scholarly journals A Spider, an Octopus, or an Animal Just Coming into Existence? Designing a Curriculum for Librarians to Support Research Data Management

2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Andrew Cox ◽  
◽  
Eddy Verbaan ◽  
Barbara Sen
Author(s):  
Megan Davis ◽  
Ellie Dworak ◽  
Yitzhak Paul ◽  
Elisabeth Shook

A tool for assessing the competencies of individuals who support Research Data Management (RDM). The tool was developed to help academic libraries bolster skills and services surrounding RDM. This assessment allows the library to better understand and visualize the strengths and gaps in knowledge necessary to effectively run an RDM team.


2020 ◽  
Vol 52 ◽  
pp. 107-112
Author(s):  
Tatyana Sheveleva ◽  
Oliver Koepler ◽  
Iryna Mozgova ◽  
Roland Lachmayer ◽  
Sören Auer

Author(s):  
Chidi Onuoha Kalu ◽  
Esther Ihechiluru Chidi-Kalu ◽  
Titilola Abigail Mafe

Academic libraries need to store, preserve, and manage scholars' intellectual output, hence the importance of research data management in academic libraries. This chapter focuses on research data management in academic libraries, and it aims at examining the concept of research data, which is referred to as the evidence used to inform or support research conclusions, while data management, on the other hand involves planning for and creating data, organizing, structuring, and documenting data, backing up and storing data, and preparing data for analysis to share with others or to preserve for the long-term.


Author(s):  
Fabian Cremer ◽  
Silvia Daniel ◽  
Marina Lemaire ◽  
Katrin Moeller ◽  
Matthias Razum ◽  
...  

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Hanke ◽  
Franco Pestilli ◽  
Adina S. Wagner ◽  
Christopher J. Markiewicz ◽  
Jean-Baptiste Poline ◽  
...  

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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