Research data management and services: Resources for different data practitioners

Author : Gilbert Mushi

The emergence of data-driven research and demands for the establishment of Research Data Management (RDM) has created interest in academic institutions and research organizations globally.

Some of the libraries especially in developed countries have started offering RDM services to their communities. Although lagging behind, some academic libraries in developing countries are at the stage of planning or implementing the service. However, the level of RDM awareness is very low among researchers, librarians and other data practitioners.

The objective of this paper is to present available open resources for different data practitioners particularly researchers and librarians.

It includes training resources for both researchers and librarians, Data Management Plan (DMP) tool for researchers; data repositories available for researchers to freely archive and share their research data to the local and international communities.

A case study with a survey was conducted at the University of Dodoma to identify relevant RDM services so that librarians could assist researchers to make their data accessible to the local and international community.

The study findings revealed a low level of RDM awareness among researchers and librarians. Over 50% of the respondent indicated their perceived knowledge as poor in the following RDM knowledge areas; DMP, data repository, long term digital preservation, funders RDM mandates, metadata standards describing data and general awareness of RDM.

Therefore, this paper presents available open resources for different data practitioners to improve RDM knowledge and boost the confidence of academic and research libraries in establishing the service.

URL : Research data management and services: Resources for different data practitioners

DOI : https://doi.org/10.29173/iq995

Extraction and validation of scientific data for the identification of publications in open access journals

Authors : Patrícia Mascarenhas Dias, Thiago Magela Rodrigues Dias, Gray Farias Moita, Adilson Luiz Pinto

This work aims to identify articles published in open access journals registered in the Lattes Platform curricula. Currently, the curricular data from the Lattes Platform has been the source of several studies that adopt bibliometric metrics to understand scientific evolution in Brazil. However, when registering a publication in a curriculum, only basic information from the magazine is informed.

Therefore, to quantify the publications made in open access journals, a strategy is proposed that uses data from the Directory of Open Access Journals, validating the publications and, thus, obtaining a process that allows identifying which publications were made in this communication format.

Therefore, using the proposed methodology, which has a low computational cost, it was possible to quantify in an unprecedented way the publications of Brazilians in open access journals registered in the curricula of the Lattes Platform.

In addition, having the authors’ data of the publications, it was possible to understand how these authors are geographically distributed in the country, what their areas of operation are and how they have published the results of their research in open access.

It is noteworthy that they are generally published in Portuguese and English. Over the last few years, the representativeness of publications in open access journals has increased.

URL : Extraction and validation of scientific data for the identification of publications in open access journals

DOI : https://doi.org/10.1590/2318-0889202234e210040

To protect and to serve: developing a road map for research data management services

Authors: Andrea Chiarelli, Neil Beagrie, Lotte Boon, Ruth Mallalieu, Rob Johnson, Amy Warner May, Rowan Wilso

Research Data Management (RDM) has become a major issue for universities over the last decade. This case study outlines the review of RDM services carried out at the University of Oxford in partnership with external consultants between November 2019 and November 2020.

It aims to describe and discuss the processes in undertaking a university-wide review of services supporting RDM and developing a future road map for them, with a strong emphasis on the design processes, methodological approaches and infographics used. The future road map developed is a live document, which the consulting team handed over to the University at the end of the consultation process.

It provides a suggested RDM action plan for the University that will continue to evolve and be iterated in the light of additional internal costings, available resources and reprioritization in the budget cycle for each academic year.

It is hoped that the contents of this case study will be useful to other research-intensive universities with an interest in developing and planning RDM services to support their researchers.

URL : To protect and to serve: developing a road map for research data management services

DOI : http://doi.org/10.1629/uksg.566

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

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

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

Exploring open access coverage of Wikipedia-cited research across the White Rose Universities

Authors : Andy Tattersall, Nick Sheppard, Thom Blake, Kate O’Neill, Christopher Carroll

The popular online encyclopaedia Wikipedia is an important and influential platform that assists with the communication of science to a global audience. Using data obtained from Altmetric.com and Unpaywall, we looked at research from the White Rose Universities (Sheffield, Leeds and York) that is cited on Wikipedia.

Of that research, we explored what percentage of citations were available open access (OA) and the location of those citations to ascertain whether they were hosted by publishers or within OA repositories.

This article explores the importance of access to OA research within such an important and leading platform as Wikipedia and how well it supports effective scientific communication across society.

URL : Exploring open access coverage of Wikipedia-cited research across the White Rose Universities

DOI : http://doi.org/10.1629/uksg.559