Linked data education and training: Past, present, and future. Issue 1 (22nd October 2020)

• Record Type: Journal Article
• Authors: Dobreski, Brian; Zeng, Marcia Lei; Kovari, Jason; Qin, Jian
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 57:Issue 1(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-10-22
• Subjects: education and training -- learning resources -- linked data -- metadata; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.225
• Languages: English
• ISSNs: 2373-9231

Abstract

Abstract: Studying, designing, and implementing linked data is becoming an increasingly important part of many information settings. Whether taking part in high‐profile grant funded collaborations, local exploratory projects, or adopting a "wait and see" approach, institutions such as libraries, archives, and enterprise organizations will need professionals versed in linked data technologies and practices. In recent years, many advances have been made toward the establishment of an educational foundation for information professionals in this area, through both the incorporation of linked data topics into formal course curricula as well as the establishment of community‐driven, open access learning resources online. However, questions and challenges remain. In this panel, presenters will explore the past, current, and future states of linked data education and training while addressing ongoing challenges and opportunities for preparing metadata professionals in this area.