffee, business and community

2016 ◽  
Vol 12 (2) ◽  
pp. 179-188
Author(s):  
Gregory C. Foudray
Keyword(s):  
Digital Media ◽  
Coffee Shop ◽  
Content Type ◽  
Business Courses ◽  
Subject Areas ◽  
The Subject ◽  
Seasonal Volatility ◽  
Facebook Advertising ◽  
The Impact ◽  
Formal Business

Synopsis The owner of an independent coffee shop is looking for methods to improve the sales performance of his business. He has strong customer sales and service skills but limited formal business education. He believes his sales are growing but seasonal volatility in sales is affecting his profitability. The manager of the coffee shop is a college student and is attempting to use methods from her business courses to analyze the impact of Facebook Advertising on the sales of the coffee shop. On a busy Friday in May, they are meeting to make key marketing decisions. Research methodology This case is a field researched case. The author had full access to the owner of the business, meeting with him frequently over a two-year period. The business owner has reviewed the case to verify its accuracy. Relevant courses and levels This case is intended for use in undergraduate business courses in the subject areas of Business, Marketing and Social/Digital Media Marketing.

Evolution of national heritage inventories for Scotland and Wales

2016 ◽  
Vol 6 (2) ◽  
pp. 113-127 ◽  
Author(s):  
Peter McKeague ◽  
David Thomas
Keyword(s):  
Decision Making ◽  
Digital Technologies ◽  
Renewable Resource ◽  
Building Blocks ◽  
Evidence Base ◽  
Digital Data ◽  
Content Type ◽  
National Heritage ◽  
Access To Knowledge ◽  
The Impact

Purpose – The purpose of this paper is to present a review of the origins and development of national inventories in Scotland and Wales from paper-based records to digital databases. The impact of digital technologies on data management and dissemination is considered. Design/methodology/approach – Exploring the evolution of historic environment inventories in Scotland and Wales highlights the common issues faced and solutions adopted. In considering the longue durée, the durability and flexibility of information is highlighted. Findings – Inventories may combine locational, descriptive and visual material to help document a fragile, finite and non-renewable resource. They provide the evidence base for decision making and stewardship in managing change, stimulating interest in and valuing the historic environment. Contribution to recognised inventories should be a requirement for activities documenting the historic environment. Digital technologies shape the expectations of a modern inventory and associated digital archives, with emphasis placed on the repurposing of inventory contents so that they can better contribute to an information network serving multiple audiences. Social implications – Transformation from paper records to digital data has radically enhanced and democratised access to knowledge about the historic environment. Digital delivery helps place heritage data within mainstream societal activities and fosters public interest and engagement in the historic environment. Originality/value – Inventories are the foundation building blocks of informed decision making. Digital technologies have transformed these resources to help place the historic environment within mainstream societal activities and interest.

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.

Study of Asian RDR based on re3data

2019 ◽  
Vol 37 (2) ◽  
pp. 302-313
Author(s):  
Jane Cho
Keyword(s):  
Research Output ◽  
Research Data ◽  
Asian Countries ◽  
Main Subject ◽  
Data Repositories ◽  
Subject Field ◽  
Technical Problems ◽  
Content Type ◽  
Subject Areas ◽  
The Subject

Purpose RDR has become an essential academic infrastructure in an atmosphere that facilitates the openness of research output granted by public research funds. This study aims to understand operational status of 152 Asian data repositories on re3data and cluster repositories into four groups according to their operational status. In addition, identify the main subject areas of RDRs in Asian countries and try to understand what topic correlations exist between data archived in Asian countries. Design/methodology/approach This study extracts metadata from re3data and analyzes it in various ways to grasp the current status of research data repositories in Asian countries. The author clusters the repositories into four groups using hierarchical cluster analysis according to the level of operation. In addition, for identifying the main subject areas of RDRs in Asian countries, extracted the keywords of the subject field assigned to the each repository, and Pathfinder Network (PFNET) analysis is performed. Findings About 70 per cent of the Asian-country repositories are those where licenses or policies are declared but not granted permanent identifiers and international-level certification. As a result of the subject domain analysis, eight clusters are formed centering on life sciences and natural sciences. Originality/value The research output in developing countries, especially non-English-speaking countries, tends not to be smoothly circulated in the international community due to the immaturity of the open-access culture, as well as linguistic and technical problems. This study has value, in that it investigates the status of Asian countries’ research data management and global distribution infrastructure in global open-science trends.

Beyond article publishing - support and opportunities for researchers in FAIR data sharing

2020 ◽  
Author(s):  
Graham Smith ◽  
Andrew Hufton
Keyword(s):  
Data Sharing ◽  
San Francisco ◽  
Scientific Data ◽  
Research Data ◽  
Research Assessment ◽  
Environmental Sciences ◽  
Data Repositories ◽  
The Earth ◽  
Data Citation ◽  
The Impact

<p>Researchers are increasingly expected by funders and journals to make their data available for reuse as a condition of publication. At Springer Nature, we feel that publishers must support researchers in meeting these additional requirements, and must recognise the distinct opportunities data holds as a research output. Here, we outline some of the varied ways that Springer Nature supports research data sharing and report on key outcomes.</p><p>Our staff and journals are closely involved with community-led efforts, like the Enabling FAIR Data initiative and the COPDESS 2014 Statement of Commitment <sup>1-4</sup>. The Enabling FAIR Data initiative, which was endorsed in January 2019 by <em>Nature</em> and <em>Scientific Data</em>, and by <em>Nature Geoscience</em> in January 2020, establishes a clear expectation that Earth and environmental sciences data should be deposited in FAIR<sup>5</sup> Data-aligned community repositories, when available (and in general purpose repositories otherwise). In support of this endorsement, <em>Nature</em> and <em>Nature Geoscience</em> require authors to share and deposit their Earth and environmental science data, and <em>Scientific Data</em> has committed to progressively updating its list of recommended data repositories to help authors comply with this mandate.</p><p>In addition, we offer a range of research data services, with various levels of support available to researchers in terms of data curation, expert guidance on repositories and linking research data and publications.</p><p>We appreciate that researchers face potentially challenging requirements in terms of the ‘what’, ‘where’ and ‘how’ of sharing research data. This can be particularly difficult for researchers to negotiate given that huge diversity of policies across different journals. We have therefore developed a series of standardised data policies, which have now been adopted by more than 1,600 Springer Nature journals. </p><p>We believe that these initiatives make important strides in challenging the current replication crisis and addressing the economic<sup>6</sup> and societal consequences of data unavailability. They also offer an opportunity to drive change in how academic credit is measured, through the recognition of a wider range of research outputs than articles and their citations alone. As signatories of the San Francisco Declaration on Research Assessment<sup>7</sup>, Nature Research is committed to improving the methods of evaluating scholarly research. Research data in this context offers new mechanisms to measure the impact of all research outputs. To this end, Springer Nature supports the publication of peer-reviewed data papers through journals like <em>Scientific Data</em>. Analysis of citation patterns demonstrate that data papers can be well-cited, and offer a viable way for researchers to receive credit for data sharing through traditional citation metrics. Springer Nature is also working hard to improve support for direct data citation. In 2018 a data citation roadmap developed by the Publishers Early Adopters Expert Group was published in <em>Scientific Data</em><sup>8</sup>, outlining practical steps for publishers to work with data citations and associated benefits in transparency and credit for researchers. Using examples from this roadmap, its implementation and supporting services, we outline how a FAIR-led data approach from publishers can help researchers in the Earth and environmental sciences to capitalise on new expectations around data sharing.</p><p>__</p><ol><li>https://doi.org/10.1038/d41586-019-00075-3</li> <li>https://doi.org/10.1038/s41561-019-0506-4</li> <li>https://copdess.org/enabling-fair-data-project/commitment-statement-in-the-earth-space-and-environmental-sciences/</li> <li>https://copdess.org/statement-of-commitment/</li> <li>https://www.force11.org/group/fairgroup/fairprinciples</li> <li>https://op.europa.eu/en/publication-detail/-/publication/d375368c-1a0a-11e9-8d04-01aa75ed71a1</li> <li>https://sfdora.org/read/</li> <li>https://doi.org/10.1038/sdata.2018.259</li> </ol>

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