ELEMENT

PERFORMANCE CRITERIA

1 Determine data requirements

1.1 Business needs are identified in consultation with all functional areas of council.

1.2 Data requirements are defined in accordance with business needs.

2 Implement data standards

2.1 Appropriate data standards are implemented consistent with industry standards.

2.2 All data complies with implemented standards.

2.3 Opportunities for continuing improvement are investigated, assessed and implemented.

3 Coordinate data capture and conversion

3.1 Data acquisition strategies are developed to meet defined requirements.

3.2 A range of appropriate technologies for data acquisition is used.

3.3 Data is converted using appropriate technical interfaces.

3.4 The effects of spatial and temporal resolution of the information content of remote-sensed data are taken into account in assessing the data.

4 Implement data maintenance and validation procedures

4.1 Routines for data validation and maintenance are developed and implemented.

4.2 Versions of data and related systems are documented to ensure reliable historical tracking and accessibility.

4.3 Appropriate data is collated into one system for transfer and integration into other systems.

5 Develop and implement data quality and security assurance procedures

5.1 Quality procedures for data acquisition, storage and supply are developed and implemented.

5.2 Meta-data standards are developed and implemented in line with industry best practice.

5.3 Regular audits of data quality are performed and followed up with appropriate advice.

5.4 Systems for archiving and backing up the data resource are implemented.

6 Provide input into council systems development

6.1 Timely advice and forecasting of data storage capacity, processing capability and other requirements are provided to management to ensure council's geographic information systems (GIS) requirements are recognised and considered in the budget.

6.2 Input is provided to upgraded or new council systems.

This describes the essential skills and knowledge and their level, required for this unit

Required Skills

planning sequence of work

management of data process

judgement relating to suitability of data

quality management

Required Knowledge

professional and legal liability certificate issued using GIS as part of basis for issue

use and physics of remote sensing technologies, including aerial photography

data input technologies, including digitising, scanning and remote sensing

effects of spatial and temporal resolution of the information content of remote-sensed data

database management technologies

data output and distribution technologies including scripting, query languages, macro development, graphic interfaces, networks and remote access

quality standards

information management techniques

complex spatial information technologies, spatial phenomena and data

legislation relating to land tenure, environmental planning, surveying, infrastructure and natural and built resources

current standards across the organisation and the industry

quality improvement practices

broad knowledge of different function areas of council

Overview of assessment requirements

A person who demonstrates competency in this unit will be able to perform the outcomes described in the Elements to the required performance level detailed in the Performance Criteria. The knowledge and skill requirements described in the Range Statement must also be demonstrated. For example, knowledge of the legislative framework and safe work practices that underpin the performance of the unit are also required to be demonstrated.

Critical aspects of evidence to be considered

High level of proficiency in both managing tasks and carrying them out directly

Business needs are met by data requirements.

Reliable, timely and cost-effective information is provided

Context of assessment

On the job or in a simulated work environment.

Method of assessment

The following assessment methods are suggested:

observation of the learner performing a range of workplace tasks over sufficient time to demonstrate handling of a range of contingencies

written and/or oral questioning to assess knowledge and understanding

completion of workplace documentation

third-party reports from experienced practitioners

completion of self-paced learning materials including personal reflection and feedback from trainer, coach or supervisor

Evidence required for demonstration of consistent performance

Evidence will need to be gathered over time across a range of variables.

Resource implications

Access to a workplace or simulated case study that incorporates the following resources:

complex spatial information technologies including digitising, scanning, remote sensing, aerial photography, spatial phenomena and data

data output and scripting technologies including scripting, query languages, macro development, graphic interfaces, networks and remote access

legislation relating to land tenure, environmental planning, surveying and natural and built resources

information management systems

The Range Statement relates to the Unit of Competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording in the Performance Criteria is detailed below.

Data input technologies may include:

remote sensing including:

aerial photography

digitising

scanning

coordinate geometry

Data standards may include:

standards relating to acquisition, storage and quality as determined by user requirements