Course Information
| Session |
|---|
| Credits | 2.25 CEUs or 22.5 PDHs |
|---|---|
| Registration dates | We accept registrations through the first week of classes, unless enrollment is full, and unless the class was canceled before it started due to low enrollment. |
Introduction to Data Management
$300.00
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. There are no pre-requisites required prior to registering for this course. Please note the December 2021/January 2022 session is eight weeks in length, but includes six weeks of content and time for a winter session break.
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.
There are no pre-requisites required prior to registering for this course.
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.
Please note the December 2021/January 2022 session is eight weeks in length, but includes six weeks of content and time for a winter session break.
Dalal Rahme
Dalal 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).
How to Register
To enroll yourself or other participants in a class, use the “Register” button that follows the description of each course. If the “Register” button does not show up, try loading the page in a different web browser. Contact us if you have technical difficulties using our shopping cart system or would like to pay for an enrollment using another method. On the payment page in the shopping cart system, there is a place to add notes, such as the names and email addresses of participants you wish to enroll. We will contact you to request this information in response to your processed payment if you do not include it in the “notes” field. Prior to the start of the workshop, we will send participants their login instructions.Payment Info
Our shopping cart system allows you to pay with a credit card or with PayPal.Alternatively, if it is an institutional payment, we can arrange to invoice you. Contact us by email, and we can make arrangements to suit your institution's business processes.
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.
Tony Diaz –
Data management is an increasingly important part of library management. From librarians to students to researchers, everybody is using data and datasets. This class will introduce you to data management plans, the research data lifecycle, data organization, file naming, version control, managing and sharing data, discoverability, ethics, FAIR data principles, and data repositories. This class will help you to understand the emerging concepts and skills in data management, and is recommended if you are preparing to teach an introduction to data management class for incoming students, or to increase your general skills in data. Highly recommended for all, whether you are a librarian, an assistant, or a student preparing to career in library and information science.
Kimberly Sheldon –
This class was very helpful in understanding more about Data management and how important good data management plans are within repositories and even for other uses where data and information is used. I am not a librarian, but manage projects and work on strategic planning. The course showed the importance of good metadata and a data management plan for any kind of data that would be used by others in projects or to do other research. I would recommend this class to anyone that conducts surveys or collects and manages any data.
Shawnna Parlongo –
This class was just what I needed to help me grow into a new role in RDM support. The content and assignments were well-scaffolded and gave me the opportunity to complete real-world tasks that I will be able to bring right into my job. Very practical – ideal for anyone embarking in RDM support roles.