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Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work

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Authors : Samara Klar, Yanna Krupnikov, John Barry Ryan, Kathleen Searles, Yotam Shmargad

To disseminate research, scholars once relied on university media services or journal press releases, but today any academic can turn to Twitter to share their published work with a broader audience.

The possibility that scholars can push their research out, rather than hope that it is pulled in, holds the potential for scholars to draw wide attention to their research. In this manuscript, we examine whether there are systematic differences in the types of scholars who most benefit from this push model.

Specifically, we investigate the extent to which there are gender differences in the dissemination of research via Twitter.

We carry out our analyses by tracking tweet patterns for articles published in six journals across two fields (political science and communication), and we pair this Twitter data with demographic and educational data about the authors of the published articles, as well as article citation rates.

We find considerable evidence that, overall, article citations are positively correlated with tweets about the article, and we find little evidence to suggest that author gender affects the transmission of research in this new media.

URL : Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work

DOI : https://doi.org/10.1371/journal.pone.0229446

On the Willingness to Report and the Consequences of Reporting Research Misconduct: The Role of Power Relations

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Authors : Serge P. J. M. Horbach, Eric Breit, Willem Halffman, Svenn-Erik Mamelund

While attention to research integrity has been growing over the past decades, the processes of signalling and denouncing cases of research misconduct remain largely unstudied.

In this article, we develop a theoretically and empirically informed understanding of the causes and consequences of reporting research misconduct in terms of power relations.

We study the reporting process based on a multinational survey at eight European universities (N = 1126). Using qualitative data that witnesses of research misconduct or of questionable research practices provided, we aim to examine actors’ rationales for reporting and not reporting misconduct, how they report it and the perceived consequences of reporting.

In particular we study how research seniority, the temporality of work appointments, and gender could impact the likelihood of cases being reported and of reporting leading to constructive organisational changes.

Our findings suggest that these aspects of power relations play a role in the reporting of research misconduct. Our analysis contributes to a better understanding of research misconduct in an academic context.

Specifically, we elucidate the processes that affect researchers’ ability and willingness to report research misconduct, and the likelihood of universities taking action.

Based on our findings, we outline specific propositions that future research can test as well as provide recommendations for policy improvement.

URL : On the Willingness to Report and the Consequences of Reporting Research Misconduct: The Role of Power Relations

DOI : https://doi.org/10.1007/s11948-020-00202-8

SPI-Hub™: a gateway to scholarly publishing information

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Authors : Taneya Y. Koonce, Mallory N. Blasingame, Jerry Zhao, Annette M. Williams, Jing Su, Spencer J. DesAutels, Dario A. Giuse, John D. Clark, Zachary E. Fox, Nunzia Bettinsoli Giuse

Background

Advances in the health sciences rely on sharing research and data through publication. As information professionals are often asked to contribute their knowledge to assist clinicians and researchers in selecting journals for publication, the authors recognized an opportunity to build a decision support tool, SPI-Hub: Scholarly Publishing Information Hub™, to capture the team’s collective publishing industry knowledge, while carefully retaining the quality of service.

Case Presentation

SPI-Hub’s decision support functionality relies on a data framework that describes journal publication policies and practices through a newly designed metadata structure, the Knowledge Management Journal Record™.

Metadata fields are populated through a semi-automated process that uses custom programming to access content from multiple sources. Each record includes 25 metadata fields representing best publishing practices. Currently, the database includes more than 24,000 health sciences journal records.

To correctly capture the resources needed for both completion and future maintenance of the project, the team conducted an internal study to assess time requirements for completing records through different stages of automation.

Conclusions

The journal decision support tool, SPI-Hub, provides an opportunity to assess publication practices by compiling data from a variety of sources in a single location.

Automated and semi-automated approaches have effectively reduced the time needed for data collection.

Through a comprehensive knowledge management framework and the incorporation of multiple quality points specific to each journal, SPI-Hub provides prospective users with both recommendations for publication and holistic assessment of the trustworthiness of journals in which to publish research and acquire trusted knowledge.

URL : SPI-Hub™: a gateway to scholarly publishing information

Original location : http://jmla.pitt.edu/ojs/jmla/article/view/815

The impact of institutional repositories: a systematic review

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Authors : Michelle R. Demetres, Diana Delgado, Drew N. Wright

Objective

Institutional repositories are platforms for presenting and publicizing scholarly output that might not be suitable to publish in a peer-reviewed journal or that must meet open access requirements.

However, there are many challenges associated with their launch and up-keep. The objective of this systematic review was to define the impacts of institutional repositories (IRs) on an academic institution, thus justifying their implementation and/or maintenance.

Methods

A comprehensive literature search was performed in the following databases: Ovid MEDLINE, Ovid EMBASE, the Cochrane Library (Wiley), ERIC (ProQuest), Web of Science (Core Collection), Scopus (Elsevier), and Library, Information Science & Technology Abstracts (EBSCO). A total of 6,593 citations were screened against predefined inclusion and exclusion criteria.

Results

Thirteen included studies were divided into 3 areas of impact: citation count, exposure or presence, and administrative impact. Those focusing on citation count (n=5) and exposure or presence (n=7) demonstrated positive impacts of IRs on institutions and researchers.

One study focusing on administrative benefit demonstrated the utility of IRs in automated population of ORCID profiles.

Conclusion

Based on the available literature, IRs appear to have a positive impact on citation count, exposure or presence, and administrative burden. To draw stronger conclusions, more and higher-quality studies are needed.

URL : The impact of institutional repositories: a systematic review

Original location : http://jmla.pitt.edu/ojs/jmla/article/view/856

Journal data policies: Exploring how the understanding of editors and authors corresponds to the policies themselves

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Authors : Thu-Mai Christian, Amanda Gooch, Todd Vision, Elizabeth Hull

Despite the increase in the number of journals issuing data policies requiring authors to make data underlying reporting findings publicly available, authors do not always do so, and when they do, the data do not always meet standards of quality that allow others to verify or extend published results.

This phenomenon suggests the need to consider the effectiveness of journal data policies to present and articulate transparency requirements, and how well they facilitate (or hinder) authors’ ability to produce and provide access to data, code, and associated materials that meet quality standards for computational reproducibility.

This article describes the results of a research study that examined the ability of journal-based data policies to: 1) effectively communicate transparency requirements to authors, and 2) enable authors to successfully meet policy requirements.

To do this, we conducted a mixed-methods study that examined individual data policies alongside editors’ and authors’ interpretation of policy requirements to answer the following research questions.

Survey responses from authors and editors along with results from a content analysis of data policies found discrepancies among editors’ assertion of data policy requirements, authors’ understanding of policy requirements, and the requirements stated in the policy language as written.

We offer explanations for these discrepancies and offer recommendations for improving authors’ understanding of policies and increasing the likelihood of policy compliance.

URL : Journal data policies: Exploring how the understanding of editors and authors corresponds to the policies themselves

DOI : https://doi.org/10.1371/journal.pone.0230281

GitHub Repositories with Links to Academic Papers: Open Access, Traceability, and Evolution

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Authors : Supatsara Wattanakriengkrai, Bodin Chinthanet, Hideaki Hata, Raula Gaikovina Kula, Christoph Treude, Jin Guo, Kenichi Matsumoto

Traceability between published scientific breakthroughs and their implementation is essential, especially in the case of Open Source Software implements bleeding edge science into its code. However, aligning the link between GitHub repositories and academic papers can prove difficult, and the link impact remains unknown.

This paper investigates the role of academic paper references contained in these repositories. We conducted a large-scale study of 20 thousand GitHub repositories to establish prevalence of references to academic papers. We use a mixed-methods approach to identify Open Access (OA), traceability and evolutionary aspects of the links.

Although referencing a paper is not typical, we find that a vast majority of referenced academic papers are OA. In terms of traceability, our analysis revealed that machine learning is the most prevalent topic of repositories. These repositories tend to be affiliated with academic communities. More than half of the papers do not link back to any repository.

A case study of referenced arXiv paper shows that most of these papers are high-impact and influential and do align with academia, referenced by repositories written in different programming languages. From the evolutionary aspect, we find very few changes of papers being referenced and links to them.

URL : https://arxiv.org/abs/2004.00199