scholarly journals Research Data Management in a Developing Country: A Personal Journey

2015 ◽  
Vol 10 (2) ◽  
pp. 33-47 ◽  
Author(s):  
Martie Van Deventer ◽  
Heila Pienaar
Keyword(s):  
Data Management ◽  
Developing Country ◽  
Research Data ◽  
Important Lesson ◽  
Personal Journey ◽  
Research Data Management ◽  
Conducting Research ◽  
Work Done ◽  
The Way

This paper explores our own journey to get to grips with research data management (RDM). It also mentions the overlap between our own ‘journeys’ and that of the country. We share the lessons that we learnt along the way – the most important lesson being that you can learn many wonderful and valuable RDM lessons from the international trend setters, but in the end you need to get your hands dirty and get the work done yourself. You must, within the set parameters, implement the RDM practice that is both appropriate and acceptable for and to your own set of researchers – who may be conducting research in a context that may be very dissimilar to that of international peers.

Intelligent Information System for Academic Institutions

2019 ◽  
pp. 207-232 ◽  
Author(s):  
Mamata Rath
Keyword(s):  
Data Management ◽  
Big Data Analytics ◽  
Research Data ◽  
Research Data Management ◽  
Innovative Work ◽  
Management Techniques ◽  
Scientific Results ◽  
Intelligent Information ◽  
Biomedical Publications ◽  
Work Done

Research and publication is considered an authenticated certificate of innovative work done by researchers in various fields. In research, new scientific results may be assessed, corrected, and further built up by the scientific neighborhood only if they are available in published form. Guidelines on accountable research and publication are currently set to encourage and promote high ethical standards in the conduct of research and in biomedical publications. They address various aspects of the research and publishing including duties of editors and authorship determination. The chapter presents research and publication system using big data analytics and research data management techniques with a background of information systems and need of information in research data management.

scholarly journals Developing Research Data Management Services and Support for Researchers: A Mixed Methods Study

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Laure Perrier ◽  
Leslie Barnes
Keyword(s):  
Focus Groups ◽  
Data Management ◽  
Research Data ◽  
Funding Agency ◽  
University Of Toronto ◽  
Research Data Management ◽  
Secure Storage ◽  
Support Of Research ◽  
Conducting Research ◽  
The University

This mixed method study determined the essential tools and services required for research data management to aid academic researchers in fulfilling emerging funding agency and journal requirements. Focus groups were conducted and a rating exercise was designed to rank potential services. Faculty conducting research at the University of Toronto were recruited; 28 researchers participated in four focus groups from June– August 2016. Two investigators independently coded the transcripts from the focus groups and identified four themes: 1) seamless infrastructure, 2) data security, 3) developing skills and knowledge, and 4) anxiety about releasing data. Researchers require assistance with the secure storage of data and favour tools that are easy to use. Increasing knowledge of best practices in research data management is necessary and can be supported by the library using multiple strategies. These findings help our library identify and prioritize tools and services in order to allocate resources in support of research data management on campus.

Intelligent Information System for Academic Institutions

2022 ◽  
pp. 788-806
Author(s):  
Mamata Rath
Keyword(s):  
Data Management ◽  
Big Data Analytics ◽  
Research Data ◽  
Research Data Management ◽  
Innovative Work ◽  
Management Techniques ◽  
Scientific Results ◽  
Intelligent Information ◽  
Biomedical Publications ◽  
Work Done

Research and publication is considered an authenticated certificate of innovative work done by researchers in various fields. In research, new scientific results may be assessed, corrected, and further built up by the scientific neighborhood only if they are available in published form. Guidelines on accountable research and publication are currently set to encourage and promote high ethical standards in the conduct of research and in biomedical publications. They address various aspects of the research and publishing including duties of editors and authorship determination. The chapter presents research and publication system using big data analytics and research data management techniques with a background of information systems and need of information in research data management.

Show Me the Data!

2018 ◽  
Author(s):  
Chealsye Bowley
Keyword(s):  
Data Management ◽  
Role Playing ◽  
Research Data ◽  
Immediate Feedback ◽  
Data Literacy ◽  
Research Data Management ◽  
Teaching Research ◽  
Conducting Research

This poster was presented at the Research Data and Access Preservation Summit 2018. Teaching research data management and data literacy can be a challenge. How can one know if the information is being retained and will be applied? Using game techniques and role playing can give the presenter immediate feedback on if the information regarding data management and/or data literacy is being retained, and allow students to immediately apply the information to increase their chances of retaining and using the information when conducting research.

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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