Introduction to Data Management

$250.00

Credits: 2.25 CEUs or 22.5 PDHs

In this course you will learn about the diversity of data and the best practices that should be followed throughout the research data lifecycle to ensure that data are collected, organized, described, licensed, cited, preserved, shared, stored and reused ethically. We will discuss data governance, data privacy, data quality and data security among other topics. By the end of the course, you will be able to identify the components of a good data management plan, which will help you establish policies and appropriate infrastructures to support your institution in managing, sharing and reusing research data efficiently.

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Course Information

Session

Credits

2.25 CEUs or 22.5 PDHs

Course Description

In this course you will learn about the diversity of data and the best practices that should be followed throughout the research data lifecycle to ensure that data are collected, organized, described, licensed, cited, preserved, shared, stored and reused ethically. We will discuss data governance, data privacy, data quality and data security among other topics. By the end of the course, you will be able to identify the components of a good data management plan, which will help you establish policies and appropriate infrastructures to support your institution in managing, sharing and reusing research data efficiently.

Outline
Week 1: Introduction to research data

This chapter introduces research data and their value as well as the challenges a researcher faces when sharing research data. We will examine the research data lifecycle and identify opportunities for information professionals to support the community at different levels of this lifecycle. We will learn about the roles and responsibilities of the key stakeholders.

Week 2: Data Organization Strategies

This week, we’ll introduce strategies related to data organization. Topics including file naming, versioning, formatting and data types will be discussed. We will also look at data documentation and its importance.

Week 3: Archiving Data

Data Repositories are examined this week, trustworthy repositories, audits and certifications. We will talk about metadata schemas, unique identifiers, data preservation and data citation.

Week 4: Sharing data

This week we will explore the challenges and opportunities faced when sharing research data. We will discuss data privacy, copyrights, licensing, sensitive data, anonymization and other related topics.

Week 5: The Data management plan

This week we will learn about the importance of a data management plan (DMP) and we will look at the Components of a good DMP. We will check what are funding agencies requirements and how to fulfill them.

Ch. 6: Institutional support for Data Management

We will learn about the role of the institution in the curation of data and their sharing, about policies that should be created by the institution, the infrastructure needed and the provision of training and consulting.

Dalal Rahme

Dalal RahmeDalal Rahme has over 11 years of experience in academic libraries. She received her M.S in Information Science from the University of Illinois at Urbana Champaign in 2014 with a specialization in the Data Curation and Socio-Technical Data Analytics. She currently holds the position of data services librarian at the American University of Beirut (AUB), where she assists in the curation of data for different projects, delivers training and workshops related to data literacy, data management, data curation and data visualization, and helps in administering the institutional repository at AUB. She is also an instructor at the Graduate School of Information Science at the Lebanese Public University where she teaches digital preservation and data curation since 2015. She served on several committees at IFLA (FAIFE 2018-2019), ALA (Students Chapter 2013-2014) and the Lebanese Library Association (board member 2017-2019).

Special Session

Please contact us to arrange a special session of this class for a group of seven or more, with a negotiable discount, or to be notified when it is next scheduled.

1 review for Introduction to Data Management

  1. Satish Munnolli

    Scholarly Communication is dynamic and changing constantly. Librarians are handling various online sources and digital collections over three decades. Research Data Lifecycle is a fast-growing concept to the professionals to understand and handle the humungous data generated at institutes. Having trained in this domain will definitely add-on new skillsets to individuals to take on new challenges confidently and contribute to the development of the institute.

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