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U/S; 10171 – Manage the Capture, Storage and Retrieval of Human Resources Information Using an Information System 

U/S; 10171 - Manage the Capture, Storage and Retrieval of Human Resources Information Using an Information System 

Learning Unit1

US:10171 NQF LEVEL 5 WORTH 3 CREDITS

MANAGE THE CAPTURE, STORAGE AND RETRIEVAL OF HUMAN RESOURCES INFORMATION USING AN INFORMATION SYSTEM

Unit Standard Purpose

This unit standard is intended for persons who support, or seek to support, human resources management processes within an organization. Persons credited with this unit standard are able to organize the collation, storage and retrieval of information required for human resources management in an organization, and advise and inform the organization by providing information required for human resources management.

Learning Assumed to be in Place

It is assumed that people starting to learn towards this standard are able to use a variety of techniques for gathering, ordering, recording, reporting and retrieving data.



SESSION 1

SO 1

ORGANISE THE COLLATION OF INFORMATION REQUIRED FOR HUMAN RESOURCES MANAGEMENT.

Learning Outcomes

(Assessment Criteria)

The collated information meets design requirements.

The information is accurate, verifiable against reliable sources and obtained within agreed time frames.

Information obtained is verified and where information is inadequate, contradictory or ambiguous, prompt and effective action rectifies deficiencies.

The methods used to collate information are effective, efficient and consistent with organizational values, policies and legal requirements.

The Collated Information Meets Design Requirements. 

 

What does collate mean?

 

When it comes to documents with multiple pages that you need to get in print, one question that you will get from your printing company “Do you want your printed documents to be collated or uncollated?” So what does collate mean? Collate is a verb that indicates that there are a number of items that are collected and combined in a proper order. 

Co-designing the data collection and sharing system

Co-managers will have overlapping data needs to support their roles (Figure 12). For example, many of the data types required for policy and development planning and evaluation may be similar to those required by local managers to evaluate the performance of their local management plans. The greater the overlap the more opportunities will exist to share data and information and the responsibility for collecting it.

Key stages in designing an effective and efficient data collection and sharing system are therefore identifying and maximizing this overlap, and reaching agreement on who should collect and share data to generate this information based upon their capacity and motivation. Responsibility for collecting the remaining data will also have to be reached. In some cases, the Government and LMI may be happy to collect these data independently of one another (often informally in the case of the LMI) but then later share them with one another. In other cases they may agree to collect data on behalf of one another provided they are sufficiently motivated to do so.

This chapter describes a participatory process for undertaking these key and other important stages when designing a data collection and sharing system for co-managed fisheries. The key elements of this chapter also form the basis of the accompanying Part1 of this paper: Practical guide.

 

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