Archives des mots-clés : research data management

It Takes a Researcher to Know a Researcher: Academic Librarian Perspectives Regarding Skills and Training for Research Data Support in Canada

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Author : Alisa B. Rod

Objective

This empirical study aims to contribute qualitative evidence on the perspectives of data-related librarians regarding the necessary skills, education, and training for these roles in the context of Canadian academic libraries.

A second aim of this study is to understand the perspectives of data-related librarians regarding the specific role of the MLIS in providing relevant training and education. The definition of a data-related librarian in this study includes any librarian or professional who has a conventional title related to a field of data librarianship (i.e., research data management, data services, GIS, data visualization, data science) or any other librarian or professional whose duties include providing data-related services within an academic institution.

Methods

This study incorporates in-depth qualitative empirical evidence in the form of 12 semi-structured interviews of data-related librarians to investigate first-hand perspectives on the necessary skills required for such positions and the mechanisms for acquiring and maintaining such skills.

Results

The interviews identified four major themes related to the skills required for library-related data services positions, including the perceived importance of experience conducting original research, proficiency in computational coding and quantitative methods, MLIS-related skills such as understanding metadata, and the ability to learn new skills quickly on the job.

Overall, the implication of this study regarding the training from MLIS programs concerning data-related librarianship is that although expertise in metadata, documentation, and information management are vital skills for data-related librarians, the MLIS is increasingly less competitive compared with degree programs that offer a greater emphasis on practical experience working with different types of data in a research context and implementing a variety of methodological approaches.

Conclusion

This study demonstrates that an in-depth qualitative portrait of data-related librarians within a national academic ecosystem provides valuable new insights regarding the perceived importance of conducting original empirical research to succeed in these roles.

URL : It Takes a Researcher to Know a Researcher: Academic Librarian Perspectives Regarding Skills and Training for Research Data Support in Canada

DOI : https://doi.org/10.18438/eblip30297

Open science in Sámi research: Researchers’ dilemmas

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Author : Coppélie Cocq

This article discusses the challenges of Indigenous research in relation to open science, more particularly in relation to Sámi research in Sweden. Based on interviews with active scholars in the multidisciplinary field of Sámi studies, and on policy documents by Sámi organizations, this article points at the challenges that can be identified, and the practices and strategies adopted or suggested by researchers.

Topics addressed include ownership, control, sensitivity and accessibility of data, the consequences of experienced limitations, the role of the historical context, and community-groundedness.

This article has the ambition to contribute with a discussion about the tensions between standards of data management/open science and data sovereignty in Indigenous contexts. This is done by bringing in perspectives from Indigenous methodologies (the 4 R) and by contextualizing research practices and forms of data colonialism in relation to our contemporary context of surveillance culture.

Research—in relation to ethics and social sustainability—is an arena where tensions between various agendas becomes obvious. This is illustrated in this article by researchers’ dilemmas when working with open science and the advancement of Indigenous research.

Efforts toward ethically valid and cultural-sensitive modes of data use are taking shape in Indigenous research, calling for an increased awareness about the topic. In the context of Sámi research, the role of academia in such a transformation is also essential.

URL : Open science in Sámi research: Researchers’ dilemmas

DOI : https://doi.org/10.3389/frma.2023.1095169

Evolution of research data management in academic libraries: A review of the literature

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Authors : Arslan Sheikh, Amara Malik, Rubina Adnan

This study provides insights into the evolution and conceptual framework of research data management (RDM). It also investigates the role of libraries and librarians in offering data management services and the challenges they face in this regard.

The study is qualitative in nature and based on an extensive literature review survey. The analysis of the reviewed literature reveals that the idea of RDM has emerged as a new addition to library research support services.

The more recent literature clearly established the pivotal role of libraries and librarians in developing and managing RDM services. However, data sharing practices and the development of RDM services in libraries are more prevalent in developed countries.

While these trends are still lacking among researchers and libraries in developing countries. Creating awareness among researchers about the benefits of data sharing is a challenging task for libraries.

Furthermore, institutional commitment, collaboration, academic engagement, technological infrastructure development, lack of policies, funding, and storage, skills, and competencies required for librarians to offer RDM-based services are some of the other significant challenges highlighted in the literature.

Certainly, RDM services are difficult and complicated; therefore, librarians need to master the skills of research data to offer library-based RDM services.

DOI : https://doi.org/10.1177/02666669231157405

Création d’un prototype de jeu sérieux sur la gestion des données de la recherche

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Autrices/Authors : Myriam Jouha, Pauline Mell, Alexia Tromber

Les professionnel-le-s de l’information travaillant en bibliothèque académique sont désormais régulièrement amené-e-s à accompagner des chercheurs et chercheuses dans la gestion de leurs données de recherche.

Dans le but d’offrir à ces professionnel-le-s une formation introductive sur cette thématique, nous avons conçu et testé un prototype de jeu sérieux. Ce projet a été réalisé dans le cadre du Master en Sciences de l’information à la Haute école de gestion de Genève.

Méthode : Notre méthodologie s’inspire de deux modèles de conception de jeux sérieux. Elle s’articule en trois étapes : (1) la phase de définition, qui présente les résultats de l’analyse des besoins, l’exploration de l’existant et le dispositif de formation ; (2) la production du prototype et les tests effectués ; (3) l’accompagnement et l’évaluation.

Résultats : Le jeu proposé, « Mission GDR : ultime quête avant les fêtes » est inspiré de la série de jeux d’évasion en boîte « Unlock ». Il s’agit d’un jeu collaboratif pour 1 à 4 participant-e-s dont l’objectif est de compléter une feuille de route représentant le cycle de vie des données et les tâches qui s’y rapportent. Cette feuille, accompagnée d’un guide complémentaire rappelant la théorie abordée dans le jeu, peut ensuite être réutilisée comme ressource dans la pratique professionnelle des joueuses et joueurs.

Discussion : Les tests effectués auprès de personnes aux profils divers démontrent que le jeu est apprécié pour ses aspects ludiques tout en offrant un apport théorique introductif. Initialement prévu pour les professionnel-le-s de l’informations, il pourrait également être proposé à d’autres personnes concernées par la gestion des données, notamment des équipes de recherche. Conçu pour être indépendant d’une session de formation, il est cependant tout à fait envisageable de l’intégrer dans un tel programme.

URL : Création d’un prototype de jeu sérieux sur la gestion des données de la recherche

DOI : https://doi.org/10.55790/journals/ressi.2023.e1093

Data Management Librarians Role in a Large Interdisciplinary Scientific Grant for PFAS Remediation: Considerations and Recommendations

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Authors : Jennifer Chaput, Renee Walsh

This article explores the conflicts, disparities, and inequalities experienced by two librarians when collaborating on a federal grant proposal. The authors discuss concerns related to time and salary expectations and the inequities that can occur during faculty and staff collaborations on research grants.

The bureaucratic structure and the job classifications of staff at academic institutions in addition to the contract limitations of non-faculty status librarian positions can hinder successful collaborations. The authors also describe data management needs that may occur when working with interdisciplinary research teams and detail the type of work that is included in writing a data management grant.

This article concludes with considerations and recommendations for other data librarians who may undertake similar projects with a focus on ways to create parity between faculty and staff collaborators.

URL : Data Management Librarians Role in a Large Interdisciplinary Scientific Grant for PFAS Remediation: Considerations and Recommendations

DOI : https://doi.org/10.7191/jeslib.616

Data Management Plans: Implications for Automated Analyses

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Authors : Ngoc-Minh Pham, Heather Moulaison-Sandy, Bradley Wade Bishop, Hannah Gunderman

Data management plans (DMPs) are an essential part of planning data-driven research projects and ensuring long-term access and use of research data and digital objects; however, as text-based documents, DMPs must be analyzed manually for conformance to funder requirements.

This study presents a comparison of DMPs evaluations for 21 funded projects using 1) an automated means of analysis to identify elements that align with best practices in support of open research initiatives and 2) a manually-applied scorecard measuring these same elements.

The automated analysis revealed that terms related to availability (90% of DMPs), metadata (86% of DMPs), and sharing (81% of DMPs) were reliably supplied. Manual analysis revealed 86% (n = 18) of funded DMPs were adequate, with strong discussions of data management personnel (average score: 2 out of 2), data sharing (average score 1.83 out of 2), and limitations to data sharing (average score: 1.65 out of 2).

This study reveals that the automated approach to DMP assessment yields less granular yet similar results to manual assessments of the DMPs that are more efficiently produced. Additional observations and recommendations are also presented to make data management planning exercises and automated analysis even more useful going forward.

URL : Data Management Plans: Implications for Automated Analyses

DOI : http://doi.org/10.5334/dsj-2023-002

RDM in a Decentralised University Ecosystem—A Case Study of the University of Cologne

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Authors : Constanze Curdt, Jens Dierkes, Sonja Kloppenburg

The University of Cologne (UoC) has historically grown in highly decentralised structures. This is reflected by a two-layered library structure as well as by a number of decentralised research data management (RDM) activities established on the faculty and research consortium level.

With the aim to foster networking, cooperation, and synergies between existing activities, a university-wide RDM will be established. A one-year feasibility study was commissioned by the Rectorate in 2016 and carried out by the department research management, library and computing centre.

One study outcome was the adoption of a university-wide research data guideline. Based on a comprehensive RDM service portfolio, measures were developed to put a central RDM into practice.

The challenges have been to find the right level of integration and adaptation of existing and established decentralised structures and to develop additional new structures and services.

We will report on first steps to map out central RDM practices at the UoC and to develop a structure of cooperation between loosely coupled information infrastructure actors. Central elements of this structure are a competence center, an RDM expert network, a forum for exchange about RDM and associated topics as well as the faculties with their decentralized, domain-specific RDM services.

The Cologne Competence Center for Research Data Management (C3RDM) was founded at the end of 2018 and is still in its development phase. It provides a one-stop entry point for all questions regarding RDM. T

he center itself provides basic and generic RDM services, such as training, consulting, and data publication support, and acts as a hub to the decentral experts, information infrastructure actors, and resources.

URL : RDM in a Decentralised University Ecosystem—A Case Study of the University of Cologne

DOI : http://doi.org/10.5334/dsj-2022-020