Open science in Sámi research: Researchers’ dilemmas

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


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

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.


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

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


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

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


Data Management Plans: Implications for Automated Analyses

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


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

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


An iterative and interdisciplinary categorisation process towards FAIRer digital resources for sensitive life-sciences data

Authors : Romain David, Christian Ohmann, Jan‑Willem Boiten, Mónica Cano Abadía, Florence Bietrix, Steve Canham, Maria Luisa Chiusano, Walter Dastrù, Arnaud Laroquette, Dario Longo, Michaela Th. Mayrhofer, Maria Panagiotopoulou, Audrey S. Richard, Sergey Goryanin, Pablo Emilio Verde

For life science infrastructures, sensitive data generate an additional layer of complexity. Cross-domain categorisation and discovery of digital resources related to sensitive data presents major interoperability challenges. To support this FAIRification process, a toolbox demonstrator aiming at support for discovery of digital objects related to sensitive data (e.g., regulations, guidelines, best practice, tools) has been developed.

The toolbox is based upon a categorisation system developed and harmonised across a cluster of 6 life science research infrastructures. Three different versions were built, tested by subsequent pilot studies, finally leading to a system with 7 main categories (sensitive data type, resource type, research field, data type, stage in data sharing life cycle, geographical scope, specific topics).

109 resources attached with the tags in pilot study 3 were used as the initial content for the toolbox demonstrator, a software tool allowing searching of digital objects linked to sensitive data with filtering based upon the categorisation system.

Important next steps are a broad evaluation of the usability and user-friendliness of the toolbox, extension to more resources, broader adoption by different life-science communities, and a long-term vision for maintenance and sustainability.

URL : An iterative and interdisciplinary categorisation process towards FAIRer digital resources for sensitive life-sciences data