Difference between revisions of "Capture"

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Revision as of 16:35, 14 August 2014

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Definition

Capture is The knowledge process that brings data, information, or knowledge into the organizational knowledge base. A process of capturing the knowledge available within an organization and making it available.

Summary

Knowledge capture may refer to be either explicit, implicit or tacit knowledge. While capturing explicit knowledge is rather straightforward, usually inserting information into a document management system, the process of capturing tacit knowledge is more involved. An efficient way of capturing tacit knowledge is integration into day-to-day work processes. Capturing of specific knowledge, e.g. when a risk of losing knowledge is identified, may require targeted measures and tailored tools.

Capture belongs to learning processes.

For the nine main knowledge process categories see Fig 1.

Category:Knowledge processesCategory:Creation processesCategory:Validation processesCategory:Transformation processesCategory:Disposal processesCategory:Learning processesCategory:Combination processesCategory:Finding processesCategory:Maintenance processesCategory:Sharing processesKnowledge processes 10.png
About this image

Purpose

To bring data, information, or knowledge into the organization's knowledge base

Sub-processes

There are no sub-processes for this knowledge process.

Connection to other main categories

To see how this process is connected to KM challenges, benefits and tools, please refer to Portal:Learning.

Contribution to the management system

Recommendation

Table of business processes

This knowledge process is embedded in the following business processes in the Integrated management system. Each process has a score commensurate with its relevance to this process.

Business process Impact
Lessons learned Medium

Processes not in the management system

KM tools

For all the KM tools that help implement the knowledge process see Category:Learning process tools

Capture tools

Overview

Knowledge capturing refers to collecting all information available in the organization, and making it retrievable in the knowledge base of the organization. While capturing explicit knowledge is rather straightforward, the capturing of tacit knowledge usually is more involved, and may require specific provisions by the organization. However, it has to be kept in mind that frequently tacit knowledge is impossible to codify. In these cases, an expert directory with search capabilities for specific skills or know-how might offer an appropriate solution.

Capturing explicit knowledge

Customarily, documented (or "codified") knowledge is stored in document management systems or content management systems. Such systems are able to handle of a wide range of media and formats, and usually offer a rich set of features for managing all document related processes. The capturing of tacit knowledge results ultimately in documents which are stored in the document management system, and thus made available to everybody having access rights to the documents.content

Capturing implicit and tacit knowledge

Implicit knowledge can be captured and codified. Thus the aim of the capture process is to make implicit knowledge explicit and easier to share and store, and thus available in the organization's knowledge base.

Tacit knowledge may be very difficult if not impossible to be made explicit; basically, the observable parts of it can be captured and codified.

The capturing process may also be viewed as a mode of knowledge transfer.

Integrating knowledge capture in day-to-day work

A very efficient way of capturing tacit knowledge consist in integrate knowledge capturing into work processes. Indeed, much tacit knowledge is captured by documentation as an inherent part of many work activities. However, more effort may be requested in order to capture the knowledge generated in work processes in a systematic way. Appropriate methods are well established by now, and include capturing personal experience (debriefing), collections of process of project experiences (after action reviews, lessons learned), and distillation of good experiences (best practices). If the work process is well defined and appropriate procedures are specified in the workflow, the capturing process will not be seen as causing additional work load, but will be acknowledge as an inherent part of the work process

Debriefing

After action review

Lessons learned

Best practice

Capturing specific knowledge

In cases where risks of losing critical knowledge have been identified, such as key people retiring or leaving, or reliance on a single expert, targeted measures and tailored tools may be required to support a facilitated process of knowledge capture.

In the case of capturing specific knowledge, the extent of the knowledge to be externalized, the knowledge holders and the circle of recipients are usually well known. Therefore, the capturing process may be specified more precisely, often in form of a project. This will start from choosing appropriate methods and tools, and may include appointing a facilitator, scheduling a series of face-to-face sessions, and determining and inviting attendants of the sessions (one or more experts, facilitator, recipients). As a result, the knowledge should be available in the document management system in a form best suited to the needs of knowledge recipients.

Case study: Sellafield practices

In Sellafield, the capture of expert knowledge is organised by the ROCK (retention of critical knowledge) process, which consists of a risk assessment, followed by the implementation of an action plan, in which a ROCK facilitator works with the expert and knowledge recipients to both capture and transfer relevant expertise. The capture results are stored in a Sharepoint expertise library. The capture tools are described in a Sharepoint ROCK resource centre.

References

[1]

Related articles

Capture tools

Transfer

Sharing

Knowledge process

Best practice

Lessons learned

Explicit knowledge

Tacit knowledge