Datafication research: Mapping the field for a future agenda

2021 ◽  
pp. 146144482110466
Author(s):  
Sofie Flensburg ◽  
Stine Lomborg
Keyword(s):  
Web Of Science ◽  
Research Field ◽  
Data Driven ◽  
Communication Research ◽  
Research Fields ◽  
Use Of Data ◽  
Qualitative Approaches ◽  
Current State ◽  
User Perspectives

A growing body of research centers around the concept of “datafication” suggesting a buzz around data studies and, perhaps, the emergence of a research field. This article analyzes and discusses the current state of datafication research. Our dataset comprises 463 publications on datafication identified through a systematic literature search in Web of Science and Scopus, an explorative network analysis of keyword co-occurrences and a content analysis of these publications. We map datafication research interests in various research fields, find that the majority of studies are theoretically oriented, whereas empirical analyses largely apply qualitative approaches and rarely make use of data-driven methods. We suggest studies on datafication can be devised into categories reflecting research interests in either user understandings and practices or in infrastructure and technological processes of datafication. The latter strand is particularly sparse in empirical anchoring, and needs empirical and methodological attention. We conclude by outlining three paths for future datafication research to cross-pollinate infrastructural and user perspectives, highlighting the bridging role of communication research in such an endeavor.

scholarly journals Data-Driven Campaigning in the 2015 United Kingdom General Election

2017 ◽  
Vol 22 (3) ◽  
pp. 294-313 ◽  
Author(s):  
Nick Anstead
Keyword(s):  
United Kingdom ◽  
The United States ◽  
General Election ◽  
Data Driven ◽  
British Politics ◽  
Use Of Data ◽  
The Uk ◽  
Depth Interviews

While we know something of data-driven campaigning practices in the United States, we know much less about the role of data in other national contexts. The 2015 United Kingdom General Election offers an important case study of how such practices are evolving and being deployed in a different setting. This article draws on thirty-one in-depth interviews with political practitioners involved in the use of data for six major UK parties and electoral regulators. These interviews are employed to explore the perceived importance of data in contemporary British campaigns, to understand the data-based campaign techniques being used by UK parties, and to assess how data-driven practices are interacting with the preexisting institutional context of British politics. Going beyond the specifics of the UK case, this study raises questions about the comparative, theoretical, and normative dimensions of data-driven politics.

scholarly journals Sustainable Sport Entrepreneurship and Innovation: A Bibliometric Analysis of This Emerging Field of Research

2020 ◽  
Vol 12 (12) ◽  
pp. 5209 ◽  
Author(s):  
María Huertas González-Serrano ◽  
Vicente Añó Sanz ◽  
Rómulo Jacobo González-García
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Research Field ◽  
Bibliographic Coupling ◽  
Future Research ◽  
Sustainable Entrepreneurship ◽  
Mega Events ◽  
Sports Industry ◽  
Current State ◽  
The Web

In the sports sector, entrepreneurship, innovation, and social corporative responsible are generating growing interest during the last years. Due to that situation, sustainable entrepreneurship and innovation in sport have emerged in this sector, receiving individual attention from academics and practitioners. However, little is known about the evolution of this new field of research. Thus, the main aim of this paper is to analyze the documents published in the Web of Science about sport sustainable entrepreneurship and innovation. The bibliometric analysis allows us to discover the current state of a research field, identify the principal authors, articles, and topics, and propose future research lines to develop it further. The articles published between 2000 and 2019 were analyzed quantitatively, and by word and author co-occurrence. Later, through the bibliographic coupling, the articles were grouped in different clusters. Seven central thematics were found, being the sports mega-events and the sustainability the most development sub-area or research, followed by the sport innovation for fostering inclusion. Moreover, for the development of this field of research, studies focused on “tourism” and “entrepreneurship” with “environment”, “sport”, “sustainability and knowledge” and “innovation” focus, are necessary. Thus, sustainable entrepreneurship and innovation in sport are an undeveloped but promising field for the future of the sports industry.

scholarly journals Open access levels: a quantitative exploration using Web of Science and oaDOI data

2018 ◽  
Author(s):  
Jeroen Bosman ◽  
Bianca Kramer
Keyword(s):  
Open Access ◽  
Policy Development ◽  
Web Of Science ◽  
Research Output ◽  
Research Field ◽  
Open Access Publishing ◽  
Pure Gold ◽  
Research Fields ◽  
Institutional Contexts ◽  
Status Data

Across the world there is growing interest in open access publishing among researchers, institutions, funders and publishers alike. It is assumed that open access levels are growing, but hitherto the exact levels and patterns of open access have been hard to determine and detailed quantitative studies are scarce. Using newly available open access status data from oaDOI in Web of Science we are now able to explore year-on-year open access levels across research fields, languages, countries, institutions, funders and topics, and try to relate the resulting patterns to disciplinary, national and institutional contexts. With data from the oaDOI API we also look at the detailed breakdown of open access by types of gold open access (pure gold, hybrid and bronze), using universities in the Netherlands as an example. There is huge diversity in open access levels on all dimensions, with unexpected levels for e.g. Portuguese as language, Astronomy & Astrophysics as research field, countries like Tanzania, Peru and Latvia, and Zika as topic. We explore methodological issues and offer suggestions to improve conditions for tracking open access status of research output. Finally, we suggest potential future applications for research and policy development. We have shared all data and code openly.

scholarly journals Translation and Political Discourse

2015 ◽  
Vol 6 (2) ◽  
pp. 139-158 ◽  
Author(s):  
Mátyás Bánhegyi
Keyword(s):  
Critical Discourse Analysis ◽  
Translation Studies ◽  
Political Conflict ◽  
Research Field ◽  
Critical Discourse ◽  
Literary Texts ◽  
Cultural Backgrounds ◽  
Research Fields ◽  
The Relationship

AbstractThe paper describes the text linguistic research of political texts in the field of Translation Studies and presents an overview of critical discourse analysis-based studies. First, the relationship between text, power and ideology and its implications on the role of translation are explored. This is followed by a review of a number of studies on the translation of political texts and on the power relations involved. The paper classifies such studies into the following six categories representing distinct research fields: translators' professional roles and politics; translators acting as mediators in situations of political conflict; translators' professional responsibilities and the strategies they apply; the inference of translators' own historical, social and cultural backgrounds; manipulation in the translation of literary texts and other text types; and critical discourse awareness in Translation Studies. The most recent studies in the above research fields and their results are also presented. It is concluded that these approaches exhibit quite varied research methods and their results are almost impossible to compare. With a view to the future development of this research field, it seems expedient to introduce a unified research theory, method and tool.

scholarly journals The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences

2021 ◽  
Author(s):  
Berndt Jesenko ◽  
Christian Schlögl
Keyword(s):  
Web Of Science ◽  
Research Literature ◽  
Data Driven ◽  
The Core ◽  
Research Fields ◽  
Narrow View ◽  
Subject Categories ◽  
Engineering Sciences ◽  
Core Areas ◽  
Science Subject

AbstractThe primary goal of this article is to identify the research fronts on the application of data-driven methods in business and economics. For this purpose, the research literature of the business and economic sciences Subject Categories from the Web of Science is mapped using BibExcel and VOSviewer. Since the assignment to subject categories is done at the journal level and since a journal is often assigned to several subject categories in Web of Science, two mappings are performed: one without considering multiple assignments (broad view) and one considering only those (articles from) journals that have been assigned exclusively to the business and economic sciences subject categories and no others (narrow view). A further aim of this article is therefore to identify differences in the two mappings. Surprisingly, engineering sciences play a major role in the broad mapping, in addition to the economic sciences. In the narrow mapping, however, only the following clusters with a clear business-management focus emerge: (i) Data-driven methods in management in general and data-driven supply chain management in particular, (ii) Data-driven operations research analyses with different business administration/management focuses, (iii) Data-driven methods and processes in economics and finance, and (iv) Data-driven methods in Information Systems. One limitation of the narrow mapping is that many relevant documents are not covered since the journals in which they appear are assigned to multiple subject categories in WoS. The paper comes to the conclusion that the multiple assignments of subject categories in Web of Science may lead to massive changes in the results. Adjacent subject areas—in this specific case the application of data-driven methods in engineering and more mathematically oriented contributions in economics (econometrics) are considered in the broad mapping (not excluding subject categories from neighbouring disciplines) and are even over-represented compared to the core areas of business and economics. If a mapping should only consider the core aspects of particular research fields, it is shown in this use case that the exclusion of Web of Science-subject categories that do not belong to the core areas due to multiple assignments (narrow view), may be a valuable alternative. Finally, it depends on the reader to decide which mapping is more beneficial to them.

scholarly journals Scientific cooperation of Russia with post-soviet states

2019 ◽  
Vol 89 (7) ◽  
pp. 699-717
Author(s):  
A. A. Kravtsov
Keyword(s):  
Web Of Science ◽  
Scientific Publication ◽  
Partner Country ◽  
Major Research ◽  
Scientific Cooperation ◽  
Joint Research ◽  
Current State ◽  
Citation Indexes ◽  
Valuable Role

The article defines the current state and dynamics of the scientific cooperation between Russia and non-Baltic post-Soviet states by studying researchers’ scientific co-publications indexed in the Web of Science. The statistics on the number of Russian and post-Soviet authors’ bilateral scientific articles in 2000–2017 were analyzed, as well as distribution of the articles by publication year, area of research, main sponsors, and authors’ organizational affiliations. Four groups of countries were specified, for which the dynamics of scientific publication cooperation with Russia can be described as growing, positive, stagnating, and dwindling respectively. The main areas of scientific cooperation between Russia and post-Soviet states were identified in general and for each partner country in particular, as well as the leading cooperating organizations, key areas of joint research, and major research sponsors. The comparative relevance of co-publications for the scientific community was evaluated through scientific citation indexes for each post-Soviet partner country and each key area of research. The valuable role of higher education institutions in maintaining scientific cooperation in the context of adverse political and economic environments was specified.

scholarly journals The role of technology in governance: The example of Privacy Enhancing Technologies

Data & Policy ◽  
2020 ◽  
Vol 2 ◽  
Author(s):  
Natasha McCarthy ◽  
Franck Fourniol
Keyword(s):  
Potential Role ◽  
Technological Development ◽  
Data Use ◽  
Its Analysis ◽  
Use Of Data ◽  
Current State ◽  
Support Organizations ◽  
Privacy Enhancing Technologies ◽  
Role Based

Abstract The collection of data, its analysis, and the publication of insights from data promise a range of benefits, but can carry risks for individuals and organizations. This paper sets out considerations regarding the potential role for technologies in governance of data use, and some key limitations. The paper examines the potential of Privacy Enhancing Technologies (PETs) to support organizations and institutions that handle data in governing data use, and considers their role based on their current state of development and the trajectory of technological development. This involves consideration both of how these technologies can potentially enable governments and others to unlock the value of data, and also recognition of both contingent and in principle limitations on the role of PETs in ensuring well-governed use of data.

Are Numbers Not Trusted in a “Post-Truth” Era? An Experiment on the Impact of Data on News Credibility

2019 ◽  
Vol 13 (4) ◽  
pp. 179-195
Author(s):  
Y. Roselyn Du ◽  
Lingzi Zhu ◽  
Benjamin K. L. Cheng
Keyword(s):  
Big Data ◽  
Data Driven ◽  
News Production ◽  
Perceived Credibility ◽  
Use Of Data ◽  
News Credibility ◽  
The Impact ◽  
Data Visualizations ◽  
Positive Effect

The term “post-truth” was declared by Oxford Dictionaries to be its 2016 “International Word of the Year,” signifying the advent of a so-called post-truth era with rising misinformation and declining trust in media. Meanwhile, the “age of data” has seen a proliferation of big data alongside an increase in data-driven journalism, which is one critical way to make professional journalists distinctive with the production of fact-based, authoritative news. Using devised variations of one news report as stimuli, this experiment involves five test groups to determine whether data and data visualizations impact the perceived credibility of news. Results show that only when accompanied by visualizations does the use of data have a positive effect. Findings suggest the necessity and significant role of data visualizations in news production. The study also reveals that increased use of data components in the news does not always contribute to its audience’s perception of news credibility.

scholarly journals Military Workforce Analytics

2021 ◽  
pp. 1-20
Author(s):  
Michelle C. Straver
Keyword(s):  
Decision Support ◽  
Workforce Planning ◽  
Research Field ◽  
Decision Makers ◽  
Data Driven ◽  
Military Organizations ◽  
Hierarchical Nature ◽  
Future Demands ◽  
Planning Problems

AbstractAs a consequence of the closed, hierarchical nature of military organizations, good planning is key to ensuring that a military workforce will be well-situated to meet future demands. This chapter explores the role of data-driven decision support (referred to as analytics) in military workforce planning. As an applied research field, analytics aims to provide actionable insights and practical solutions to questions posed by decision-makers. Since data underlie all analytics, this chapter touches on the challenges of data-related issues such as accessibility, integration, and completeness, highlighting the importance of understanding the data and the context around it. Next, several areas where analytics are used to solve military workforce planning problems are discussed. This will give the reader a sense of the breadth of the domain, as well as the various approaches that can be employed by a practitioner.

scholarly journals Big Data and Accounting: A Bibliometric Study

2021 ◽  
pp. 203-238
Author(s):  
Ashish Varma ◽  
◽  
Palmira Piedepalumbo ◽  
Daniela Mancini ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Bibliometric Analysis ◽  
Visual Analysis ◽  
Future Studies ◽  
Use Of Data ◽  
Body Of Knowledge ◽  
Current State ◽  
Scopus Database

Over the years, the importance and role of Big Data have grown considerably. Accountants’ work requires sound judgement and decision making, which makes their activities less conducive to automation. Nonetheless, it is useful for accountants to be at ease with the use of data analysis, especially when data are unstructured and relevant to decision making. This study aimed to visualize the research panorama on the theme “Big Data and accounting” to appreciate the current state of knowledge in this field. Bibliometric analysis was used to study literature on the topic of Big Data and accounting. The data were collected using the Scopus database to ascertain the authors, countries, keywords and journals that have contributed the most to this body of knowledge. VOSviewer software was used for data visualization. Through a visual analysis, the results reveal the current state of knowledge on the theme of Big Data and accounting, with significant implications for future works in this field. The findings also highlight the potential opportunities for future studies on this topic and on peripheral themes. Keywords: Big data, accounting, bibliometric analysis, digital accounting, research agenda.

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