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

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

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

Why You Need Soft and Non-Technical Skills for Successful Data Librarianship

Author : Margaret Henderson

There are many courses available to teach research data management to librarians and researchers. While these courses can help with technical skills, like programming or statistics, and practical knowledge of data life cycles or data sharing policies, there are “soft skills” and non-technical skills that are needed to successfully start and run data services.

While there are many important characteristics of a good data librarian, reference skills, relationship building, collaboration, listening, and facilitation are some of the most important. Giving consideration to these skills will help any data librarian with their multifaceted job.

URL : Skills for Data Librarianship

DOI : https://doi.org/10.7191/jeslib.2020.1183

The role of a data librarian in academic and research libraries

Authors : Isaac K. Ohaji, Brenda Chawner, Pak Yoong

Introduction

This paper presents a data librarian role blueprint (the blueprint) in order to facilitate an understanding of the academic and research librarian’s role in research data management and e-research.

Method

The study employed a qualitative ase research approach to investigate the dimensions of the role of a data librarian in New Zealand research organizations, using semi-structured interviews as the main data collection instrument.

Analysis

A data analysis spiral was used to analyse the interview data, with the addition of a job analysis framework to organize the role performance components of a data librarian.

Results

The influencing factors, performance components and training needs for a data librarian role form the basis of the blueprint.

Conclusions

The findings which are reflected in the blueprint provide a conceptual understanding of the data librarian role which may be used to inform and enhance practice, or to develop relevant education and training programmes.

URL : http://informationr.net/ir/24-4/paper844.html

Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities

Authors : Tania P. Bardyn, Emily F. Patridge, Michael T. Moore, Jane J. Koh

Purpose

Medical libraries need to actively review their service models and explore partnerships with other campus entities to provide better-coordinated clinical research management services to faculty and researchers. TRAIL (Translational Research and Information Lab), a five-partner initiative at the University of Washington (UW), explores how best to leverage existing expertise and space to deliver clinical research data management (CRDM) services and emerging technology support to clinical researchers at UW and collaborating institutions in the Pacific Northwest.

Methods

The initiative offers 14 services and a technology-enhanced innovation lab located in the Health Sciences Library (HSL) to support the University of Washington clinical and research enterprise.

Sharing of staff and resources merges library and non-library workflows, better coordinating data and innovation services to clinical researchers. Librarians have adopted new roles in CRDM, such as providing user support and training for UW’s Research Electronic Data Capture (REDCap) instance.

Results

TRAIL staff are quickly adapting to changing workflows and shared services, including teaching classes on tools used to manage clinical research data. Researcher interest in TRAIL has sparked new collaborative initiatives and service offerings. Marketing and promotion will be important for raising researchers’ awareness of available services.

Conclusions

Medical librarians are developing new skills by supporting and teaching CRDM. Clinical and data librarians better understand the information needs of clinical and translational researchers by being involved in the earlier stages of the research cycle and identifying technologies that can improve healthcare outcomes.

At health sciences libraries, leveraging existing resources and bringing services together is central to how university medical librarians will operate in the future.

DOI : https://doi.org/10.7191/jeslib.2018.1130