Research Data Management
College of Communication & Information
As a current graduate student or practitioner with a graduate degree, the online Research Data Management Graduate Certificate program at the University of Tennessee, Knoxville, can prepare you to work with researchers in managing their data throughout its lifecycle.
Cost Per Credit Hour*
Fall, Spring, Summer
*Cost per credit hour is an estimate based on maintenance and university fees. Some programs may have additional course fees. Please contact your department for additional information on any related fees, and visit Tuition and Fees in Detail at One Stop.
ACQUIRE THE KNOWLEDGE TO MANAGE THE RESEARCH DATA OF TOMORROW
The graduate certificate in Research Data Management will enable graduate students to develop knowledge and skills about working with researchers to help manage their research data. Research data management (RDM) focuses on all stages of the data lifecycle, including data planning, collection, description, access, use, preservation, and reuse of research data. Our graduates work with researchers in a variety of settings to provide research data management expertise in industry, national labs, and other academic settings. Research data management is essential as funding agencies, publishers and industry increasingly require data management plans, data deposition in trusted repositories, and data sharing. This 4-course, 12 credit hours graduate certificate in Research Data Management is beneficial to students already in a graduate program who want to supplement their courses with this specialization or to those who already have a graduate degree and want to learn more about research data management to enhance their careers.
In addition to the required 563 Data Management course, students may choose from a variety of other courses to complete the requirements, such as:
INSC 524: Metadata
Explores the role of metadata in our evolving information ecosystem(s) with an emphasis on metadata in the digital environment. Development and use of metadata schemas in information communities, including digital libraries, museums, and archives; scientific data centers, and governmental organizations. Enabling technologies used to create machine-understandable metadata (e.g., XML and RDF).
INSC 584: Database Management Systems
Defining data needs, data structures, role of operating systems in data management, file organization, database management systems, logical data models, internal data models, database administration and evaluation. Design and implementation of application using database management system.
INSC 592: Data Analytics & Visualization
Concepts of big data and data analytics in settings such as academia, organizations, the sciences, and on the web. Basic concepts and process of data analytics, and data mining techniques and skills (ETL). Designing effective information visualizations.
INSC 516: Geospatial Technologies
Creation, distribution, growth, use and misuse of geospatial data. Application of geospatial technologies to generate maps, tables and imagery.
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