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

Two years into the Brazilian Reproducibility Initiative: reflections on conducting a large-scale replication of Brazilian biomedical science

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Author : Kleber Neves, Clarissa FD Carneiro, Ana Paula Wasilewska-Sampaio, Mariana Abreu, Bruna Valério-Gomes, Pedro B Tan, Olavo B Amaral

Scientists have increasingly recognised that low methodological and analytical rigour combined with publish-or-perish incentives can make the published scientific literature unreliable.

As a response to this, large-scale systematic replications of the literature have emerged as a way to assess the problem empirically. The Brazilian Reproducibility Initiative is one such effort, aimed at estimating the reproducibility of Brazilian biomedical research.

Its goal is to perform multicentre replications of a quasi-random sample of at least 60 experiments from Brazilian articles published over a 20-year period, using a set of common laboratory methods.

In this article, we describe the challenges of managing a multicentre project with collaborating teams across the country, as well as its successes and failures over the first two years.

We end with a brief discussion of the Initiative’s current status and its possible future contributions after the project is concluded in 2021.

URL : Two years into the Brazilian Reproducibility Initiative: reflections on conducting a large-scale replication of Brazilian biomedical science

DOI : https://doi.org/10.1590/0074-02760200328

The Enlightenment of Peer Review : How Academic Librarians Can Utilize Open Peer Review Methods to Advance Information Literacy

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Author : Sandra Moore

In today’s world of digital scholarly publishing, it is increasingly clear that movements such as open access (OA), Open Science, and open peer review (OPR) are increasingly impactful and gaining momentum.

The shift towards openness in the academy reveals a transformation of traditional structures that compose scholarly communication as well as changing attitudes about the nature of authority and access within these systems.

These new directions in the scholarly information landscape have created a need for academic librarians to realign roles and respond in ways that build resiliency in an era of rapid change.

Recognizing that many core elements of scholarly communication are powerful tools for teaching students about information literacy can lead to transformative instructional strategies.

This paper explores how academic librarians can leverage the innovative traits of OPR to advance information literacy through experiential student learning opportunities grounded in the ACRL (2016) Framework for Information Literacy for Higher Education.

URL : The Enlightenment of Peer Review : How Academic Librarians Can Utilize Open Peer Review Methods to Advance Information Literacy

DOI : https://doi.org/10.5206/elip.v3i1.8618

L’effet SIGAPS : La recherche médicale française sous l’emprise de l’évaluation comptable

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Auteurs/Authors : Yves Gingras, Mahdi Khelfaoui

Cette recherche a pour but de mettre en évidence les effets pervers générés par l’introduction du système SIGAPS (Système d’interrogation, de gestion, et d’analyse des publications scientifiques) sur la production scientifique française en médecine et en sciences biomédicales.

Cet outil biblio-métrique de gestion et de financement de la recherche présente un exemple emblématique des dé-rives que peuvent générer les méthodes d’évaluation de la recherche reposant sur des critères pu-rement comptables.

Dans cette note, nous présentons d’abord le fonctionnement de SIGAPS, pour ensuite expliquer précisément en quoi les méthodes de calcul des « points SIGAPS », fondés sur les facteurs d’impact des revues et l’ordre des noms des co-auteurs, posent de nombreux problèmes.

Nous identifions notamment les effets du système SIGAPS sur les dynamiques de publications, les choix des lieux de publications, la langue de publication et les critères de recrutement et de promotion des chercheurs.

Finalement, nous montrons que l’utilisation du système SIGAPS ne répond pas bien à tous les critères de ce que l’on pourrait appeler une « éthique de l’évaluation » qui devrait respecter certaines règles, comme la transparence, l’équité et la validité des indicateurs.

URL : https://cirst2.openum.ca/files/sites/179/2020/10/Note_2020-05vf.pdf

Gender gaps in research productivity and recognition among elite scientists in the U.S., Canada, and South Africa

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Authors : Creso Sá, Summer Cowley, Magdalena Martinez, Nadiia Kachynska, Emma Sabzalieva

This study builds upon the literature documenting gender disparities in science by investigating research productivity and recognition among elite scientists in three countries. This analysis departs from both the general comparison of researchers across organizational settings and academic appointments on one hand, and the definition of “elite” by the research outcome variables on the other, which are common in previous studies.

Instead, this paper’s approach considers the stratification of scientific careers by carefully constructing matched samples of men and women holding research chairs in Canada, the United States and South Africa, along with a control group of departmental peers.

The analysis is based on a unique, hand-curated dataset including 943 researchers, which allows for a systematic comparison of successful scientists vetted through similar selection mechanisms.

Our results show that even among elite scientists a pattern of stratified productivity and recognition by gender remains, with more prominent gaps in recognition. Our results point to the need for gender equity initiatives in science policy to critically examine assessment criteria and evaluation mechanisms to emphasize multiple expressions of research excellence.

URL : Gender gaps in research productivity and recognition among elite scientists in the U.S., Canada, and South Africa

DOI : https://doi.org/10.1371/journal.pone.0240903