This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories.
Today, an increasing number of funding agencies, journals, and other stakeholders are requiring data producers to share, archive, and plan for the management of their data. In order to respond to these requirements, researchers and information professionals will need the data management and curation knowledge and skills that support the long-term preservation, access, and reuse of data. Effectively managing data can also help optimize research outputs, increase the impact of research, and support open scientific inquiry. After completing this course, learners will be better equipped to manage data throughout the entire research data lifecycle from project planning to the end of the project when data ideally are shared and made available within a trustworthy repository.
This course was developed by the Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project in collaboration with EDINA at the University of Edinburgh.
This course was made possible in part by the Institute of Museum and Library Services under award #RE-06-13-0052-13. The views, findings, conclusions or recommendations expressed in this Research Data Management and Sharing MOOC do not necessarily represent those of the Institute of Museum and Library Services.
Hashtag: #RDMSmooc
Learners can apply for Financial Aid directly with Coursera to assist with the cost of accessing the full course and gaining a certificate for successfully completing the course.
This week introduces multiple types of research data in an array of contexts as well as important data management concepts including metadata and the research data lifecycle. We will also define the concept of data management, identify the roles and responsibilities of key stakeholders, and examine various data management tasks throughout the research data lifecycle.
What's included
9 videos2 readings1 assignment1 peer review
Show info about module content
9 videos•Total 37 minutes
Welcome•4 minutes
Research Data Defined•4 minutes
Types of Data and Metadata•4 minutes
Research Data Lifecycle•2 minutes
Why Manage Data?•4 minutes
Data Management Stakeholders•4 minutes
Data Management Across the Research Lifecycle•8 minutes
"What Are Data?"•3 minutes
"Why is Data Management Important?"•3 minutes
2 readings•Total 20 minutes
Summary & Additional Resources•10 minutes
Summary & Additional Resources•10 minutes
1 assignment•Total 30 minutes
Understanding Research Data•30 minutes
1 peer review•Total 120 minutes
Describing Data•120 minutes
Data Management Planning
Module 2•2 hours to complete
Module details
This week provides an overview of Data Management Plans (DMPs) including the components of good DMPs, the DMP policies of several funding agencies, and information on data management planning tools.
What's included
4 videos1 reading1 assignment1 peer review
Show info about module content
4 videos•Total 16 minutes
Introduction to Data Management Plans•5 minutes
Funding Agency Requirements•2 minutes
Data Management Plan Content•6 minutes
Data Management Planning Tools•2 minutes
1 reading•Total 10 minutes
Summary & Additional Resources•10 minutes
1 assignment•Total 30 minutes
Data Management Planning•30 minutes
1 peer review•Total 60 minutes
Writing a Data Management Plan•60 minutes
Working with Data
Module 3•4 hours to complete
Module details
This week is brought to you by EDINA and the Data Library at the University of Edinburgh and is presented by Sarah Jones from the Digital Curation Centre. Sarah will introduce strategies for organizing research data including versioning and file naming conventions as well as data file formatting and transformations. She will also discuss why documenting data and data citation are important. Finally, she will present issues involved in storing, securing, and backing up research data.
What's included
15 videos4 readings5 assignments
Show info about module content
15 videos•Total 56 minutes
Good File Management in Research•3 minutes
File Naming•4 minutes
Versioning•2 minutes
File Formats•7 minutes
Data Transformations•2 minutes
Documentation•4 minutes
Data Citation•4 minutes
Storage•3 minutes
Backup•3 minutes
Data Security•3 minutes
Encryption•3 minutes
Interview - Natalia Calanzani•4 minutes
Interview - Shaun Bevan•6 minutes
"How does good data management add value to research?"•4 minutes
"Do you think data sharing helps to reduce waste and increase transparency of research?"•4 minutes
4 readings•Total 40 minutes
Summary & Additional Resources•10 minutes
Summary & Additional Resources•10 minutes
Summary & Additional Resources•10 minutes
Summary & Additional Resources•10 minutes
5 assignments•Total 150 minutes
Organizing Data•30 minutes
File Formats and Transformations•30 minutes
Documentation and Data Citation•30 minutes
Storage and Security•30 minutes
Working with Data•30 minutes
Sharing Data
Module 4•4 hours to complete
Module details
This week examines the benefits and challenges of sharing research data. We will also discuss how to protect confidentiality and how data ownership can affect data sharing. Finally, we will examine different types of access restrictions that may be placed on data as well as how to enable data sharing through the application of a standard license.
What's included
9 videos2 readings1 assignment1 peer review
Show info about module content
9 videos•Total 48 minutes
Benefits of Sharing•6 minutes
Challenges to Sharing•4 minutes
Data Citations•4 minutes
Protecting Confidentiality (Part 1)•6 minutes
Protecting Confidentiality (Part 2)•7 minutes
Intellectual Property and Data Ownership•4 minutes
Access•7 minutes
"What Are the Benefits of Sharing Data?"•6 minutes
"What Are the Drawbacks of Sharing Data?"•5 minutes
2 readings•Total 20 minutes
Summary & Additional Resources•10 minutes
Summary & Additional Resources•10 minutes
1 assignment•Total 30 minutes
Sharing Data•30 minutes
1 peer review•Total 120 minutes
Citing Data•120 minutes
Archiving Data
Module 5•3 hours to complete
Module details
During the final week of the course, we will examine the preservation needs of research data, introduce the concepts of authenticity and integrity, and identify the different types of metadata and their role in data discovery and reuse. We will also discuss the role of trustworthy repositories as well as how repositories demonstrate their trustworthiness through audit and certification. Finally, we will present key archival standards and best practices for ensuring data remains accessible and understandable for the long-term.
What's included
9 videos3 readings1 assignment1 peer review
Show info about module content
9 videos•Total 50 minutes
Why Archive Data?•5 minutes
Authenticity and Integrity•6 minutes
Metadata•6 minutes
Demonstrating Trustworthiness•8 minutes
Data Curation Standards and Best Practices (Part 1)•6 minutes
Data Curation Standards and Best Practices (Part 2)•5 minutes
"Why is Archiving Data Important?"•5 minutes
"Why is Digital Preservation Important?"•5 minutes
Conclusion•4 minutes
3 readings•Total 30 minutes
Summary & Additional Resources•10 minutes
Summary & Additional Resources•10 minutes
Post-Course Survey•10 minutes
1 assignment•Total 30 minutes
Archiving Data•30 minutes
1 peer review•Total 60 minutes
Finding a Trustworthy Repository•60 minutes
Instructors
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5·
Reviewed on Feb 4, 2021
Excellent Course! Provides all knowledge for beginners on Data Management! Well organized and structured! Very Very interesting. Every student should learn such things! Thank You!
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JI
4·
Reviewed on Feb 10, 2018
Good introduction to research data management. The course is well structured with relevant lectures, reading, quiz exercises and peer review assignments. Easy to follow.
R
RN
5·
Reviewed on Apr 23, 2020
The course was well-paced, well-organized, and clearly expressed. A wealth of resources were provided while keeping the instructional videos concise but detailed. Thoroughly enjoyable!
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