Data Information Technology
Data, information and technology are central in modern libraries and information services. This cluster encompasses the essential foundational knowledge that prepares emerging professionals for careers in the continuously evolving information environment. All pathways in this area build from foundational studies in digital technologies, organized to focus on data, the Internet, and information systems. Students may elect to specialize in one of five areas, or with an advisor’s guidance, plan a specialized path. Students interested in the creation, storage, and accessibility of digital information resources focus on digital libraries. The long-term accessibility of digital resources is a key concern, addressed by professionals specializing in digital preservation. With the advent and evolution of globally massive data repositories, the challenges of data management are addressed by specialists in the practices of data production and data usage. Data repositories are generated by a variety of sources - scientific research, government, business, and modern information systems such as social networks, the Internet of Things, and citizen science. These swelling resources offer rich potential for the development of new knowledge when combined with the skills of professional data analytics. Across data, information, and technology practices, specialists in evaluation bring rigorous analysis methods to questions about how well information systems are meeting the needs of service providers and user communities.
Specialization in Applied Data Science (ADS) emphasizes users, tools, and applications in the Data Science Lifecycles. The ADS pathway prepares students for a career in Data Science with practical skills to solve real-world data problems at application levels, rather than computational level or system development level. It offers training of information science and knowledge organization principles and hands-on skills to solve data problems in application domains and use related tools and products effectively.
For further information on this area, please consult the advising sheet for the Applied Data Science pathway.
According to the Association of Library Collections and Technical Services, “Digital preservation combines policies, strategies and actions to ensure access to reformatted and born digital content regardless of the challenges of media failure and technological change. The goal of digital preservation is the accurate rendering of authenticated content over time.” Students wishing to focus in the digital preservation area will pursue specialized coursework in information technology, digital preservation and curation, archival studies, and metadata schemas and application profiles for preservation.
For further information on this area, please consult the advising sheet for the Digital Preservation pathway.
Research data management is a growing area. Data management of large data sets and longitudinal research data involves a diverse range of skills, including working and communicating directly with scientists, project managers, field staff, library staff, and dataset users. Data management positions can require: managing daily workflows of information, supervising the checking and validity of the data, managing data dictionaries and taxonomies, responsibility for training and defining vocabularies and systems, managing data requests from a range of stakeholders and third parties, and maintaining intellectual control over a range of data types and datasets over time.
For further information on this area, please consult the advising sheet for the Research Data Management pathway.