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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.

Item Type:	Conference Extract
Keywords:	functional transformation, research metadata, HERDC
Research Division:	Information and Computing Sciences
Research Group:	Computer Software
Research Field:	Computer Software not elsewhere classified
Objective Division:	Information and Communication Services
Objective Group:	Computer Software and Services
Objective Field:	Application Tools and System Utilities
UTAS Author:	Mitchell, I (Mr Ian Mitchell)
UTAS Author:	Harvest, TMA (Dr Tammy Harvest)
ID Code:	86404
Year Published:	2013
Deposited By:	Research Division
Deposited On:	2013-09-12
Last Modified:	2016-02-12
Downloads:	290 View Download Statistics