Étiquette : research data management

Alter-Value in Data Reuse: Non-Designated Communities and Creative Processes

Author : Guillaume Boutard

This paper builds on the investigation of data reuse in creative processes to discuss ‘epistemic pluralism’ and data ‘alter-value’ in research data management. Focussing on a specific non-designated community, we conducted semi-structured interviews with five artists in relation to five works.

Data reuse is a critical component of all these works. The qualitative content analysis brings to light agonistic-antagonistic practices in data reuse and shows multiple deconstructions of the notion of data value as it is portrayed in the data reuse literature.

Finally, the paper brings to light the benefits of including such practices in the conceptualization of data curation.

URL : Alter-Value in Data Reuse: Non-Designated Communities and Creative Processes

DOI : http://doi.org/10.5334/dsj-2020-023

Comparing the diffusion and adoption of linked data and research data management services among libraries

Author : Jinfang Niu

Introduction

Libraries face innovations periodically. It is important to identify consistent patterns in the diffusion and adoption of innovations so that libraries and relevant stakeholders will be informed and well-prepared for future innovations.

Method

This paper compares findings from two previous projects, each of which was conducted to investigate the diffusion and adoption of two recent innovations, research data management service and linked data, respectively.

The two projects were conducted using similar methods: collecting and analysing literature about the adoption of these innovations in libraries in the United States. Literature was collected through Google Scholar search, citation chasing, and target search for people or libraries that are involved in their adoption.

Analysis

The gathered articles were then coded and analysed based on diffusion of innovation theories.

Results

Similarities and disparities between the diffusion and adoption of the two innovations were identified.

Conclusions

Findings from this study are informative for the decision-making of libraries, librarians, funders, and professional associations facing future innovations. They also contribute to diffusion of innovation theories through revealing new communication channels and alternative adoption processes, as well as redefining existing concepts.

URL : http://www.informationr.net/ir/25-2/paper855.html

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

Pratiques de gestion des données de la recherche : une nécessaire acculturation des chercheurs aux enjeux de la science ouverte ? Résultats d’une enquête exploratoire dans le bassin montpelliérain (juin 2018)

Auteur/Authors : Philippe Amiel, Francesca Frontini, Pierre-Yves Lacour, Agnès Robin

L’article présente les résultats d’une enquête exploratoire, menée en juin 2018 par le programme de recherche CommonData, dans le bassin montpelliérain à propos des pratiques de gestion des données de la recherche scientifique par les chercheurs.

Les principaux objectifs étaient de voir si cette gestion est ou non le fruit d’une organisation pensée et raisonnée, de vérifier la capacité ou l’incapacité dans laquelle se trouvent les chercheurs pour qualifier juridiquement les données explorées, collectées ou produites – qualification rendue nécessaire par la mise en œuvre de la politique actuelle d’ouverture de la science – et enfin, d’observer la réalité du sentiment de propriété développé par les chercheurs à l’égard des données qu’ils produisent, posant la question plus générale de la dimension personnelle et/ou institutionnelle du travail de recherche et de ses conséquences sur l’attribution de la propriété.

URL : https://journals.openedition.org/cdst/2061

Research Data Management Services and Strategic Planning in Libraries Today: A Longitudinal Study

Authors : Elise Gowen, John J. Meier

INTRODUCTION

Research data services have been adopted by many academic libraries. This study tracked the changes in research data management services and staffing among Association of American Universities (AAU) libraries over the past 5 years and compared them to the libraries’ goals for research data management (RDM) in their strategic plan.

METHODS

This quantitative study examined libraries at the 60 U.S. AAU institutions. In order to examine longitudinal changes, portions of Briney et.al. (2015a) were used as a basis for measuring data librarian staffing and services.

These trends were compared to the contemporary strategic priorities of libraries interviewed by Meier (2016), as well as against strategic plans of 2014 and 2019 available online.

RESULTS & DISCUSSION

While there have been modest increases in libraries in the sample population offering data services, most of those gains have been among the libraries that did not consider RDM a priority in 2014. Interestingly, some of the libraries that mentioned RDM as a priority in 2014 have lost data librarian positions.

Over half of the libraries in this study now provide or support a data repository. Many library strategic plans that mentioned RDM as an explicit goal 5 years ago now no longer mention it.

CONCLUSION

Data librarian positions, data services, and data repositories have now become common features of large research university libraries. However, research data services are no longer as prominent in many library strategic plans at institutions where such services are more established, and libraries instead seem to be moving on to the work of rethinking the nature of the services or expanding them.

URL : Research Data Management Services and Strategic Planning in Libraries Today: A Longitudinal Study

DOI : https://doi.org/10.7710/2162-3309.2336

Penser local. Développer une politique de données sur un campus SHS

Auteur/Author : Joachim Schöpfel

Dans le cadre du Plan national pour la science ouverte, la structuration et le partage des données de recherche font désormais partie des priorités de la politique scientifique de la France.

Chaque établissement et chaque organisme scientifique doit se doter d’une politique de la science ouverte et mettre en place un ensemble de services et dispositifs pour la gestion des données de la recherche.

A partir d’enquêtes sur le terrain, l’article propose une feuille de route pour la mise en œuvre d’une telle politique sur un campus universitaire en sciences humaines et sociales.

Dix principes indiquent des pistes pour la gouvernance et le pilotage de cette politique, pour déterminer les priorités de développement et d’investissements, et pour faire le lien avec les infrastructures de recherche, dont notamment Huma-Num.

Il s’agit d’une démarche bottom-up, qui met l’accent sur les pratiques et besoins des chercheurs et qui place les chercheurs au cœur d’une politique institutionnelle dans le domaine des données de recherche.

URL : https://www.openscience.fr/Penser-local

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