An Information Governance Methodology to Tackle Digital Recordkeeping Challenges: The Convergence of Artificial Intelligence, Business Analysis and Information Architecture


Information Governance is an emerging cross-disciplinary framework to ensure the proper management of information within organizations. This paper presents a five-step methodology to implement Information Governance comprising 1) Information Management Need and Capacity Analysis; 2) Functional Analysis; 3) Process Analysis; 4) Information Architecture Development; and 5) Natural Language Processing Requirement Specifications and Iteration. Within this methodology, principles and techniques borrowed from the disciplines of Artificial Intelligence, Business Analysis and Information Architecture converge to tackle various digital recordkeeping challenges.

Oct 22, 2020 13:00 ET — 13:30 ET
Inge Alberts
Inge Alberts
School of Information Studies, University of Ottawa

Inge Alberts is Associate Professor at the School of Information Studies at the University of Ottawa, as well as Scientific Director at the Cogniva Information Science Research Institute. Her research stems from several years of Information Management consulting experiences in different business spheres combined with a strong interest for information architecture, document theory and automatic classification.