Online Graduate Certificate in Research Data Management
Research Data Management
Program Overview
Learn how to collaborate with researchers and manage their data throughout its lifecycle. The University of Tennessee, Knoxville’s online Graduate Certificate in Research Data Management (RDM) will empower you to apply advanced data management knowledge across various settings, including industry, national labs, and academia. Our Research Data Management Certification is for current graduate students or practitioners with a graduate degree. Beyond the core course, you can select from many others, such as Metadata, to refine your expertise.
Why Earn a Research Data Management Graduate Certificate?
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 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-hour graduate certificate in Research Data Management benefits students already in a graduate program who want to supplement their courses with this specialization or those who already have a graduate degree and want to learn more about research data management to enhance their careers.
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Featured Courses
In addition to the required 563 Data Management course, students may choose from a variety of other courses to complete the requirements, such as:
The creation, distribution, growth, use, and misuse of geospatial data. The application of geospatial technologies to generate maps, tables, and imagery.
Explores the role of metadata in our evolving information ecosystem(s), emphasizing 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).
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 an application using a database management system.
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, as well as data mining techniques and skills (ETL). Designing effective information visualizations.
