Research Data In Journals Research Articles

Smart Transportation System Evolution: a Comprehensive Mapping and Analysis

Smart transportation is an important trend worldwide, reducing accidents, traffic jams, and pollution. It uses technology and communication to parse errors and monitor everything online. This research aims to determine how to implement a smart transportation system to provide convenience for users and the city. Smart transportation systems are designed to reduce accidents, pollution, and other problems. However, many cities still need to implement them and require government approval. This research aims to implement the system in every city to ensure citizens can use it more. This research uses a qualitative and bibliometric analysis approach to analyze bibliographic research data in journals from 2012 to 2022. The cluster obtained from software shows that smart transportation uses the most electricity from ordinary transportation and requires a ready implementation system. Other topics related to implementing an intelligent transportation system, such as benefits and how to implement it, are obtained. The conclusion is that smart transportation must be implemented to reduce risks and make urban citizens feel more secure and comfortable using it.

Earth Science and Biodiversity Journals can Improve Support for Data Sharing

This study reviews research data policies and author instructions of 31 journals from the Earth sciences and from Biodiversity that are published by German learned societies or research institutions. 12 journals don’t address data sharing at all. The statements on data sharing of the journal’s data policies/author guidelines were matched to 14 defined features of journal research data policies. A brief discussion on quality of data policies is presented to raise awareness of German learned societies/research institutions and to guide them towards improved data policies of their journals.

Journal research data sharing policies: a study of highly-cited journals in neuroscience, physics, and operations research

The practices for if and how scholarly journals instruct research data for published research to be shared is an area where a lot of changes have been happening as science policy moves towards facilitating open science, and subject-specific repositories and practices are established. This study provides an analysis of the research data sharing policies of highly-cited journals in the fields of neuroscience, physics, and operations research as of May 2019. For these 120 journals, 40 journals per subject category, a unified policy coding framework was developed to capture the most central elements of each policy, i.e. what, when, and where research data is instructed to be shared. The results affirm that considerable differences between research fields remain when it comes to policy existence, strength, and specificity. The findings revealed that one of the most important factors influencing the dimensions of what, where and when of research data policies was whether the journal’s scope included specific data types related to life sciences which have established methods of sharing through community-endorsed public repositories. The findings surface the future research potential of approaching policy analysis on the publisher-level as well as on the journal-level. The collected data and coding framework is provided as open data to facilitate future research and journal policy monitoring.

Developing a Research Data Policy Framework for All Journals and Publishers

An output of the Data policy standardisation and implementation Interest Group (IG) of the Research Data Alliance (RDA) More journals and publishers – and funding agencies and institutions – are introducing research data policies. But as the prevalence of policies increases, there is potential to confuse researchers and support staff with numerous or conflicting policy requirements. We define and describe 14 features of journal research data policies and arrange these into a set of six standard policy types or tiers, which can be adopted by journals and publishers to promote data sharing in a way that encourages good practice and is appropriate for their audience’s perceived needs. Policy features include coverage of topics such as data citation, data repositories, data availability statements, data standards and formats, and peer review of research data. These policy features and types have been created by reviewing the policies of multiple scholarly publishers, which collectively publish more than 10,000 journals, and through discussions and consensus building with multiple stakeholders in research data policy via the Data Policy Standardisation and Implementation Interest Group of the Research Data Alliance. Implementation guidelines for the standard research data policies for journals and publishers are also provided, along with template policy texts which can be implemented by journals in their Information for Authors and publishing workflows. We conclude with a call for collaboration across the scholarly publishing and wider research community to drive further implementation and adoption of consistent research data policies. Publisher's Note: a correction article relating to this publication has been published and can be found at http://doi.org/10.5334/dsj-2020-017

Data Sharing and Engineering Faculty: An Analysis of Selected Publications

ABSTRACTFunding agency mandates have issued memorandums requiring applicants to submit a data management plan as well as the inclusion and support for public access to research data. This inclusion and access indicates growing trends among journal publishers. This article examines twenty-eight engineering journal research data policies to better understand the current state of data sharing, the relationship to open access, how data are shared with supplementary files, and how can we measure if the strength of data-sharing policies influences the observed pervasiveness of sharing data. The purpose of this study is to determine the pervasiveness and quality of data-sharing policies as reflected in editorial policies and the instructions to authors. Examining engineering journals scholarly communication policies provides an opportunity for data librarians to review and anticipate new data trends, opportunities, and challenges, to adjust library services, and adjust user expectations or negative preconceptions.

Correlation between impact factor and public availability of published research data in Information Science and Library Science journals

Scientists continuously generate research data but only a few of them are published. If these data were accessible and reusable, researchers could examine them and generate new knowledge. Our purpose is to determine whether there is a relationship between the impact factor and the policies concerning open availability of raw research data in journals of Information Science and Library Science (ISLS) subject category from the Web of Science database. We reviewed the policies related to public availability of papers and data sharing in the 85 journals included in the ISLS category of the Journal Citation Reports in 2012. The relationship between public availability of published data and impact factor of journals is analysed through different statistical tests. The variable statement of complementary material was accepted in 50 % of the journals; 65 % of the journals support reuse; 67 % of the journals specified in thematic or institutional repositories; the of the manuscript in a website was accepted in 69 % of the journals. We have found a 50 % of journals that include the possibility to deposit data as supplementary material, and more than 60 % accept reuse, storage in repositories and publication in websites. There is a clear positive relationship between being a top journal in impact factor ranking of JCR and having an open policy.

Making sense of journal research data policies

This article gives an overview of the findings from the first phase of the Jisc Journal Research Data Policy Registry pilot (JRDPR), which is currently under way. The project continues from the initial study, ‘Journal of Research Data policy bank’ (JoRD), carried out by Nottingham University’s Centre for Research Communication from 2012 to 2014. The project undertook an analysis of 250 journal research data policies to assess the feasibility of developing a policy registry to assist researchers and support staff to comply with research data publication requirements. The evidence shows that the current research data policy ecosystem is in critical need of standardization and harmonization if such services are to be built and implemented. To this end, the article proposes the next steps for the project with the objective of ultimately moving towards a modern research infrastructure based on machine-readable policies that support a more open scholarly communications environment.

Research data sharing: Developing a stakeholder‐driven model for journal policies

Conclusions of research articles depend on bodies of data that cannot be included in articles themselves. To share this data is important for reasons of both transparency and reuse. Science, Technology, and Medicine journals have a role in facilitating sharing, but by what mechanism is not yet clear. The Journal Research Data (JoRD) Project was a JISC (Joint Information Systems Committee)‐funded feasibility study on the potential for a central service on journal research data policies. The objectives of the study included identifying the current state of journal data sharing policies and investigating stakeholders’ views and practices. The project confirmed that a large percentage of journals have no data sharing policy and that there are inconsistencies between those that are traceable. This state leaves authors unsure of whether they should share article related data and where and how to deposit those data. In the absence of a consolidated infrastructure to share data easily, a model journal data sharing policy was developed by comparing quantitative information from analyzing existing journal data policies with qualitative data collected from stakeholders. This article summarizes and outlines the process by which the model was developed and presents the model journal data sharing policy.

Spinning the web of open science

Digital and information technologies have drastically changed the way how people work, interact professionally and socially and spend their leisure time. Scientific research is not exempt from these changes: the free and rapid flow of information, ideas and documents will both require and foster new habits of collaboration among researchers, stimulate economic activities and even improve public dialogue on science (http://royalsociety.org/policy/projects/science-public-enterprise/report/). “A growing body of evidence suggests that public visibility and constructive conversation on social media networks can be beneficial for scientists, impacting research in a number of key ways,” wrote computational biologist Holly Bik and marine biologist Miriam Goldstein [1]. The digital revolution could herald a new era of “open science” where scientists freely and easily share published work, experimental data, ideas and opinions and mutually benefit from the open and collaborative realm that is emerging in the digital age. Yet, not all is brave in the new digital world and scientists seem to be rather reluctant to engage in what the web 2.0 has to offer in terms of exchanging ideas. Most scientists use social media for two main reasons: networking with other researchers and for public visibility (Fig 1). “Scientists need to be engaged in new media platforms because everyone else is already talking about their thoughts and feelings, having discussions about things they care about, and generally—as the name implies—being social,” commented marine biologist and blogger Christie Wilcox [2]. Beyond making research more visible to funders or policymakers, social media may also help to build dialogue and constructive conversation with the general public, in particularly about sensitive topics, such as stem cell research or genetically modified food. “[W]e have to make a concentrated effort to get involved in the public discussion about science. We have to be approachable and available to talk …