scholarly journals Issues in Biomedical Research Data Management and Analysis: Needs and Barriers

2007 ◽  
Vol 14 (4) ◽  
pp. 478-488 ◽  
Author(s):  
N. R. Anderson ◽  
E. S. Lee ◽  
J. S. Brockenbrough ◽  
M. E. Minie ◽  
S. Fuller ◽  
...  
Keyword(s):  
Data Management ◽  
Biomedical Research ◽  
Research Data ◽  
Research Data Management

scholarly journals Analysis of Harvard Medical School Countway Library’s MOOC Course, Best Practices for Biomedical Research Data Management: Focus on the effects of COVID-19

2021 ◽  
Author(s):  
Kai Fay ◽  
Julie Goldman
Keyword(s):  
Best Practices ◽  
Medical School ◽  
Data Management ◽  
Biomedical Research ◽  
Harvard Medical School ◽  
Research Data ◽  
Massive Open Online Course ◽  
Research Data Management ◽  
Reported Data ◽  
Potential Shifts

The Harvard Medical School Countway Library’s Massive Open Online Course (MOOC) Best Practices for Biomedical Research Data Management launched on Canvas in January 2018. This report analyzes student reported data and course generated analytics from January 2018, through July 8, 2020, for the course Best Practices for Biomedical Research Data Management. By comparing the findings from the enrollment period through March 8, 2020 (pre-pandemic) to the period through July 8, 2020 (during-pandemic), the main goal is to investigate potential shifts due to the COVID-19 pandemic.

scholarly journals Research data management in health and biomedical citizen science: practices and prospects

JAMIA Open ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 113-125 ◽  
Author(s):  
Ann Borda ◽  
Kathleen Gray ◽  
Yuqing Fu
Keyword(s):  
Data Management ◽  
Citizen Science ◽  
Biomedical Research ◽  
Management Practices ◽  
Science Studies ◽  
Science Research ◽  
Participatory Development ◽  
Research Data ◽  
Management Tools ◽  
Research Data Management

Abstract Background Public engagement in health and biomedical research is being influenced by the paradigm of citizen science. However, conventional health and biomedical research relies on sophisticated research data management tools and methods. Considering these, what contribution can citizen science make in this field of research? How can it follow research protocols and produce reliable results? Objective The aim of this article is to analyze research data management practices in existing biomedical citizen science studies, so as to provide insights for members of the public and of the research community considering this approach to research. Methods A scoping review was conducted on this topic to determine data management characteristics of health and bio medical citizen science research. From this review and related web searching, we chose five online platforms and a specific research project associated with each, to understand their research data management approaches and enablers. Results Health and biomedical citizen science platforms and projects are diverse in terms of types of work with data and data management activities that in themselves may have scientific merit. However, consistent approaches in the use of research data management models or practices seem lacking, or at least are not prevalent in the review. Conclusions There is potential for important data collection and analysis activities to be opaque or irreproducible in health and biomedical citizen science initiatives without the implementation of a research data management model that is transparent and accessible to team members and to external audiences. This situation might be improved with participatory development of standards that can be applied to diverse projects and platforms, across the research data life cycle.

scholarly journals Menoci: lightweight extensible web portal enhancing data management for biomedical research projects

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
M. Suhr ◽  
C. Lehmann ◽  
C. R. Bauer ◽  
T. Bender ◽  
C. Knopp ◽  
...  
Keyword(s):  
Best Practices ◽  
Data Management ◽  
Data Storage ◽  
Biomedical Research ◽  
Content Management ◽  
Research Data ◽  
Research Projects ◽  
Web Portal ◽  
Multiple Sources ◽  
Research Data Management

Abstract Background Biomedical research projects deal with data management requirements from multiple sources like funding agencies’ guidelines, publisher policies, discipline best practices, and their own users’ needs. We describe functional and quality requirements based on many years of experience implementing data management for the CRC 1002 and CRC 1190. A fully equipped data management software should improve documentation of experiments and materials, enable data storage and sharing according to the FAIR Guiding Principles while maximizing usability, information security, as well as software sustainability and reusability. Results We introduce the modular web portal software menoci for data collection, experiment documentation, data publication, sharing, and preservation in biomedical research projects. Menoci modules are based on the Drupal content management system which enables lightweight deployment and setup, and creates the possibility to combine research data management with a customisable project home page or collaboration platform. Conclusions Management of research data and digital research artefacts is transforming from individual researcher or groups best practices towards project- or organisation-wide service infrastructures. To enable and support this structural transformation process, a vital ecosystem of open source software tools is needed. Menoci is a contribution to this ecosystem of research data management tools that is specifically designed to support biomedical research projects.

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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