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URL: https://www.coursera.org/learn/data-management

⇱ Research Data Management and Sharing | Coursera


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Gain insight into a topic and learn the fundamentals.
4.7

749 reviews

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.7

749 reviews

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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Assessments

9 assignmentsΒΉ

AI Graded see disclaimer
Taught in English
97%
Most learners liked this course

There are 5 modules in this course

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

9 videosβ€’Total 37 minutes
  • Welcomeβ€’4 minutes
  • Research Data Definedβ€’4 minutes
  • Types of Data and Metadataβ€’4 minutes
  • Research Data Lifecycleβ€’2 minutes
  • Why Manage Data?β€’4 minutes
  • Data Management Stakeholdersβ€’4 minutes
  • Data Management Across the Research Lifecycleβ€’8 minutes
  • "What Are Data?"β€’3 minutes
  • "Why is Data Management Important?"β€’3 minutes
2 readingsβ€’Total 20 minutes
  • Summary & Additional Resourcesβ€’10 minutes
  • Summary & Additional Resourcesβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Understanding Research Dataβ€’30 minutes
1 peer reviewβ€’Total 120 minutes
  • Describing Dataβ€’120 minutes

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

4 videosβ€’Total 16 minutes
  • Introduction to Data Management Plansβ€’5 minutes
  • Funding Agency Requirementsβ€’2 minutes
  • Data Management Plan Contentβ€’6 minutes
  • Data Management Planning Toolsβ€’2 minutes
1 readingβ€’Total 10 minutes
  • Summary & Additional Resourcesβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Data Management Planningβ€’30 minutes
1 peer reviewβ€’Total 60 minutes
  • Writing a Data Management Planβ€’60 minutes

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

15 videosβ€’Total 56 minutes
  • Good File Management in Researchβ€’3 minutes
  • File Namingβ€’4 minutes
  • Versioningβ€’2 minutes
  • File Formatsβ€’7 minutes
  • Data Transformationsβ€’2 minutes
  • Documentationβ€’4 minutes
  • Data Citationβ€’4 minutes
  • Storageβ€’3 minutes
  • Backupβ€’3 minutes
  • Data Securityβ€’3 minutes
  • Encryptionβ€’3 minutes
  • Interview - Natalia Calanzaniβ€’4 minutes
  • Interview - Shaun Bevanβ€’6 minutes
  • "How does good data management add value to research?"β€’4 minutes
  • "Do you think data sharing helps to reduce waste and increase transparency of research?"β€’4 minutes
4 readingsβ€’Total 40 minutes
  • Summary & Additional Resourcesβ€’10 minutes
  • Summary & Additional Resourcesβ€’10 minutes
  • Summary & Additional Resourcesβ€’10 minutes
  • Summary & Additional Resourcesβ€’10 minutes
5 assignmentsβ€’Total 150 minutes
  • Working with Dataβ€’30 minutes
  • Organizing Dataβ€’30 minutes
  • File Formats and Transformationsβ€’30 minutes
  • Documentation and Data Citationβ€’30 minutes
  • Storage and Securityβ€’30 minutes

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

9 videosβ€’Total 48 minutes
  • Benefits of Sharingβ€’6 minutes
  • Challenges to Sharingβ€’4 minutes
  • Data Citationsβ€’4 minutes
  • Protecting Confidentiality (Part 1)β€’6 minutes
  • Protecting Confidentiality (Part 2)β€’7 minutes
  • Intellectual Property and Data Ownershipβ€’4 minutes
  • Accessβ€’7 minutes
  • "What Are the Benefits of Sharing Data?"β€’6 minutes
  • "What Are the Drawbacks of Sharing Data?"β€’5 minutes
2 readingsβ€’Total 20 minutes
  • Summary & Additional Resourcesβ€’10 minutes
  • Summary & Additional Resourcesβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Sharing Dataβ€’30 minutes
1 peer reviewβ€’Total 120 minutes
  • Citing Dataβ€’120 minutes

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

9 videosβ€’Total 50 minutes
  • Why Archive Data?β€’5 minutes
  • Authenticity and Integrityβ€’6 minutes
  • Metadataβ€’6 minutes
  • Demonstrating Trustworthinessβ€’8 minutes
  • Data Curation Standards and Best Practices (Part 1)β€’6 minutes
  • Data Curation Standards and Best Practices (Part 2)β€’5 minutes
  • "Why is Archiving Data Important?"β€’5 minutes
  • "Why is Digital Preservation Important?"β€’5 minutes
  • Conclusionβ€’4 minutes
3 readingsβ€’Total 30 minutes
  • Summary & Additional Resourcesβ€’10 minutes
  • Summary & Additional Resourcesβ€’10 minutes
  • Post-Course Surveyβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Archiving Dataβ€’30 minutes
1 peer reviewβ€’Total 60 minutes
  • Finding a Trustworthy Repositoryβ€’60 minutes

Instructors

Instructor ratings
4.7 (203 ratings)
The University of North Carolina at Chapel Hill
1 Courseβ€’43,977 learners
The University of North Carolina at Chapel Hill
1 Courseβ€’43,977 learners

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Showing 3 of 749

WM
Β·

Reviewed on Sep 12, 2020

a very interesting introduction to the subject of data management and sharing data. I recommend this course for everyone who is interested in the subject as well as students and researchers.

JI
Β·

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.

JO
Β·

Reviewed on Aug 11, 2020

Good introduction for data management and sharing. Main concepts are explained and the most important, the real importance of a data management plan for a research at any area

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ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.