AS 5329:2020 pdf Workforce data quality
1.1 Scope
This document specifies a basis for organisational improvement in the quality of workforce data
available for analysis and, decision-making.
Workforce data quality, for the purpose of this document, is the process of —
(a) workforce data determination;
(b) data capture;
(c) data maintenance; and
(d) data review processes.
This document does not cover the analysis of data and reporting structure or the definition of any
metric other than quality of human resources (HR) data.
1.2 Normative references
There are no normative references in this document.
NOTE Documents referenced for informative purposes are listed in the Bibliography.
1.3 Terms and definitions
For the purposes of this document, the following terms and definitions apply.
1.3.1 accuracy
the degree to which data reflects the parameters being measured including consideration for the
purpose and use of data
1.3.2 completeness
relevant data recorded at level of granularity required
1.3.3 consistency
capture of data over length of time in the same format, coding and naming conventions and used in
the same way
1.3.4 data
reinterpretable representation of information in a formalized manner suitable for communication,
interpretation, or processing
[SOURCE: ISO 10303-1:1994, 3.2.15]
1.3.5 data set
logically meaningful grouping of data
Note 1 to entry: An example of a data set is electronic data interchange (EDI).
1.3.6 data quality
degree to which a set of inherent characteristics of data fulfils requirements
1.3.7 data quality management
coordinated activities to direct and control an organization with regard to data quality
1.3.8 information
knowledge concerning objects, such as facts, events, things, processes, or ideas, including concepts, that within a certain context has a particular meaning
1.3.9 may
indicates the existence of an option
1.3.10 measure
ascertain or determine the magnitude or quantity of something
1.3.11 measurement
result of measuring something
1.3.12 objective evidence
data supporting the existence or verity of something
Note 1 to entry: This can be determined through observing, measuring, testing or other means.
1.3.13 process
set of interrelated or interacting activities that use inputs to deliver an intended result
1.3.14 quality
degree to which a set of inherent characteristics of an object fulfils requirements
Note 1 to entry: The term “quality” can also be used with adjectives such as poor, good or excellent.
Note 2 to entry: “Inherent”, as opposed to “assigned”, means existing in the object.
1.3.15 relevance
ability to use data to generate meaning, insights and interpretations for specified audience
1.3.16 requirement
need or expectation that is stated, generally implied or obligatory
1.3.17 shall
indicates that a statement is mandatory
1.3.18 should
indicates a recommendation
1.3.19 timeliness
responsiveness in the availability of data, accounting for cyclical impacts
Note 1 to entry: For example, seasonal trends.
1.3.20 validation
confirmation, through the provision of objective evidence, that the requirements for a specific intended use or application have been fulfilled
1.3.21 verification
confirmation, through the provision of objective evidence, that specified requirements have
been fulfilled
1.3.22 workforce
anyone engaged in providing labour or service that contributes to organisational outcomes
Note 1 to entry: This includes direct employees (on payroll), agency staff, contractors, consultants and volunteers.
1.3.23 workforce data
information represented in a formal manner relating to labour or service that contributes to
organisational outcomes
1.3.24 workforce data quality
degree to which the inherent characteristics of workforce data fulfils requirements
Note 1 to entry: “Inherent” means existing in the object.
2.1 General
A high level of workforce data quality ensures the basis of decision-making is complete. When
considering what data to capture, refer to relevant Australian and international human resource
management standards.
NOTE 1 Refer to ISO 30414:2018 Table 2 which highlights and recommends a number of metrics for reporting internally and/or externally.
NOTE 2 See Appendix A for impacts of poor data quality.
AS 5329:2020 pdf Workforce data quality
