Webinars in 2021

This webinar, organized by the Dublin Core Metadata Initiative Education Committee, will provide an overview of and reflections on the edited book, Information and Knowledge Organisation in Digital Humanities: Global Perspectives. This volume explores the potential uses of, and challenges involved in, applying the organisation of information and knowledge in the various areas of Digital Humanities. By focussing on how information is described, represented, and organised in both research and practice, this work furthers the transdisciplinary nature of digital humanities.

About the webinar OpenRefine is a freely available desktop application for cleaning and processing data. This webinar will introduce the basic features of OpenRefine and discuss its use in some common scenarios for metadata cleaning and improvement.

About the webinar There is a variety of new cultural domains for which we need to design metadata schemas. It is widely recognized that data models are crucial to design metadata schemas – we need to identify objects for which we create metadata. This webinar aims to present a set of generalized data models designed for metadata about resources in cultural domains such as intangible cultural heritage and popular culture. The presenter will first introduce the generalized data models and then discuss data models designed in the Media Arts Database project and related projects in which they are involved.

About the webinar In this presentation, we discuss the Data Documentation Initiative (DDI) standard for describing the data produced by surveys and other observational methods in the social, behavioral, economic, and health sciences. We spend the bulk of our time highlighting DDI-Codebook and DDI-Lifecycle. DDI-Codebook is a more light-weight version of the standard, intended primarily to document simple survey data. DDI-Lifecycle is designed to document and manage data across the entire life cycle, from conceptualization to data publication, analysis and beyond. It encompasses all of the DDI-Codebook specification and extends it to more complex, linked, and longitudinal data. Based on XML Schemas, DDI-Lifecycle is modular and extensible.

KNIME Analytics Platform is an open source software for working with all kinds of data. It uses visual workflows that are created with an intuitive, drag and drop style graphical interface, without the need for coding.