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Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge

Elements and Performance Criteria

1. Source spatial data.
   • Job specifications for required spatial data are identified in consultation with appropriate persons.
   • Search is undertaken of a range of media to identify sources of potential spatial data.
   • Metadata, datasets and attributes are obtained and assessed to determine most appropriate data source according to job specifications.
   • Potential sources of spatial data are listed according to job specifications and organisational requirements.
2. Assess potential spatial data.
   • Potential spatial data and datasets are assessed for suitability against job specifications.
   • Availability of suitable spatial data is verified with potential suppliers, and constraints are identified according to organisational requirements.
   • Spatial data indexing, backup and archiving requirements are determined to ensure currency.
3. Prepare data suitability report.
   • Spatial data is collected and set out according to job specifications and organisational requirements.
   • Administrative and industry requirements for data collection are complied with and recorded.
   • Documentation is completed according to organisational requirements.

Range Statement

This section specifies work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included. Bold italicised wording, if used in the performance criteria, is detailed below.
Appropriate persons must include at least one of the following:	client colleague qualified surveyor supervisor or line manager spatial data provider.
Metadata must include at least four of the following:	availability conditions of use coordinate system currency custodian data accuracy data description date of acquisition licence quality source spatial data acquisition methodologies version control.
Documentation must include:	written assessment of data availability, including cost, licensing conditions, and constraints on use written assessment of suitability of available data in meeting requirements for accuracy, completeness, coverage, density, logical consistency and specifications.

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Performance Evidence

A person demonstrating competency in this unit must satisfy the requirements of the elements, performance criteria, foundation skills and range of conditions of this unit. The person must also source and assess the availability and suitability of spatial data for two different projects in consultation with colleagues.

While sourcing and assessing the above spatial data, the person must:

clarify job specifications, including extent, content, intended use, accuracy, precision and format of spatial data

complete required documentation, including written assessments as specified in the range of conditions

communicate clearly with others to clarify and discuss work tasks

comply with legal and organisational requirements relating to:

completing records and documentation

copyright and ownership of spatial data

using and storing equipment

working safely

perform spatial data measurements, reduction and manipulation with accuracy

set out spatial data and related attributes, including:

colour

layer

level

line type

line width

text

verify availability of suitable data with suppliers, taking into account copyright and ownership constraints.

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Knowledge Evidence

A person demonstrating competency in this unit must demonstrate knowledge of:

accuracy and precision requirements relating to measuring and recording spatial data

key features of spatial reference systems

methods for assessing the availability and suitability of spatial data

potential sources of spatial data and datasets

range of basic spatial data capture and data set-out methodologies

requirements to comply with data license agreements and copyright

spatial data formats, handling and structure

spatial data recording and reduction techniques.

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