LIS-S 507 Tools and Technologies for the Information Professions
3 credits
- Prerequisite(s): LIS-S 500 or
- Corequisite(s): LIS-S 500
- Delivery: Online
- Semesters offered: Fall, Spring, Summer (Check the schedule to confirm.)
Description
This course examines the tools and technologies that allow students to achieve data and information competencies expected in libraries and other information organizations. Tools include advanced features of software for productivity and presentation tasks, as well as methods for technology-based information analysis of data in spreadsheet or database form. Data visualization strategies and techniques are covered. Students will examine different practices in data storage and how this data can be manipulated, analyzed, and presented. Foundational information organization and use theory are covered to familiarize students with common metadata standards in the information professions, including MARC and JSON. Valid and accessible markup is an important part of the course for developing usable and responsive web-page construction for any device. Students will differentiate between integrated library systems and discovery services, as well as examine systems for the creation, storage, and retrieval of digital objects.
Program Learning Goals Supported
Instructors map their courses to specific LIS Program Goals. Mapped program goals drive the design of each course and what students can expect to generally learn.
- Connect Core Values and Professional Ethics to Practice
- Curate Collections for Designated Communities
- Organize and Represent Information
- Innovate Professional Practice with Information Services and Technology
- Examine Systemic Inequalities to Improve Library and Information Practices through Equitable and Socially Just Interventions
Learning Outcomes
Instructors develop learning outcomes for their courses. Students can expect to be able to achieve the learning outcomes for a given course after successfully completing the course.
- Adapt cloud-based computing technologies for various information organization needs.
- Create advanced documents in productivity and presentation software for collaborative work.
- Develop technology-based information analyses and visualizations from structured data.
- Construct standard-based and accessible documents for display on any web device.
- Determine information-representation strategies for current database practices.
- Analyze metadata standards to create appropriate object descriptions.
- Appraise content and digital asset management systems for information organizations.
- Explain the relevance and impact of technological developments on the profession for access as well as diversity, equity, and inclusion.
Course Overview
Instruction is in Canvas. Lessons are organized into Modules whose length may vary.
Module 1: Audio and Video Introduction
- Canvas: NameCoach Audio
- Canvas: Embedding a Video
Module 2: Cloud-based Computing Technologies
- OneDrive
- Microsoft 365
- IUanyWare
- Group Work Strategies
- Remote Computing
Module 3: Data Organization
- Data vs Information
- Data on the Web
- Data in a Relational Database
- Data in a NoSQL database
- Data Types
Module 4: Information Documentation
- OPAC and Database Citation Help
- Online Citation and Bibliography Generators
- Citation Management Software
- Getting Started: Zotero and EndNote
- Basic Citation Management Skills
- Formatting Papers
Module 5: Classification, Extraction, and Crowdsourcing .
- Classification
- Extraction
- Crowdsourcing (human)
- Crowdsourcing (machine)
Module 6: Metadata Standards and Practice
- XML
- JSON
- MARC
- Dublin Core
- MODS
- METS
- PREMIS
Module 7: Information Representation
- Digitization
- Physical Materials
- Born-Digital Materials
- Using Digital Data to Create a Visualization
Module 8: Webpage Creation
- Online Website Builders
- Content Management Systems
- Web-Development Software
- HTML and CSS
- Editing a Web Page
- Web Validity
- Web Accessibility
Module 9: Web Publishing
- Uploading a File to a Web Server
- Checking Webpage Accessibility
- How Will Your Website Be Found?
- Web Publishing and Censorship
Module 10: Principles of Data Collection
- Collecting Data
- Qualitative and Quantitative Data Measurements
- Using Data
- Data Formats
Module 11: Information Architecture and Usability
- What Is Information Architecture?
- Shared Information Environments
- Organization of Information
- Findability and Usability
- Accessibility
- Usability Checklist
Module 12: Information Management Systems
- Integrated Library Systems and Library Management Systems
- Discovery Services
Module 13: Data Management, Storage, and Manipulation
- Digital Asset Management
- CONTENTdm
Module 14: Automating Inequality
- Algorithms
- Engineering and Automating Bias
- Bias in Library Catalogs
- How to Automate Equality
Policies and Procedures
Please be aware of the following linked policies and procedures. Note that in individual courses instructors will have stipulations specific to their course.