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Questionable and open research practices: attitudes and perceptions among quantitative communication researchers

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Authors : Bert Bakker, Kokil Jaidka, Timothy Dörr, Neil Fasching, Yphtach Lelkes

Recent contributions have questioned the credibility of quantitative communication research. While questionable research practices are believed to be widespread, evidence for this claim is primarily derived from other disciplines.

Before change in communication research can happen, it is important to document the extent to which QRPs are used and whether researchers are open to the changes proposed by the so-called open science agenda.

We conducted a large survey among authors of papers published in the top-20 journals in communication science in the last ten years (N=1039). A non-trivial percent of researchers report using one or more QRPs. While QRPs are generally considered unacceptable, researchers perceive QRPs to be common among their colleagues.

At the same time, we find optimism about the use of open science practices in communication research. We end with a series of recommendations outlining what journals, institutions and researchers can do moving forward.

DOI : https://doi.org/10.31234/osf.io/7uyn5

Connecting the Knowledge Commons — From Projects to Sustainable Infrastructure

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Authors : Leslie Chan, Pierre Mounier

The question of sustainability in the open access movement has been widely debated, yet satisfactory answers have yet to be generated:
How do we move from an approach entirely based on temporary projects to an approach based on community-based sustainable infrastructure?
What kinds of social and technical infrastructures could support the Knowledge Commons?
What values and services are being delivered, by which stakeholders, and for whom?
What governance and financial models are possible?
Given the global nature of scholarly communication, how do we ensure that the designs of the Commons are inclusive of voices from the global South?

This volume collects nine selected papers presented at ELPUB2018 Conference in June 2018 in Toronto. Each paper was carefully selected, reviewed and edited to bring to an international audience the latest contributions from researchers and experts in the field.

In addition to the technical issues related to interoperability of systems, research workflow, content preservation, and other services, the selected papers address the design and implementation of a community-based research communication infrastructure.

ELPUB Conference has featured research results in various aspects of digital publishing for over two decades, involving a diverse international community of librarians, developers, publishers, entrepreneurs, administrators and researchers across the disciplines in the sciences and the humanities.

URL : http://books.openedition.org/oep/8999

The views, perspectives, and experiences of academic researchers with data sharing and reuse: A meta-synthesis

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Authors : Laure Perrier, Erik Blondal, Heather MacDonald

Background

Funding agencies and research journals are increasingly demanding that researchers share their data in public repositories. Despite these requirements, researchers still withhold data, refuse to share, and deposit data that lacks annotation.

We conducted a meta-synthesis to examine the views, perspectives, and experiences of academic researchers on data sharing and reuse of research data.

Methods

We searched the published and unpublished literature for studies on data sharing by researchers in academic institutions. Two independent reviewers screened citations and abstracts, then full-text articles.

Data abstraction was performed independently by two investigators. The abstracted data was read and reread in order to generate codes. Key concepts were identified and thematic analysis was used for data synthesis.

Results

We reviewed 2005 records and included 45 studies along with 3 companion reports. The studies were published between 2003 and 2018 and most were conducted in North America (60%) or Europe (17%).

The four major themes that emerged were data integrity, responsible conduct of research, feasibility of sharing data, and value of sharing data. Researchers lack time, resources, and skills to effectively share their data in public repositories.

Data quality is affected by this, along with subjective decisions around what is considered to be worth sharing. Deficits in infrastructure also impede the availability of research data. Incentives for sharing data are lacking.

Conclusion

Researchers lack skills to share data in a manner that is efficient and effective. Improved infrastructure support would allow them to make data available quickly and seamlessly. The lack of incentives for sharing research data with regards to academic appointment, promotion, recognition, and rewards need to be addressed.

URL : The views, perspectives, and experiences of academic researchers with data sharing and reuse: A meta-synthesis

DOI : https://doi.org/10.1371/journal.pone.0234275.s002

Institutional Repositories for Public Engagement : Creating a Common Good Model for an Engaged Campus

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Authors : Erik A. Moore, Valerie M. Collins, Lisa R. Johnston

Most higher-education institutions strive to be publicly engaged and community centered. These institutions leverage faculty, researchers, librarians, community liaisons, and communication specialists to meet this mission, but they have largely underutilized the potential of institutional repositories.

Academic institutions can use institutional repositories to provide open access and long-term preservation to institutional gray literature, research data, university publications, and campus research products that have tangible, real-world applications for the communities they serve.

Using examples from the University of Minnesota, this article demonstrates how making this content discoverable, openly accessible, and preserved for the future through an institutional repository not only increases the value of this publicly-engaged work but also creates a lasting record of a university’s public engagement efforts and contributes to the mission of the institution.

URL : Institutional Repositories for Public Engagement : Creating a Common Good Model for an Engaged Campus

DOI: https://doi.org/10.21900/j.jloe.v1i1.472

Open Data for Sustainable Development on a Knowledge-Based Economy: The Case of Botswana

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Authors: Oarabile Sebubi, Irina Zlotnikova, Hlomani Hlomani

A review of sustainable economic development perspectives reveals a lack of data-driven approaches that meet the needs of knowledge-based economies.

This paper presents a conceptual design artefact, a theoretical framework that maps the open data pathway toward the achievement of a knowledge-based economy and sustainable economic development with a specific reference to Botswana.

The proposed framework models the transition from open data to open knowledge. It further establishes the potential impact of that transition on the realisation of a knowledge-based economy, sustainable economic development, and the attainment of a knowledge society.

The method adopted in the development of the framework involves three processes: 1) review of literature on key research concepts; 2) identification of relationships between research concepts; and 3) design and development of the proposed open data framework.

The proposed framework will serve as a point of reference in open data-driven economic transitions and transformations in Botswana. This design artefact can be customised to meet the economic needs of other developing countries.

URL : Open Data for Sustainable Development on a Knowledge-Based Economy: The Case of Botswana

DOI : http://doi.org/10.5334/dsj-2020-044

Documenting Digital Projects: Instituting Guidelines for Digital Dissertations and Theses in the Humanities

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Authors : Roxanne Shirazi, Stephen Zweibel

Dissertations and theses with interactive digital components seldom fit neatly into the institutional format requirements designed for traditional humanities texts. This creates challenges for students, administrators, and librarians who are charged with preparing these works for library deposit.

While disciplinary acceptance of digital dissertations in the humanities may be increasing across institutions, little attention is given to the mechanics of documenting and submitting such projects.

Readers, also, are challenged to find and interpret digital projects that may not be entirely described in the accompanying paper. To address this, the authors examined a set of digital theses and dissertations at their institution to determine how these digital components might fit into traditional manuscript formatting guidelines.

This article introduces the resulting set of local documentation guidelines for digital dissertations and theses aimed at improving access, preservation, and reproducibility.

URL : Documenting Digital Projects: Instituting Guidelines for Digital Dissertations and Theses in the Humanities

DOI : https://doi.org/10.5860/crl.81.7.1123

ODDPub – a Text-Mining Algorithm to Detect Data Sharing in Biomedical Publications

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Authors: Nico Riedel, Miriam Kip, Evgeny Bobro

Open research data are increasingly recognized as a quality indicator and an important resource to increase transparency, robustness and collaboration in science. However, no standardized way of reporting Open Data in publications exists, making it difficult to find shared datasets and assess the prevalence of Open Data in an automated fashion.

We developed ODDPub (Open Data Detection in Publications), a text-mining algorithm that screens biomedical publications and detects cases of Open Data. Using English-language original research publications from a single biomedical research institution (n = 8689) and randomly selected from PubMed (n = 1500) we iteratively developed a set of derived keyword categories.

ODDPub can detect data sharing through field-specific repositories, general-purpose repositories or the supplement. Additionally, it can detect shared analysis code (Open Code).

To validate ODDPub, we manually screened 792 publications randomly selected from PubMed. On this validation dataset, our algorithm detected Open Data publications with a sensitivity of 0.73 and specificity of 0.97.

Open Data was detected for 11.5% (n = 91) of publications. Open Code was detected for 1.4% (n = 11) of publications with a sensitivity of 0.73 and specificity of 1.00. We compared our results to the linked datasets found in the databases PubMed and Web of Science.

Our algorithm can automatically screen large numbers of publications for Open Data. It can thus be used to assess Open Data sharing rates on the level of subject areas, journals, or institutions. It can also identify individual Open Data publications in a larger publication corpus. ODDPub is published as an R package on GitHub.

URL : ODDPub – a Text-Mining Algorithm to Detect Data Sharing in Biomedical Publications

DOI : http://doi.org/10.5334/dsj-2020-042