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Linked data education and training: Past, present, and future
Author(s) -
Dobreski Brian,
Zeng Marcia Lei,
Kovari Jason,
Qin Jian
Publication year - 2020
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.225
Subject(s) - metadata , curriculum , knowledge management , best practice , political science , public relations , engineering ethics , data science , computer science , engineering , world wide web , law
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.