LBAS3002
Archives and Collections Management - A New Digital World
Last taught 2021
Autumn
Trondheim
Norwegian
About this course
Content
The course addresses recent issues of digitalisation and society with relevance to records management, archives and collections management. The course provides an overview of important new digital challenges and possible solutions that can also help to develop and strengthen the archives and museums' democracy- and rule-of-law-related roles. These include issues such as cloud storage, big data, service-oriented architecture and data security. Examples of data representation of large amounts of data in scalable systems are reviewed, e.g. storage, representation of images, multimedia, large amounts of text, documents or data. The course can be replaced, alone or in conjunction with LBAS 3001, by other courses from one of the following NTNU faculties: the Faculty of Humanities, the Faculty of Social and Educational Sciences and the Faculty of Information Technology and Electrical Engineering. The courses LBAS 3001 and 3002 can also be replaced by examinations in subjects of similar scope (30 ECTS credits) from exchange abroad.
Learning outcomes
Knowledge: The student - knows and understands the concept of Service Oriented Architecture (SOA) - knows different methods and technologies for the Semantic web, including semantic formats (such as RDF, OWL and XML) to describe metadata / ontologies - have some knowledge of data security / authentication / encryption - have some knowledge of ethical aspects used for the subject's problems that can be used by personal data. Skills: The student - can suggest solutions for (long-term) storage and data representation of store computer in scalable systems assigned specifications (relevant) issues - can explain based on examples of what is storage and data presentation of store computers in scalable systems General competence: The student can relate to questions concerning Big Data data) has knowledge of basic data analysis (data mining) and computer searches and knowledge systems (available knowledge), and how images can be used in an organization.
Teaching methods
Lectures, seminars and group work, exercises.