How to Manage Research Data Efficiently

Learn how to store, protect, and manage your research data like a pro with handy tips, detailed guidelines, useful tools and resources from one of the industry’s leading publishers.

What will you learn?

  1. Introduction and benefits of open science and open data
  2. How to handle large volumes of data and make it accessible to readers
  3. Understanding data management policies at micro and macro levels
  4. How to preserve and protect data and other intellectual properties
  5. What is metadata and tools used to help generate it
  6. How better data management can improve your reputation and impact
  7. Pros and cons of sharing data on social media and other networking sites
  8. Latest developments, trends, and initiatives in data sharing


Description:

The foundation of any good research study is the data collected by a researcher over months or even years. That's why it is essential to protect your valuable data from potential threats it may be exposed to like computer theft, viruses, natural disasters, or even human error.

In this course, you’ll learn the fundamentals of effectively storing and managing research data. You’ll also get a detailed introduction to open science, open data, data repositories, licensing, and data sharing. Among other useful resources, this course includes advanced readings on data management policies and guidelines for data analysis. Designed for all research career levels, this interactive learning program will help you understand how to handle huge data sets, work with metadata, and use special tools to manage your data.


About the course authors

Tim Vines

Tim Vines pursued his PhD in evolutionary biology/genetics of hybrid formation from The University of Edinburgh. He has been the Managing Editor and Founder of Axios Review, an independent review service. Before that, he was the Managing Editor of the journal Molecular Ecology. Tim has published papers on science publishing, data archiving, and reproducible science, and is a recipient of the inaugural Award for Achievement or Innovation by the International Society of Managing and Technical Editors. He has worked with the University of British Columbia as a postdoctoral fellow and a visiting scholar for 11 years, and has contributed to the evolutionary adaptive radiation of species. Currently, he is working as a Project Lead at DataSeerAI, a company he founded in 2018.

Fiona Murphy

Fiona Murphy is a PhD in English from Oxford University. She has worked in various roles with major publishers such as Random House, Bloomsbury, and Wiley. As a research data and publishing consultant advising institutions, learned societies, and commercial publishing companies, she has written and presented widely on data publishing, open data, and open science. Currently, she is Co-Founder, Partnerships & Community Development at More Brains Consulting Cooperative Ltd.


Your Instructor


Wiley Researcher Academy
Wiley Researcher Academy

Are you an early career researcher seeking to improve your research writing skills? Are you an established researcher who wants to better understand the scholarly publishing landscape? Wiley Researcher Academy has the tools you need to navigate the publishing process and increase your chances of achieving a successful publishing outcome.

Written and presented by a global network of journal editors and industry experts from Wiley's prestigious scientific publishing portfolio, Wiley Researcher Academy provides an authoritative source of training and enablement to help researchers at any level achieve their full potential.


Course Curriculum


  Distinguishing raw data from the results of analysis
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  A brief history of the open data movement
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  Research data and the preservation of data
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  Data protection and intellectual property
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  Data formats and metadata
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  In favor of data sharing. investment and researcher impact
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  In favor of data sharing: improving science
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  Against data sharing: data management and confidentiality
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  Against data sharing: potentially malicious use
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  Against data sharing: citation and intellectual property
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  International trends and initiatives in data sharing
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  Open data, standardization of procedures and licenses
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  Managing research data – final exam
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