Data librarian et services aux chercheurs en bibliothèque universitaire : de nouvelles médiations en émergence

Auteur/Author : Florence Thiault

Les services à destination des chercheurs se développent dans les bibliothèques universitaires françaises. L’augmentation de la quantité de données de recherche produites et réutilisées par les chercheurs pose des défis importants aux bibliothèques universitaires.

De nouvelles compétences associées à un profil professionnel spécifique celui de datalibrarian sont nécessaires pour assurer ces missions d’accompagnement à la recherche. Ce spécialiste des données à vocation à accompagner les chercheurs dans le cycle de vie de la recherche en assurant une collaboration active avec une série d’acteurs internes et externes.

Cette communication présente trois cas d’études emblématiques dans le registre des médiations à destination des chercheurs : l’analyse de la production scientifique, l’accompagnement à la recherche et à la publication ainsi que la gestion des données de recherche.

URL : https://hal.archives-ouvertes.fr/hal-02972705

Who Does What? – Research Data Management at ETH Zurich

Authors: Matthias Töwe, Caterina Barillari

We present the approach to Research Data Management (RDM) support for researchers taken at ETH Zurich. Overall requirements are governed by institutional guidelines for Research Integrity, funders’ regulations, and legal obligations. The ETH approach is based on the distinction of three phases along the research data life-cycle: 1. Data Management Planning; 2. Active RDM; 3. Data Publication and Preservation. Two ETH units, namely the Scientific IT Services and the ETH Library, provide support for different aspects of these phases, building on their respective competencies. They jointly offer trainings, consulting, information, and materials for the first phase.

The second phase deals with data which is in current use in active research projects. Scientific IT Services provide their own platform, openBIS, for keeping track of raw, processed and analysed data, in addition to organising samples, materials, and scientific procedures.

ETH Library operates solutions for the third phase within the infrastructure of ETH Zurich’s central IT Services. The Research Collection is the institutional repository for research output including Research Data, Open Access publications, and ETH Zurich’s bibliography.

URL : Who Does What? – Research Data Management at ETH Zurich

DOI : http://doi.org/10.5334/dsj-2020-036

Research data management policy and practice in Chinese university libraries

Authors : Yingshen Huang, Andrew M. Cox, Laura Sbaffi

On April 2, 2018, the State Council of China formally released a national Research Data Management (RDM) policy “Measures for Managing Scientific Data”. In this context and given that university libraries have played an important role in supporting RDM at an institutional level in North America, Europe, and Australasia, the aim of this article is to explore the current status of RDM in Chinese universities, in particular how university libraries have been involved in taking the agenda forward.

This article uses a mixed‐methods data collection approach and draws on a website analysis of university policies and services; a questionnaire for university librarians; and semi‐structured interviews. Findings indicate that Research Data Service at a local level in Chinese Universities are in their infancy.

There is more evidence of activity in developing data repositories than support services. There is little development of local policy. Among the explanations of this may be the existence of a national‐level infrastructure for some subject disciplines, the lack of professionalization of librarianship, and the relatively weak resonance of openness as an idea in the Chinese context.

URL : Research data management policy and practice in Chinese university libraries

DOI : https://doi.org/10.1002/asi.24413

Données à penser. Enjeux pratiques et éthiques autour des données dans le montage de projets de recherche européens

Auteurs/Authors : Delphine Cavallo, Camille Noûs

Cet article prend la forme d’un retour d’expérience sur le montage de projets de recherche européens, en déroulant les enchaînements entre objectifs, contraintes et prises de décisions autour de deux cas concrets.

Il montre comment les acteurs de ces projets – porteurs et porteuses scientifiques comme ingénieur-e-s – tentent de penser une réponse à la fois scientifique, documentaire, technologique et éthique aux exigences de la Commission européenne en matière de gestion des données de la recherche, à un moment où ces exigences ne correspondent ni à des métiers et pratiques intégrés dans les structures de recherche, ni à des routines ou des besoins identifiés parmi les équipes de recherche.

Il plaide pour la prise en compte conjointe entre chercheurs et chercheuses et ingénieur-e-s des enjeux éthiques liés à la gestion des données dès le montage des projets.

DOI : https://doi.org/10.4000/traces.10793

Models for Engaging Liaisons in Research Data Services

Authors : Megan Sapp Nelson, Abigail Goben

Research data services in academic libraries is often perceived as the purview of liaison librarians. A variety of models has emerged by which these services may be developed or implemented.

These include hierarchical models and those based more on individual interest. Of critical importance with any model, however, is the identification of support and opportunities for engagement from library administration and management in order to grow and assess the implementation of research data services.

URL : Models for Engaging Liaisons in Research Data Services

DOI : https://doi.org/10.7710/2162-3309.2382

Research Data Management for Master’s Students: From Awareness to Action

Authors: Daen Adriaan Ben Smits, Marta Teperek

This article provides an analysis of how sixteen recently graduated master’s students from the Netherlands perceive research data management. It is important to study the master’s students’ attitudes towards this, as students in this phase prepare themselves for their career. Some of them might become future academics or policymakers, thus, potentially, the future advocates of good data management and reproducible science.

In general, students were rather unsure what ‘data management’ meant and would often confuse it with data analysis, study design or methodology, or ethics and privacy. When students defined the concept, they focussed on privacy aspects. Concepts such as open data and the ‘FAIR’ principles were rarely mentioned, even though these are the cornerstones of contemporary data management efforts.

In practice, the students managed their own data in an ad hoc way, and only a few of them worked with a clear data management plan. Illustrative of this is that half of the interviewees did not know where to find their data anymore. Furthermore, their study programmes had diverse approaches to data management education.

Most of the classes offered were limited in scope. Nevertheless, the students seemed to be aware of the importance of data management and were willing to learn more about good data management practices.

This report helps to catch an important first glimpse of how master’s students (from different scientific backgrounds) think about research data management. Only by knowing this, accurate measures can be taken to improve data management awareness and skills.

The article also provides some useful recommendations on what such measures might be, and introduces some of the steps already taken by the Delft University of Technology (TU Delft).

URL : Research Data Management for Master’s Students: From Awareness to Action

DOI : http://doi.org/10.5334/dsj-2020-030

Research Data Management Status of Science and Technology Research Institutes in Korea

Authors : Myung-seok Choi, Sanghwan Lee

Recent advances in digital technology and the data-driven science paradigm has led to a proliferation of research data, which are becoming more important in scholarly communications.

The sharing and reuse of research data can play a key role in enhancing the reusability and reproducibility of research, and data from publicly funded projects are assumed to be public goods. This is seen as a movement of open science and, more specifically, open research data.

Many countries, such as the USA, UK, and Australia, are pushing ahead with implementing policies and infrastructure for open research data. In this paper, we present survey results pertaining to the creation, management, and utilization of data for researchers from government-funded research institutes of science and technology in Korea.

We then introduce recent regulations stipulating a mandated data management plan for national R&D projects and on-going efforts to realize open research data in Korea.

URL : Research Data Management Status of Science and Technology Research Institutes in Korea

DOI : http://doi.org/10.5334/dsj-2020-029