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Research Data and Data Papers
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Research Data and Data Papers

A special issue of Publications (ISSN 2304-6775).

Deadline for manuscript submissions: closed (10 October 2022) | Viewed by 26384

Special Issue Editor

Dr. Jorge Revez

E-Mail Website1 Website2
Guest Editor
Centre for Classical Studies, School of Arts and Humanities, University of Lisbon, Lisbon, Portugal
Interests: academic libraries; open science; scholarly communication; knowledge organization

Special Issue Information

Dear Colleagues,

In the last ten years, the field of research data studies has grown markedly. Organizations such as the Research Data Alliance (launched as a community-driven initiative in 2013 by the European Commission, the USA Government's National Science Foundation and NIST, and the Australian Government's Department of Innovation) have more than 12K members globally, representing 146 countries. This growth is related to profound changes in scholarly communication flows:

- The impact of digital technologies and the robustness of communication networks on a global scale;

- The development of the open access and open science movements;

- The consolidation of repositories as online archives of science and the affirmation of research data management as a work field for information professionals;

- The changes in the editorial strategies of scientific publishing;

- The formation of international research and data exchange networks at an ever-increasing speed.

After 2020, the COVID-19 pandemic strengthened the need for research data to be considered as a fundamental pillar of scholarly communication. Data interoperability and research reproducibility must be considered priorities for the third decade of the 21st century.

Publications is a journal concerned with the dialogue between researchers and also with how researchers interact with society. This Special Issue aims to bring together papers that showcase recent research on research data, not only focusing on the internal science communication but also including research data as a link to connect science and society.

Fundamentally, the Special Issue seeks to highlight research on:

- Data papers and data journals;

- Data repositories and research data management;

- Open research data, open science, and FAIR principles;

- Forms of data interoperability and research reproducibility.

Dr. Jorge Revez
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Publications is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

 

Keywords

  • research data
  • data papers
  • data journals
  • data repositories
  • research data management
  • open research data
  • open science
  • fair principles
  • interoperability
  • reproducibility

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (6 papers)

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Research

29 pages, 4031 KiB  
Article
Indonesian Scientists’ Behavior Relative to Research Data Governance in Preventing WMD-Applicable Technology Transfer
by Lindung Parningotan Manik, Zaenal Akbar, Aris Yaman and Ariani Indrawati
Publications 2022, 10(4), 50; https://doi.org/10.3390/publications10040050 - 8 Dec 2022
Cited by 3 | Viewed by 2570
Abstract
Performing research data governance is critical for preventing the transfer of technologies related to weapons of mass destruction (WMD). While research data governance is common in developed countries, it is still often considered less necessary by research organizations in developing countries such as [...] Read more.
Performing research data governance is critical for preventing the transfer of technologies related to weapons of mass destruction (WMD). While research data governance is common in developed countries, it is still often considered less necessary by research organizations in developing countries such as Indonesia. An investigation of research data governance behavior for Indonesian scientists was conducted in this study. The theories of planned behavior (TPB) and protection motivation (PMT) were used to explain the relationships between different factors influencing scientists’ behavior. The theories have been widely used in the information security domain, and the approach was adopted to build the research model of this study. The obtained data were analyzed using partial least-squares structural equation modeling (PLS-SEM) to answer the main research question: “what factors determine the likelihood of practicing research data governance by Indonesian scientists to prevent WMD-applicable technology transfer?” By learning what motivates scientists to adopt research data governance practices, organizations can design relevant strategies that are directed explicitly at stimulating positive responses. The results of this study can also be applied in other developing countries that have similar situations, such as Indonesia. Full article
(This article belongs to the Special Issue Research Data and Data Papers)
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40 pages, 8745 KiB  
Article
Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences
by Barbara McGillivray, Paola Marongiu, Nilo Pedrazzini, Marton Ribary, Mandy Wigdorowitz and Eleonora Zordan
Publications 2022, 10(4), 39; https://doi.org/10.3390/publications10040039 - 15 Oct 2022
Cited by 13 | Viewed by 7130
Abstract
The humanities and social sciences (HSS) have recently witnessed an exponential growth in data-driven research. In response, attention has been afforded to datasets and accompanying data papers as outputs of the research and dissemination ecosystem. In 2015, two data journals dedicated to HSS [...] Read more.
The humanities and social sciences (HSS) have recently witnessed an exponential growth in data-driven research. In response, attention has been afforded to datasets and accompanying data papers as outputs of the research and dissemination ecosystem. In 2015, two data journals dedicated to HSS disciplines appeared in this landscape: Journal of Open Humanities Data (JOHD) and Research Data Journal for the Humanities and Social Sciences (RDJ). In this paper, we analyse the state of the art in the landscape of data journals in HSS using JOHD and RDJ as exemplars by measuring performance and the deep impact of data-driven projects, including metrics (citation count; Altmetrics, views, downloads, tweets) of data papers in relation to associated research papers and the reuse of associated datasets. Our findings indicate: that data papers are published following the deposit of datasets in a repository and usually following research articles; that data papers have a positive impact on both the metrics of research papers associated with them and on data reuse; and that Twitter hashtags targeted at specific research campaigns can lead to increases in data papers’ views and downloads. HSS data papers improve the visibility of datasets they describe, support accompanying research articles, and add to transparency and the open research agenda. Full article
(This article belongs to the Special Issue Research Data and Data Papers)
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13 pages, 3220 KiB  
Article
The Influence of International Collaboration on the Scientific Impact in V4 Countries
by Zsolt Kohus, Márton Demeter, Gyula Péter Szigeti, László Kun, Eszter Lukács and Katalin Czakó
Publications 2022, 10(4), 35; https://doi.org/10.3390/publications10040035 - 28 Sep 2022
Cited by 8 | Viewed by 4343
Abstract
Several strategies are used by researchers and research facilities to increase their scientific production and consequent research quality. Bibliometric records show that coauthorship and the number of participating organizations in research publications are steadily increasing; however, the effect of collaboration varies across disciplines, [...] Read more.
Several strategies are used by researchers and research facilities to increase their scientific production and consequent research quality. Bibliometric records show that coauthorship and the number of participating organizations in research publications are steadily increasing; however, the effect of collaboration varies across disciplines, and the corresponding author’s country appears to influence research impact. This finding inspired our research question for this study: How does international cooperation affect scientific impact, and does the affiliation of corresponding authors influence citation impact indicators at the level of individual publications? To this end, we provide a comparative evaluation of research articles published in Q1 journals among Visegrad Group countries (Czech Republic, Hungary, Poland and Slovakia) in Medical and Health sciences between 2017 and 2021. The study investigates the relationship between collaboration type (national vs. international) and scientific impact (impact factor of the journal and category normalized citation impact or research papers), as well as the impact of the country of the corresponding author’s affiliation on quantitative quality of individual papers. We show that Q1 research papers in international collaboration have a higher scientific impact than papers published in national partnerships. Moreover, the corresponding authors’ country of affiliation significantly affects scientific impact. Full article
(This article belongs to the Special Issue Research Data and Data Papers)
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36 pages, 4647 KiB  
Article
“Who Is the FAIRest of Them All?” Authors, Entities, and Journals Regarding FAIR Data Principles
by Luis Corujo
Publications 2022, 10(3), 31; https://doi.org/10.3390/publications10030031 - 8 Sep 2022
Viewed by 3486
Abstract
The perceived need to improve the infrastructure supporting the re-use of scholarly data since the second decade of the 21st century led to the design of a concise number of principles and metrics, named FAIR Data Principles. This paper, part of an [...] Read more.
The perceived need to improve the infrastructure supporting the re-use of scholarly data since the second decade of the 21st century led to the design of a concise number of principles and metrics, named FAIR Data Principles. This paper, part of an extended study, intends to identify the main authors, entities, and scientific journals linked to research conducted within the FAIR Data Principles. The research was developed by means of a qualitative approach, using documentary research and a constant comparison method for codification and categorization of the sampled data. The sample studied showed that most authors were located in the Netherlands, with Europe accounting for more than 70% of the number of authors considered. Most of these are researchers and work in higher education institutions. These entities can be found in most of the territorial-administrative areas under consideration, with the USA being the country with more entities and Europe being the world region where they are more numerous. The journal with more texts in the used sample was Insights, with 2020 being the year when more texts were published. Two of the most prominent authors present in the sample texts were located in the Netherlands, while the other two were in France and Australia. Full article
(This article belongs to the Special Issue Research Data and Data Papers)
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14 pages, 5771 KiB  
Article
Malaria Publications before and during COVID-19 Pandemic: A Bibliometric Analysis
by Wanida Mala, Polrat Wilairatana, Apichai Wattanapisit, Kwuntida Uthaisar Kotepui and Manas Kotepui
Publications 2022, 10(3), 28; https://doi.org/10.3390/publications10030028 - 12 Aug 2022
Cited by 2 | Viewed by 2632
Abstract
Coronavirus disease 2019 (COVID-19) has been reported to affect malaria intervention strategies, the suspension of malaria elimination programs, and the publication of malaria research. We compared differences in authorship, affiliations, countries, funding sources, article types, keywords, languages, and citations between studies published before [...] Read more.
Coronavirus disease 2019 (COVID-19) has been reported to affect malaria intervention strategies, the suspension of malaria elimination programs, and the publication of malaria research. We compared differences in authorship, affiliations, countries, funding sources, article types, keywords, languages, and citations between studies published before and during the COVID-19 pandemic. The searches were performed online using the Scopus database on 8 April 2022. The searches were limited to two periods: before the COVID-19 pandemic (2018–2019) and during the COVID-19 pandemic (2020–2021). The information of authorship, affiliations, countries, funding sources, article types, keywords, languages, and citations between studies published before and during the COVID-19 pandemic were compared using frequency and percentage. The relationships between the most productive authors, countries, affiliations, journals, and frequently used keywords were visualized using the VOSviewer (version 1.6.18) software. A total of 2965 articles were identified in two periods and, among those, 1291 relevant studies were included. There was no difference in malaria publications before and during the COVID-19 pandemic (679 articles, 52.6% vs. 612 articles, 47.4%). Compared between the two periods, the preliminary trend of malaria publications in terms of authorship, affiliations, countries, funding sources, article types, keywords, languages, and citations were different. In conclusion, the current study showed the preliminary trends in malaria publications before and during the COVID-19 pandemic. The findings of this study would encourage researchers to perform a scoping review or systematic review to better understand the direction of malaria publications during the COVID-19 pandemic. Full article
(This article belongs to the Special Issue Research Data and Data Papers)
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14 pages, 4354 KiB  
Article
RecSys Pertaining to Research Information with Collaborative Filtering Methods: Characteristics and Challenges
by Otmane Azeroual and Tibor Koltay
Publications 2022, 10(2), 17; https://doi.org/10.3390/publications10020017 - 2 Apr 2022
Cited by 5 | Viewed by 3822
Abstract
Recommendation (recommender) systems have played an increasingly important role in both research and industry in recent years. In the area of publication data, for example, there is a strong need to help people find the right research information through recommendations and scientific reports. [...] Read more.
Recommendation (recommender) systems have played an increasingly important role in both research and industry in recent years. In the area of publication data, for example, there is a strong need to help people find the right research information through recommendations and scientific reports. The difference between search engines and recommendation systems is that search engines help us find something we already know, while recommendation systems are more likely to help us find new items. An essential function of recommendation systems is to support users in their decision making. Recommendation systems are information systems that can be categorized into decision support systems, as long as they are used for decision making and are intended to support people instead of replacing them. This paper deals with recommendation systems for research information, especially publication data. We discuss and analyze the challenges and peculiarities of implementing recommender systems for the scientific exchange of research information. For this purpose, data mining techniques are examined and a concept for a recommendation system for research information is developed. Our aim is to investigate to what extent a recommendation system based on a collaborative filtering approach with cookies is possible. The data source is publication data extracted from cookies in the Web of Science database. The results of our investigation show that a collaborative filtering process is suitable for publication data and that recommendations can be generated with user information. In addition, we have seen that collaborative filtering is an important element that can solve a practical problem by sifting through large amounts of dynamically generated information to provide users with personalized content and services. Full article
(This article belongs to the Special Issue Research Data and Data Papers)
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