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data_quality_management_system:awareness_of_data_quality [2023/02/26 17:20]
peter 		data_quality_management_system:awareness_of_data_quality [2024/03/08 13:33] (current)
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 ===== Awareness of data quality ===== ===== Awareness of data quality =====
- 
-=== Introduction === 
- 
-This factsheet describes knowledge about awareness of data quality in a nutshell. Awareness of 
-data quality is highlighted in this factsheet from different angles in a structured way. 
  
 === Definition === === Definition ===
 +Awareness of data quality is [[general_term:awareness|awareness]] with regards to [[data_quality_general:data quality|data quality]].
  
 +===Note 1===
 Awareness of data quality is an acknowledgement or realisation by everyone in an organisation, Awareness of data quality is an acknowledgement or realisation by everyone in an organisation,
 that their current skills and competencies are (becoming) ineffective, resulting in data of that their current skills and competencies are (becoming) ineffective, resulting in data of
 inadequate quality. inadequate quality.
- 
-===Note 1=== 
- 
-Awareness is attained when people understand their responsibilities and how their actions 
-contribute to the achievement of the organisation’s objectives (ISO 9000:2015). 
  
 Knowledge is generally, expertise; familiarity gained through experience or association; recognition Knowledge is generally, expertise; familiarity gained through experience or association; recognition
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 ===Note 2=== ===Note 2===
  
-ISO 9001 states, that the organisation shall ensure that persons doing work under the organisation's control are aware of (ISO 9001:2015):+ISO 9001 states, that the organisation shall ensure that persons doing work under the organisation's control are aware of (ISO 9001:2015) the following aspects:
      - The [[data_quality_management_system:data quality policy|data quality policy]].      - The [[data_quality_management_system:data quality policy|data quality policy]].
      - Relevant [[data_quality_management_system:data quality objective|data quality objectives]].      - Relevant [[data_quality_management_system:data quality objective|data quality objectives]].
-     - Their contribution to the effectiveness of the [[data_quality_management_system:data quality management system|data quality management system]], including the benefits of improved performance. +     - Their contribution to the effectiveness of the [[data_quality_general:data_quality_management_system|data quality management system]], including the benefits of improved performance. 
-     - the implications of not conforming with the [[data_quality_management_system:data quality management system|data quality management system]] requirements.+     - The implications of not conforming with the [[data_quality_general:data_quality_management_system|data quality management system]] requirements.
  
 ===Note 3=== ===Note 3===
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 ===Note 4=== ===Note 4===
  
-Awareness and knowledge are also used interchangeably, whereas in training & development, +Awareness and knowledge are also used interchangeably, whereas in training & development, these are considered as categories or labels for proficiency, each with their own specific levels for
-these are considered as categories or labels for proficiency, each with their own specific levels for+
 proficiency: proficiency:
  
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 | Mastery | Level 4.x Level 4.1 | (out of scope for this factsheet) | (out of scope for this factsheet) | | Mastery | Level 4.x Level 4.1 | (out of scope for this factsheet) | (out of scope for this factsheet) |
 | Skilled | Level 3.x Level 3.1 | (out of scope for this factsheet) | (out of scope for this factsheet) | | Skilled | Level 3.x Level 3.1 | (out of scope for this factsheet) | (out of scope for this factsheet) |
-| **Knowledge** | Level 2.x Level 2.1 | Skills to e.g. inspect and correct [[data_quality_management_system:data issue|data quality issues]] using tools with some help or guidance from others. | Conscientious, accurate approach, etc |+| **Knowledge** | Level 2.x Level 2.1 | Skills to e.g. inspect and correct [[data_quality_management_system:data_quality_issue|data quality issues]] using tools with some help or guidance from others. | Conscientious, accurate approach, etc |
 | **Awareness** | Level 1 | Skills to acknowledge, recognise or become familiar with certain terminology, procedures, policies, other people’s work, etc, as a foundation to improve data quality. | General interest in data quality developments, challenges, or having a “helicopter view”, etc. | | **Awareness** | Level 1 | Skills to acknowledge, recognise or become familiar with certain terminology, procedures, policies, other people’s work, etc, as a foundation to improve data quality. | General interest in data quality developments, challenges, or having a “helicopter view”, etc. |
  
-Awareness of data quality has only one proficiency level and is about leadership and staff having +Awareness of data quality has only one proficiency level and is about leadership and staff having the skills and competencies to recognise or acknowledge the occurrence of inadequate data quality and its impact on the organisation. 
-the skills and competencies to recognise or acknowledge the occurrence of inadequate data + 
-quality and its impact on the organisation.+After having awareness, the next step is “Knowledge of data quality”. This is about having the skills and competencies to take effective actions to improve the quality of data to an adequate 
  
-After having awareness, the next step is “Knowledge of data quality”. This is about having the 
-skills and competencies to take effective actions to improve the quality of data to an adequate 
 level with some guidance from others. level with some guidance from others.
  
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 | **Phase** | **Activity** | | **Phase** | **Activity** |
-| Plan | 1. to measure awareness 2. to prepare awareness program | +| Plan |* To measure awareness\\  * To prepare awareness program | 
-| Do | 3. to execute awareness program (raise awareness) 4. to repeat awareness program periodically | +| Do |* To execute awareness program (raise awareness)\\ * To repeat awareness program periodically | 
-| Check | 5. to monitor awareness 6. to evaluate awareness program | +| Check |* To monitor awareness\\* To evaluate awareness program | 
-| Act | 7. to adapt awareness program |+| Act |* To adapt awareness program |
  
-**Note 1**+**Note 5**
  
-Managing awareness of Data Quality may have different objectives (i.e. creating awareness,+Managing awareness of [[data_quality_general/data_quality|data quality]] may have different objectives (i.e. creating awareness,
 maintaining awareness, or increasing awareness): maintaining awareness, or increasing awareness):
  
   - Activities related to __creating__ awareness for Data Quality if there is no awareness at all from the start. This situation would typically occur in a ‘green-field’ situation where no prior initiatives have taken place to assess the awareness of Data Quality among staff and leadership in an organisation.    - Activities related to __creating__ awareness for Data Quality if there is no awareness at all from the start. This situation would typically occur in a ‘green-field’ situation where no prior initiatives have taken place to assess the awareness of Data Quality among staff and leadership in an organisation. 
-  - Activities related to __maintaining__ awareness levels for Data Quality, if the awareness levels have (suddenly) dropped and do not align with an agreed ambition level for Data Quality.  +  - Activities related to __maintaining__ awareness levels for Data Quality, if the awareness levels have (suddenly) dropped and do not align with an agreed ambition level for [[data_quality_general/data_quality|data quality]].  
-  - Activities related to __increasing__ the awareness levels for Data Quality to reach a higher ambition level for Data Quality.+  - Activities related to __increasing__ the awareness levels for [[data_quality_general/data_quality|data quality]] to reach a higher ambition level for Data Quality.
  
 When mentioning ‘improving awareness’ or ‘raising awareness’, the above objective needs to be When mentioning ‘improving awareness’ or ‘raising awareness’, the above objective needs to be
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 coaching, etc). coaching, etc).
  
-**Note 2**+**Note 6**
  
 Improving or raising awareness through communications requires the communications to: Improving or raising awareness through communications requires the communications to:
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 ignoring the message. ignoring the message.
  
-=== Managing Awareness of Data Quality through monitoring & evaluation ===+=== Managing Awareness of data quality through monitoring & evaluation ===
  
   * Plan for recurring in-person trainings, or instructor-led online trainings every 6 months to raise awareness of data quality. In these trainings, use gamification or serious gaming to initiate discussions between employees and leadership on data quality pain points for the business. These trainings could be facilitated by Learning & Development, or by Data Stewards.   * Plan for recurring in-person trainings, or instructor-led online trainings every 6 months to raise awareness of data quality. In these trainings, use gamification or serious gaming to initiate discussions between employees and leadership on data quality pain points for the business. These trainings could be facilitated by Learning & Development, or by Data Stewards.
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   * Evaluate the effectiveness of learning interventions for the business through Kirkpatrick Foundational Principles and using the Kirkpatrick levels of training evaluation. Evaluations can be used to improve/adapt trainings to the required competencies.   * Evaluate the effectiveness of learning interventions for the business through Kirkpatrick Foundational Principles and using the Kirkpatrick levels of training evaluation. Evaluations can be used to improve/adapt trainings to the required competencies.
   * Evaluate the effectiveness of learning interventions for the business by monitoring the data quality before and after every learning intervention, for example by monitoring data quality indicators in a dashboard.   * Evaluate the effectiveness of learning interventions for the business by monitoring the data quality before and after every learning intervention, for example by monitoring data quality indicators in a dashboard.
-  * Show the Data Quality scores in relation to meeting regulatory compliance, certification, safety levels, number of casualties reported, up-time of assets, etc. using a dashboard that is accessible to everyone. +  * Show the [[data_quality_general/data_quality|data quality]] scores in relation to meeting regulatory compliance, certification, safety levels, number of casualties reported, up-time of assets, etc. using a dashboard that is accessible to everyone. 
-  * Reactive improvement of Data Quality versus pro-active improvement depends on a costbenefit analysis to mitigate risks. What are the risks for reputational damage, business continuity, safety, environmental impact, etc, if scheduling data quality improvement activities are postponed, performed at fixed time intervals only, or on the basis of predictions?+  * Reactive improvement of [[data_quality_general/data_quality|data quality]] versus pro-active improvement depends on a costbenefit analysis to mitigate risks. What are the risks for reputational damage, business continuity, safety, environmental impact, etc, if scheduling data quality improvement activities are postponed, performed at fixed time intervals only, or on the basis of predictions?
   * Consider data as an ‘asset’, similarly to ‘asset management’, may follow the ‘As Low As Reasonably Practicable’ (ALARP) risk mitigation framework.   * Consider data as an ‘asset’, similarly to ‘asset management’, may follow the ‘As Low As Reasonably Practicable’ (ALARP) risk mitigation framework.
   * Consider developing, documenting, monitoring and enforcing Service Level Agreements (SLAs) for data as an asset. SLAs would be for example: availability of the data, timeliness of the data, integrity of the data as part of performing a data migration, etc.   * Consider developing, documenting, monitoring and enforcing Service Level Agreements (SLAs) for data as an asset. SLAs would be for example: availability of the data, timeliness of the data, integrity of the data as part of performing a data migration, etc.
   * Awareness of Data Quality is a ‘must’ for ethical Artificial Intelligence. Data for, and from machine learning models, should be evaluated along dimensions such as Fairness, Accountability, Confidentiality and Transparency (FACT).   * Awareness of Data Quality is a ‘must’ for ethical Artificial Intelligence. Data for, and from machine learning models, should be evaluated along dimensions such as Fairness, Accountability, Confidentiality and Transparency (FACT).
  
-=== Characteristics and requirements ===+=== Characteristics ===
  
 | **Characteristic** | **Requirement** | | **Characteristic** | **Requirement** |
-| Effectiveness of Awareness of Data Quality | Leadership and staff understand the consequences of inadequate data quality of the organisation. Their understanding meets the required proficiency level for awareness. Leadership and staff attained the required proficiency level, which results in data of adequate quality. |+| Effectiveness of awareness of data quality | Leadership and staff understand the consequences of inadequate data quality of the organisation. Their understanding meets the required proficiency level for awareness. Leadership and staff attained the required proficiency level, which results in data of adequate quality. |
 | Cost-effectiveness of awareness of data quality | Awareness of data quality leads to a positive business case, i.e., the benefits are higher than the costs. | | Cost-effectiveness of awareness of data quality | Awareness of data quality leads to a positive business case, i.e., the benefits are higher than the costs. |
  
 === Relations === === Relations ===
- +|Awareness of data quality|is an element of a |[[data_quality_general/data_quality_management_system|data quality management system]]| 
-  * **Awareness of Data Quality** is guided by **Leadership**. +|Awareness of data quality|is guided by|[[data_quality_management_system/leadership|leadership]]| 
-  * **Awareness of Data Quality** is improved by **Communication about Data Quality**. +|Awareness of data quality| is improved by |[[data_quality_management_system/data_quality_communication|communication about data quality]]| 
-  * **Awareness of Data Quality** is improved by **Internal Audit**. +|Awareness of data quality| is improved by |[[data_quality_management_system/internal_audit|internal audit]]| 
-  * **Awareness of Data Quality** is guided by [[data_quality_management_system:data quality objective|data quality objectives]]. +|Awareness of data quality| is guided by |[[data_quality_management_system:data quality objective|data quality objectives]]| 
-  * **Awareness of Data Quality** evaluates **Staff competence**. +|Awareness of data quality| evaluates| [[data_quality_management_system/competence_of_staff|staff competence]]| 
-  * **Awareness of Data Quality** guides [[Data Quality Policy|data quality policy]]. +|Awareness of data quality| guides a |[[Data Quality Policy|data quality policy]]| 
-  * **Awareness of Data Quality** acknowledges [[data_quality_management_system/roles_and_responsibilities|roles & responsibilities]]. +|Awareness of data quality| acknowledges| [[data_quality_management_system/roles_and_responsibilities|roles & responsibilities]]| 
-  * **Awareness of Data Quality** applies **Risk Analysis**.+|Awareness of data quality|applies| [[data_quality_management_system/data_quality_risk_analysis|risk analysis]]|
  
 {{:data_management:data_quality:data_quality_awareness-relationship.jpg?600|}} {{:data_management:data_quality:data_quality_awareness-relationship.jpg?600|}}
  
 Figure 1: Relationships of Awareness of Data Quality with other concepts. Figure 1: Relationships of Awareness of Data Quality with other concepts.
 +
 === Stories === === Stories ===
  
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 [[https://kloudlearn.medium.com/overview-of-the-kirkpatrick-model-and-foundational-principles-1d9a349a9ae3|Overview of the Kirkpatrick Model and foundational principles]], April 2020. [[https://kloudlearn.medium.com/overview-of-the-kirkpatrick-model-and-foundational-principles-1d9a349a9ae3|Overview of the Kirkpatrick Model and foundational principles]], April 2020.
  
 +{{tag>All DQMS}}
  
data_quality_management_system/awareness_of_data_quality.1677432055.txt.gz · Last modified: 2024/03/08 13:33 (external edit)

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