In the processing of research metadata there are typically many iterations in order to quality check, maintain and report data in a meaningful way. The transition from raw data to meaningful reportable data is also usually via many routes and via many systems. Data manipulation in a downstream data store is potentially dangerous since the changes cannot easily be propagated back up. This issue becomes exponentially more difficult to control the more the data transitions from one system to another. We argue that is it more efficient to collect data and store it once. Data processing is replaced with functional data transformation. The transformation can either be in-place or temporary. Data transformed is a culmination of the functions applied to it. At any functional transformation an in-place update can be made and the changes will automatically propagate though the functional transformations to the output. This poster highlights the benefit of functionally transforming data using an all-electronic HERDC for publications.
History
Publication title
Stimulating Change: Inspire, Innovate, Engage - Proceedings of the Australian Research Management Society Conference 2013
Volume
Poster
Editors
K Burke
Publisher
Australian Research Management Society
Place of publication
Adelaide, Australia
Event title
Australian Research Management Society Conference 2013
Event Venue
Adelaide, Australia
Date of Event (Start Date)
2013-09-11
Date of Event (End Date)
2013-09-13
Repository Status
Open
Socio-economic Objectives
Information systems, technologies and services not elsewhere classified