ISO 30435:2023 人事管理 — 従業員データの品質 | ページ 2

Foreword

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This document was prepared by Technical Committee ISO/TC 260, Human resource management.

Introduction

Workforce data quality is concerned with policies, processes and practices for:

• identifying and determining relevant workforce data;
• data capture;
• data maintenance;
• data review.

This document establishes the importance of data quality and the validity and consistency of comparative data across functions, size, specific segmentation, industry sector, industry and region. This document also provides a basis for continual improvement in the quality of workforce data that are available for analysis and to support evidence-based decision-making.

The application of this document’s guidelines assists organizations to make informed decisions based on high-quality workforce data. The economic and social benefits derived from improved decision-making are substantial and, along with the impacts of poor workforce data quality, are discussed in Annex A.

1 Scope

This document provides the basis for organizational improvement underpinned by quality workforce data that supports analysis and evidenced-based 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;
• d) data review processes.

The focus of this document is on the quality of data itself rather than on other critical aspects relating to the overall management of data, such as privacy and security of personal data, the analysis and reporting of data and the use of technology.

This document does not cover the analysis of data and reporting structure or the definition of any metric other than quality of workforce data. Technology platforms in the form of human resource information systems, databases, spreadsheets, and the like, can improve the process of the capture and management of data. The focus of this document is the data itself.

While data security and data privacy are also critical to the overall management of data, they are not dealt with in this document.

This document is applicable to all types and sizes of organization across all industry sectors and regions.

2 Normative references

There are no normative references in this document.

3 Terms and definitions

No terms and definitions are listed in this document.

ISO and IEC maintain terminology databases for use in standardization at the following addresses:

Bibliography