Research Data Management and Sharing

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  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

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