A Usability Evaluation of Research Data Management Librarian Academy (RDMLA): Examining the Impact of Learner Differences in Pedagogical Usability

2021 ◽  
pp. 1-40
Author(s):  
Rong Tang ◽  
Zhan Hu ◽  
Nicole Henry ◽  
Ashley Thomas
Keyword(s):  
Data Management ◽  
Usability Evaluation ◽  
Research Data ◽  
Research Data Management ◽  
Learner Differences ◽  
The Impact

scholarly journals Archivists Managing Research Data? a Survey of Irish Organisations

2020 ◽  
Vol 15 (1) ◽  
pp. 9
Author(s):  
Rebecca Grant
Keyword(s):  
Data Analysis ◽  
Data Management ◽  
Survey Methods ◽  
Research Data ◽  
Research Data Management ◽  
Management Policies ◽  
The Impact ◽  
Policies And Practices

This paper describes a survey undertaken in 2017 to establish which research data management policies and practices were in place at Irish organisations; the extent to which archivists and records managers were employed to manage research data at those organisations; and the impact that archival skills have on research data management at an organisation. The paper describes the survey methods and data analysis, and presents findings including the presence of archivists and records managers at more than half of the surveyed organisations. Next steps for the research are also outlined.

scholarly journals Providing Research Data Management (RDM) Services in Libraries: Preparedness, Roles, Challenges, and Training for RDM Practice

2019 ◽  
Vol 3 (2) ◽  
pp. 84-101 ◽  
Author(s):  
Rong Tang ◽  
Zhan Hu
Keyword(s):  
Data Management ◽  
Community Of Practice ◽  
Research Data ◽  
Institutional Commitment ◽  
Research Data Management ◽  
Organizational Differences ◽  
The Impact ◽  
To Receive ◽  
Training Opportunities ◽  
And Training

Abstract This paper reports the results of an international survey on research data management (RDM) services in libraries. More than 240 practicing librarians responded to the survey and outlined their roles and levels of preparedness in providing RDM services, challenges their libraries face, and knowledge and skills that they deemed essential to advance the RDM practice. Findings of the study revealed not only a number of location and organizational differences in RDM services and tools provided but also the impact of the level of preparedness and degree of development in RDM roles on the types of RDM services provided. Respondents’ perceptions on both the current challenges and future roles of RDM services were also examined. With a majority of the respondents recognizing the importance of RDM and hoping to receive more training while expressing concerns of lack of bandwidth or capacity in this area, it is clear that, in order to grow RDM services, institutional commitment to resources and training opportunities is crucial. As an emergent profession, data librarians need to be nurtured, mentored, and further trained. The study makes a case for developing a global community of practice where data librarians work together, exchange information, help one another grow, and strive to advance RDM practice around the world.

scholarly journals The matter of meta in research data management: Introducing the CESSDA Metadata Office Project

2020 ◽  
Vol 44 (3) ◽  
Author(s):  
André Förster ◽  
Kerrin Borschewski ◽  
Sharon Bolton ◽  
Taina Jääskeläinen
Keyword(s):  
Social Science ◽  
Data Management ◽  
Service Providers ◽  
Research Data ◽  
Science Data ◽  
Research Data Management ◽  
Data Archives ◽  
The Social ◽  
The Impact ◽  
Science And Research

Accompanying the growing importance of research data management, the provision and maintenance of metadata – understood as data about (research) data – have obtained a key role in contextualizing, understanding, and preserving research data. Acknowledging the importance of metadata in the social sciences, the Consortium of European Social Science Data Archives started the Metadata Office project in 2019. This project report presents the various activities of the Metadata Office (MDO). Metadata models, schema, controlled vocabularies and thesauri are covered, including the MDO’s collaboration with the DDI Alliance on multilingual translations of DDI vocabularies for CESSDA Service Providers. The report also summarizes the communication, training and advice provided by MDO, including DDI use across CESSDA, illustrates the impact of the project for the social science and research data management community, and offers an outline regarding future plans of the project.

scholarly journals Data meets history: A research data management strategy for the historically oriented humanities

2021 ◽  
pp. 155-178
Author(s):  
Fabian Cremer ◽  
Silvia Daniel ◽  
Marina Lemaire ◽  
Katrin Moeller ◽  
Matthias Razum ◽  
...  
Keyword(s):  
Data Management ◽  
Management Strategy ◽  
Research Data ◽  
Research Data Management

In defense of decentralized research data management

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Hanke ◽  
Franco Pestilli ◽  
Adina S. Wagner ◽  
Christopher J. Markiewicz ◽  
Jean-Baptiste Poline ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Research Data ◽  
Data Archive ◽  
Individual Scientist ◽  
Computing Platform ◽  
Research Data Management ◽  
Cloud Computing Platform ◽  
Research Objects ◽  
Central Services

Abstract Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.

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