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Measuring and Mapping Data Reuse: Findings From an Interactive Workshop on Data Citation and Metrics for Data Reuse

Posted on by Hans Dillaerts

Author : Lisa Federer

Widely adopted standards for data citation are foundational to efforts to track and quantify data reuse. Without the means to track data reuse and metrics to measure its impact, it is difficult to reward researchers who share high-value data with meaningful credit for their contribution.

Despite initial work on developing guidelines for data citation and metrics, standards have not yet been universally adopted. This article reports on the recommendations collected from a workshop held at the Future of Research Communications and e-Scholarship (FORCE11) 2018 meeting titled Measuring and Mapping Data Reuse: An Interactive Workshop on Metrics for Data.

A range of stakeholders were represented among the participants, including publishers, researchers, funders, repository administrators, librarians, and others.

Collectively, they generated a set of 68 recommendations for specific actions that could be taken by standards and metrics creators; publishers; repositories; funders and institutions; creators of reference management software and citation styles; and researchers, students, and librarians.

These specific, concrete, and actionable recommendations would help facilitate broader adoption of standard citation mechanisms and easier measurement of data reuse.

URL : Measuring and Mapping Data Reuse: Findings From an Interactive Workshop on Data Citation and Metrics for Data Reuse

DOI : https://doi.org/10.1162/99608f92.ccd17b00

Non classé

Community curation in PomBase: enabling fission yeast experts to provide detailed, standardized, sharable annotation from research publications

Posted on by Hans Dillaerts

Authors : Antonia Lock, Midori A Harris, Kim Rutherford, Jacqueline Hayles, Valerie Wood

Maximizing the impact and value of scientific research requires efficient knowledge distribution, which increasingly depends on the integration of standardized published data into online databases.

To make data integration more comprehensive and efficient for fission yeast research, PomBase has pioneered a community curation effort that engages publication authors directly in FAIR-sharing of data representing detailed biological knowledge from hypothesis-driven experiments.

Canto, an intuitive online curation tool that enables biologists to describe their detailed functional data using shared ontologies, forms the core of PomBase’s system.

With 8 years’ experience, and as the author response rate reaches 50%, we review community curation progress and the insights we have gained from the project.

We highlight incentives and nudges we deploy to maximize participation, and summarize project outcomes, which include increased knowledge integration and dissemination as well as the unanticipated added value arising from co-curation by publication authors and professional curators.

URL : Community curation in PomBase: enabling fission yeast experts to provide detailed, standardized, sharable annotation from research publications

DOI : https://doi.org/10.1093/database/baaa028

Non classé

Data Sharing in the Context of Health-Related Citizen Science

Posted on by Hans Dillaerts

Authors : Mary A. Majumder, Amy L. McGuire

As citizen science expands, questions arise regarding the applicability of norms and policies created in the context of conventional science. This article focuses on data sharing in the conduct of health-related citizen science, asking whether citizen scientists have obligations to share data and publish findings on par with the obligations of professional scientists.

We conclude that there are good reasons for supporting citizen scientists in sharing data and publishing findings, and we applaud recent efforts to facilitate data sharing.

At the same time, we believe it is problematic to treat data sharing and publication as ethical requirements for citizen scientists, especially where there is the potential for burden and harm without compensating benefit.

DOI : https://doi.org/10.1177/1073110520917044

Non classé

Availability of research articles for the public during pandemic – a case study

Posted on by Hans Dillaerts

Author : Augustine Joshua Devasahayam

The coronavirus 2019 (COVID-19) disease has affected millions of lives, forcing most of us to stay at home and work. However, there is an immediate need to conduct research on potential drugs against COVID-19.

In this article, the extent to which major publishers have provided access for the public to read research articles relevant to potential drug candidates for the COVID-19 disease are presented.

A systematic search of five electronic databases (Elsevier’s ScienceDirect, Taylor & Francis, SpringerLink, Wiley, and New England Journal of Medicine (NEJM)) was conducted on April 12-17, 2020. The total number of research articles containing terms ‘Ribavirin’, ‘Remdesivir’, ‘Hydroxychloroquine OR Chloroquine’, ‘Favipiravir’, ‘Lopinavir OR Ritonavir’, ‘Sarilumab’, and ‘Tocilizumab’, available for the public to read for free were determined.

In this study, there was a lack of full access to research articles related to potential drugs of COVID-19 in commercial academic databases, except for ‘Remdesivir’ and ‘Favipiravir’ from NEJM.

URL : Availability of research articles for the public during pandemic – a case study

DOI : http://doi.org/10.18352/lq.10340

EN

Open Access and Altmetrics in the pandemic age: Forescast analysis on COVID-19 literature

Posted on by Hans Dillaerts

Authors : Daniel Torres-Salinas, Nicolas Robinson-Garcia, Pedro A. Castillo-Valdivieso

We present an analysis on the uptake of open access on COVID-19 related literature as well as the social media attention they gather when compared with non OA papers.

We use a dataset of publications curated by Dimensions and analyze articles and preprints. Our sample includes 11,686 publications of which 67.5% are openly accessible.

OA publications tend to receive the largest share of social media attention as measured by the Altmetric Attention Score. 37.6% of OA publications are bronze, which means toll journals are providing free access.

MedRxiv contributes to 36.3% of documents in repositories but papers in BiorXiv exhibit on average higher AAS. We predict the growth of COVID-19 literature in the following 30 days estimating ARIMA models for the overall publications set, OA vs. non OA and by location of the document (repository vs. journal).

We estimate that COVID-19 publications will double in the next 20 days, but non OA publications will grow at a higher rate than OA publications. We conclude by discussing the implications of such findings on the dissemination and communication of research findings to mitigate the coronavirus outbreak.

DOI : https://doi.org/10.1101/2020.04.23.057307

EN

Use of the journal impact factor for assessing individual articles need not be statistically wrong

Posted on by Hans Dillaerts

Authors : Ludo Waltman, Vincent A. Traag

Most scientometricians reject the use of the journal impact factor for assessing individual articles and their authors. The well-known San Francisco Declaration on Research Assessment also strongly objects against this way of using the impact factor.

Arguments against the use of the impact factor at the level of individual articles are often based on statistical considerations. The skewness of journal citation distributions typically plays a central role in these arguments.

We present a theoretical analysis of statistical arguments against the use of the impact factor at the level of individual articles. Our analysis shows that these arguments do not support the conclusion that the impact factor should not be used for assessing individual articles.

In fact, our computer simulations demonstrate the possibility that the impact factor is a more accurate indicator of the value of an article than the number of citations the article has received.

It is important to critically discuss the dominant role of the impact factor in research evaluations, but the discussion should not be based on misplaced statistical arguments. Instead, the primary focus should be on the socio-technical implications of the use of the impact factor.

URL : Use of the journal impact factor for assessing individual articles need not be statistically wrong

DOI : https://doi.org/10.12688/f1000research.23418.1

Non classé

Towards inclusive scholarly publishing: developments in the university press community

Posted on by Hans Dillaerts

Authors: Niccole Leilanionapae‘aina Coggins, Gisela Concepción Fosado, Christie Henry, Gita Manaktala

This article provides an overview of the ways in which the members of the Association of University Presses are working towards more inclusive practices in scholarly publishing.

The authors consider the Mellon University Press Diversity Fellowship Program (now in its fourth year), the work of the Association’s Diversity and Inclusion Task Force, the Gender, Equity and Cultures of Respect Task Force and the new Equity, Justice and Inclusion Committee.

They also look at press-based working groups and several ‘Toolkits for Equity’ that are currently in development.

The volunteers engaged in these and other efforts are working to document how bias has shaped universities and university presses, to propose actions to disrupt this powerful force and to share what they have learned with their colleagues as well as with the larger scholarly publishing and academic communities.

URL : Towards inclusive scholarly publishing: developments in the university press community

DOI : http://doi.org/10.1629/uksg.506