Research Data Management and Sharing
Description
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About 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 requ…
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When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan .
- Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
- Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.
About 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
Created by: The University of North Carolina at Chapel Hill, The University of Edinburgh-
Taught by: Helen Tibbo, Alumni Distinguished Professor
School of Information and Library Science -
Taught by: Sarah Jones, Senior Institutional Support Officer
Digital Curation Centre, UK
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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The University of North Carolina at Chapel Hill The University of North Carolina at Chapel Hill, the nation’s first public university, is known around the world for innovative teaching and research. Regularly ranked as the nation’s best value for academic quality, UNC has produced the most Rhodes Scholars for the past 25 years among U.S. public research universities. The University of Edinburgh Delivering excellence in teaching and learning. Consistently ranked as one of the world's top 50 universities and top 3 UK provider of online Masters courses. The University of Edinburgh offers over 700 diverse degree programmes with over 31,000 students currently studying with us from across the world.Syllabus
WEEK 1
Understanding Research Data
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.
9 videos, 2 readings expand
- Video: Welcome
- Video: Research Data Defined
- Video: Types of Data and Metadata
- Video: Research Data Lifecycle
- Reading: Summary & Additional Resources
- Video: Why Manage Data?
- Video: Data Management Stakeholders
- Video: Data Management Across the Research Lifecycle
- Reading: Summary & Additional Resources
- Video: "What Are Data?"
- Video: "Why is Data Management Important?"
- Peer Review: Describing Data
Graded: Understanding Research Data
WEEK 2
Data Management Planning
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.
4 videos, 1 reading expand
- Video: Introduction to Data Management Plans
- Video: Funding Agency Requirements
- Video: Data Management Plan Content
- Video: Data Management Planning Tools
- Reading: Summary & Additional Resources
- Peer Review: Writing a Data Management Plan
Graded: Data Management Planning
WEEK 3
Working with Data
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.
15 videos, 4 readings, 4 practice quizzes expand
- Video: Good File Management in Research
- Video: File Naming
- Video: Versioning
- Practice Quiz: Organizing Data
- Reading: Summary & Additional Resources
- Video: File Formats
- Video: Data Transformations
- Practice Quiz: File Formats and Transformations
- Reading: Summary & Additional Resources
- Video: Documentation
- Video: Data Citation
- Practice Quiz: Documentation and Data Citation
- Reading: Summary & Additional Resources
- Video: Storage
- Video: Backup
- Video: Data Security
- Video: Encryption
- Practice Quiz: Storage and Security
- Reading: Summary & Additional Resources
- Video: Interview - Natalia Calanzani
- Video: Interview - Shaun Bevan
- Video: "How does good data management add value to research?"
- Video: "Do you think data sharing helps to reduce waste and increase transparency of research?"
Graded: Working with Data
WEEK 4
Sharing Data
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.
9 videos, 2 readings expand
- Video: Benefits of Sharing
- Video: Challenges to Sharing
- Video: Data Citations
- Reading: Summary & Additional Resources
- Video: Protecting Confidentiality (Part 1)
- Video: Protecting Confidentiality (Part 2)
- Video: Intellectual Property and Data Ownership
- Video: Access
- Reading: Summary & Additional Resources
- Video: "What Are the Benefits of Sharing Data?"
- Video: "What Are the Drawbacks of Sharing Data?"
- Peer Review: Citing Data
Graded: Sharing Data
WEEK 5
Archiving Data
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.
9 videos, 2 readings expand
- Video: Why Archive Data?
- Video: Authenticity and Integrity
- Video: Metadata
- Reading: Summary & Additional Resources
- Video: Demonstrating Trustworthiness
- Video: Data Curation Standards and Best Practices (Part 1)
- Video: Data Curation Standards and Best Practices (Part 2)
- Reading: Summary & Additional Resources
- Video: "Why is Archiving Data Important?"
- Video: "Why is Digital Preservation Important?"
- Peer Review: Finding a Trustworthy Repository
- Video: Conclusion
Graded: Archiving Data
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