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11 février 2022

Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits

Author : Andrea K. Thomer

Scientifically significant sites are the source of, and long-term repository for, considerable amounts of data—particularly in the natural sciences. However, the unique data practices of the researchers and resource managers at these sites have been relatively understudied.

Through case studies of two scientifically significant sites (the hot springs at Yellowstone National Park and the fossil deposits at the La Brea Tar Pits), I developed rich descriptions of site-based research and data curation, and high-level data models of information classes needed to support integrative data reuse.

Each framework treats the geospatial site and its changing natural characteristics as a distinct class of information; more commonly considered information classes such as observational and sampling data, and project metadata, are defined in relation to the site itself.

This work contributes (a) case studies of the values and data needs for researchers and resource managers at scientifically significant sites, (b) an information framework to support integrative reuse at these sites, and (c) a discussion of data practices at scientifically significant sites.

URL : Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits

DOI : https://doi.org/10.1002/asi.24620

10 février 202210 février 2022

Gender disparity in publication records: a qualitative study of women researchers in computing and engineering

Authors : Mohammad Hosseini, Shiva Sharifzad

Background

The current paper follows up on the results of an exploratory quantitative analysis that compared the publication and citation records of men and women researchers affiliated with the Faculty of Computing and Engineering at Dublin City University (DCU) in Ireland.

Quantitative analysis of publications between 2013 and 2018 showed that women researchers had fewer publications, received fewer citations per person, and participated less often in international collaborations.

Given the significance of publications for pursuing an academic career, we used qualitative methods to understand these differences and explore factors that, according to women researchers, have contributed to this disparity.

Methods

Sixteen women researchers from DCU’s Faculty of Computing and Engineering were interviewed using a semi-structured questionnaire. Once interviews were transcribed and anonymised, they were coded by both authors in two rounds using an inductive approach.

Results

Interviewed women believed that their opportunities for research engagement and research funding, collaborations, publications and promotions are negatively impacted by gender roles, implicit gender biases, their own high professional standards, family responsibilities, nationality and negative perceptions of their expertise and accomplishments.

Conclusions

Our study has found that women in DCU’s Faculty of Computing and Engineering face challenges that, according to those interviewed, negatively affect their engagement in various research activities, and, therefore, have contributed to their lower publication record.

We suggest that while affirmative programmes aiming to correct disparities are necessary, they are more likely to improve organisational culture if they are implemented in parallel with bottom-up initiatives that engage all parties, including men researchers and non-academic partners, to inform and sensitise them about the significance of gender equity.

URL : Gender disparity in publication records: a qualitative study of women researchers in computing and engineering

DOI : https://doi.org/10.1186/s41073-021-00117-3

10 février 2022

Research data management systems and the organization of universities and research institutes: A systematic literature review

Author : Eva Katharina Donner

New technological developments, the availability of big data, and the creation of research platforms open a variety of opportunities to generate, store, and analyze research data. To ensure the sustainable handling of research data, the European Commission as well as scientific commissions have recently highlighted the importance of implementing a research data management system (RDMS) in higher education institutes (HEI) which combines technical as well as organizational solutions.

A deep understanding of the requirements of research data management (RDM), as well as an overview of the different stakeholders, is a key prerequisite for the implementation of an RDMS.

Based on a scientific literature review, the aim of this study is to answer the following research questions: “What organizational factors need to be considered when implementing an RDMS? How do these organizational factors interact with each other and how do they constrain or facilitate the implementation of an RDMS?”

The structure of the analysis is built on the four components of Leavitt’s classical model of organizational change: task, structure, technology, and people. The findings reveal that the implementation of RDMS is strongly impacted by the organizational structure, infrastructure, labor culture as well as strategic considerations.

Overall, this literature review summarizes different approaches for the implementation of an RDMS. It also identifies areas for future research.

URL : Research data management systems and the organization of universities and research institutes: A systematic literature review

DOI : https://doi.org/10.1177%2F09610006211070282

10 février 2022

Academic social networks metrics: an effective indicator for university performance?

Authors : Łukasz Wiechetek, Zbigniew Pastuszak

Social networks have become popular among researchers and scientists. Specialized platforms for researchers offer many metrics and indicators which are used to evaluate various scientists and assess the strength of their impact. In this article the authors perform systematic comparison between the main university level ResearchGate (RG) metrics: total RG Score, number of publications, number of affiliated profiles and ARWU.

A tool for acquiring the RG metrics of research units and a framework for calculating alternative university ranks was implemented and tested. As a point of reference the ranking system of the Academic Ranking of World Universities (ARWU, 2019) was used. The authors used a web scraping technique to acquire data. Data analysis was based on Spearman’s rho and multiple linear regression (MLR).

Ten additional ranks were developed and compared with the benchmark ranking. The k-means clustering method was used to identify the groups of ARWU universities. The research results show that the metrics provided by specialized social networks can be used for the assessment of universities, however, an in-depth evaluation requires a more advanced procedure and indicators to measure many areas of scholarly activity like research, integration, application, teaching, and co-creation.

Clustering method showed also that the distance between the ARWU universities measured in values of RG metrics are bigger for the top of the ranking. The university authorities should encourage researchers to use specialized social networks, and train them how to do it, to promote not only their own achievements, but also to increase the impact and recognition of their respective research units.

At the end of the article some limitations of the method used and some practical recommendations for the university authorities were formulated.

URL : Academic social networks metrics: an effective indicator for university performance?

DOI : https://doi.org/10.1007/s11192-021-04258-6

10 février 2022

Publishing of COVID-19 preprints in peer-reviewed journals, preprinting trends, public discussion and quality issues

Authors : Ivan Kodvanj, Jan Homolak, Vladimir Trkulja

COVID-19-related (vs. non-related) articles appear to be more expeditiously processed and published in peer-reviewed journals.

We aimed to evaluate: (i) whether COVID-19-related preprints were favored for publication, (ii) preprinting trends and public discussion of the preprints, and (iii) the relationship between the publication topic (COVID-19-related or not) and quality issues.

Manuscripts deposited at bioRxiv and medRxiv between January 1 and September 27 2020 were assessed for the probability of publishing in peer-reviewed journals, and those published were evaluated for submission-to-acceptance time. The extent of public discussion was assessed based on Altmetric and Disqus data.

The Retraction Watch Database and PubMed were used to explore the retraction of COVID-19 and non-COVID-19 articles and preprints. With adjustment for the preprinting server and number of deposited versions, COVID-19-related preprints were more likely to be published within 120 days since the deposition of the first version (OR = 1.96, 95% CI: 1.80–2.14) as well as over the entire observed period (OR = 1.39, 95% CI: 1.31–1.48). Submission-to-acceptance was by 35.85 days (95% CI: 32.25–39.45) shorter for COVID-19 articles.

Public discussion of preprints was modest and COVID-19 articles were overrepresented in the pool of retracted articles in 2020. Current data suggest a preference for publication of COVID-19-related preprints over the observed period.

URL : https://doi.org/10.1007/s11192-021-04249-7

9 février 2022

Bringing All the Stakeholders to the Table: A Collaborative Approach to Data Sharing

Authors : Megan N. O’Donnell, Curtis Brundy

Objective

This paper examines a unique data set disclosure process at a medium sized, land grant, research university and the campus collaboration that led to its creation.

Methods

The authors utilized a single case study methodology, reviewing relevant documents and workflows. As first-hand participants in the collaboration and disclosure process development, their own accounts and experiences also were utilized.

Results

A collaborative approach to enhancing research data sharing is essential, considering the wide array of stakeholders involved across the life cycle of research data. A transparent, inclusive data set disclosure process is a viable route to ensuring research data can be appropriately shared.

Conclusions

Successful sharing of research data impacts a range of university units and individuals. The establishment of productive working relationships and trust between these stakeholders is critical to expanding the sharing of research data and to establishing shared workflows.

URL : Bringing All the Stakeholders to the Table: A Collaborative Approach to Data Sharing

DOI : https://doi.org/10.7191/jeslib.2022.1224