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 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 Research Data Management: A proposed framework to boost research in Higher Educational Institutes.

10.29173/iq12 ◽  
2017 ◽  
Vol 41 (1-4) ◽  
pp. 12
Author(s):  
Bhojaraju Gunjal ◽  
Panorea Gaitanou
Keyword(s):  
Literature Review ◽  
Best Practices ◽  
Data Management ◽  
Skill Development ◽  
Research Process ◽  
Research Data ◽  
Research Data Management ◽  
Research Activities ◽  
Educational Institute ◽  
Higher Educational

This paper attempts to present a brief overview of several Research Data Management (RDM) issues and a detailed literature review regarding the RDM aspects adopted in libraries globally. Furthermore, it will describe several tendencies concerning the management of repository tools for research data, as well as the challenges in implementing the RDM. The proper planned training and skill development for all stakeholders by mentors to train both staff and users are some of the issues that need to be considered to enhance the RDM process. An effort will be also made to present the suitable policies and workflows along with the adoption of best practices in RDM, so as to boost the research process in an organisation. This study will showcase the implementation of RDM processes in the Higher Educational Institute of India, referring particularly to the Central Library @ NIT Rourkela in Odisha, India with a proposed framework. Finally, this study will also propose an area of opportunities that can boost research activities in the Institute.

scholarly journals Publishing trends on research data management in Sub-Saharan Africa: A bibliometrics analysis

2021 ◽  
Vol 45 (3-4) ◽  
Author(s):  
Tom Kwanya
Keyword(s):  
Best Practices ◽  
Data Management ◽  
Research Output ◽  
Developed Countries ◽  
Research Data ◽  
Sub Saharan Africa ◽  
Google Scholar ◽  
Publish Or Perish ◽  
Research Data Management ◽  
Sub Saharan

Research data management is an umbrella term used to describe activities related to the creation, organisation, structuring, naming, backing up, storage, conservation, and sharing of research data as well as all actions that guarantee security of research data. As is often the case, researchers from Sub-Saharan Africa are lagging behind their counterparts in developed countries in embracing the best practices of research data management. One of the factors to which this slow pace of adoption of research data management could be attributed, is inadequate research on the subject. The purpose of this paper is to analyse the quantity, quality, visibility and authorship of publications on research data management in Sub-Saharan Africa. Bibliometrics approaches were used to analyse publications on research data management from, and on, Sub-Saharan Africa which are currently indexed in Google Scholar. The index was chosen because it is free and is reputed to have liberal selection criteria which do not favour, or discriminate, any discipline or geographic regions. Data was retrieved from Google Scholar using Harzing’s “Publish or Perish” software and analysed using VOSviewer. The findings of the study revealed that the quantity, quality, visibility and authorship collaboration of scholarly publications on research data management in Sub-Saharan Africa is low. The findings may be used by libraries and research institutions in Sub-Saharan Africa to develop and promote best practices in research data management as a means of enhancing their research output and impact.

scholarly journals Foundational Practices of Research Data Management

2020 ◽  
Vol 6 ◽  
Author(s):  
Kristin Briney ◽  
Heather Coates ◽  
Abigail Goben
Keyword(s):  
Data Analysis ◽  
Best Practices ◽  
Data Management ◽  
Management Practices ◽  
Research Data ◽  
Data Reuse ◽  
Data Handling ◽  
Good Data ◽  
Research Data Management ◽  
The Future

The importance of research data has grown as researchers across disciplines seek to ensure reproducibility, facilitate data reuse, and acknowledge data as a valuable scholarly commodity. Researchers are under increasing pressure to share their data for validation and reuse. Adopting good data management practices allows researchers to efficiently locate their data, understand it, and use it throughout all of the stages of a project and in the future. Additionally, good data management can streamline data analysis, visualization, and reporting, thus making publication less stressful and time-consuming. By implementing foundational practices of data management, researchers set themselves up for success by formalizing processes and reducing common errors in data handling, which can free up more time for research. This paper provides an introduction to best practices for managing all types of data.

scholarly journals Research Data Management Exercise

2017 ◽  
Author(s):  
Chealsye Bowley
Keyword(s):  
Best Practices ◽  
Data Management ◽  
Role Playing ◽  
Research Data ◽  
Research Data Management

Role playing exercise for student workshops on data management and sharing best practices.

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 Research Data Management and Sharing

2017 ◽  
Author(s):  
Chealsye Bowley
Keyword(s):  
Best Practices ◽  
Data Management ◽  
Research Data ◽  
Research Data Management ◽  
Faculty Workshop

Presentation slides for a student and faculty workshop on best practices for data management and sharing.

scholarly journals Investigation of Non-Academic Data Management Practices to Inform Academic Research Data Management

2018 ◽  
Vol 4 ◽  
Author(s):  
Steven Van Tuyl ◽  
Amanda Whitmire
Keyword(s):  
Best Practices ◽  
Data Management ◽  
Management Practices ◽  
Academic Research ◽  
Research Data ◽  
Government Agencies ◽  
University Administrators ◽  
Academic Environments ◽  
Research Data Management ◽  
Funding Agencies

In recent years, the academic research data management (RDM) community has worked closely with funding agencies, university administrators, and researchers to develop best practices for RDM. The RDM community, however, has spent relatively little time exploring best practices used in non-academic environments (industry, government, etc.) for management, preservation, and sharing of data. In this poster, we present the results of a project wherein we approached a number of non-academic corporations and institutions to discuss how data is managed in those organizations and discern what the academic RDM community could learn from non-academic RDM practices. We conducted interviews with 10-20 companies including tech companies, government agencies, and consumer retail corporations. We present the results in the form of user stories, common themes from interviews, and summaries of areas where the RDM community might benefit from further understanding of non-academic data management practices.

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 Tuuli project: accelerating data management planning in Finnish research organisations

2018 ◽  
Vol 12 (2) ◽  
pp. 107-115 ◽  
Author(s):  
Minna Ahokas ◽  
Mari Elisa Kuusniemi ◽  
Jari Friman
Keyword(s):  
Best Practices ◽  
Data Management ◽  
Data Sharing ◽  
Research Data ◽  
Planning Tool ◽  
Management Planning ◽  
Research Data Management ◽  
Management Plans ◽  
Research Organisations ◽  
And Training

Many research funders have requirements for data sharing and data management plans (DMP). DMP tools are services built to help researchers to create data management plans fitting their needs and based on funder and/or organisation guidelines. Project Tuuli (2015–2017) has provided DMPTuuli, a data management planning tool for Finnish researchers and research organisations offering DMP templates and guidance. In this paper we describe how project has helped both Finnish researchers and research organisations adopt research data management best practices. As a result of the project we have also created a national Tuuli network. With growing competence and collaboration of the network, the project has reached most of its goals. The project has also actively promoted DMP support and training in Finnish research organisations.

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