Fundamentals of MAST & IDEAL Metadata

SPONSORED BY ARISTOTLE. Fundamentals of MAST & IDEAL Metadata is a short-course in the MAST/IDEAL Methodology, a pragmatic framework for building understanding and organisational support for data management through good processes rather than specific tools or standards.

The MAST/IDEAL Methodology is a standards-agnostic and tools-independent approach that supports existing frameworks such as the Data Management Body of Knowledge and DDI Data Lifecycle, which talk about what data practitioners must do, by providing a step-by-step guide on how practitioners can develop skills and culture to perform these tasks. This course will be delivered in a practioner-led group session, including:

Peer discussions on case studies highlighting existing challenges in change management and education in data governance Examination of sample templates for documenting data and how to adopt these for existing projects Peer discussions on the use of MAST & IDEAL for the selection of data standards and software As an emerging framework, following the course participants will be invited to provide feedback on the methods and frameworks presented to gather data on ongoing research into the framework. Participants will also be invited to complete an online quiz to receive a digital micro-certification to promote their own experience and knowledge.