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- The meaning of CUSTODIAN is one that guards and protects or maintains; especially : one entrusted with guarding and keeping property or records or with custody or guardianship of prisoners or inmates.
www.merriam-webster.com/dictionary/custodian
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The meaning of CUSTODIAN is one that guards and protects or maintains; especially : one entrusted with guarding and keeping property or records or with custody or guardianship of prisoners or inmates. How to use custodian in a sentence.
CUSTODIAN definition: 1. a person with responsibility for protecting or taking care of something or keeping something in…. Learn more.
- Data Ownership Model: executive summary
- 1. What is data ownership and why does it matter?
- 2. Who is this model for?
- 3. What do we mean by data?
- 4. What are the government’s overarching objectives for data ownership?
- 5. What principles should be promoted through data ownership?
- 6. What are the roles and responsibilities?
- 6.1 Data Owner [footnote 2]
- 6.2 Data Steward
Data reuse within government is critical to more effective:
•policy development
•research
•digital services
•operations
The Central Digital and Data Office (CDDO) roadmap 2022 to 2025 committed to creating a Data Marketplace as a central place to understand how to access data across government in a legal, ethical and effective way.
1. Data ownership does not deal with ‘possession of data’, it is about formalising the roles of people responsible for the management of data throughout its lifecycle. It establishes accountability for data access and usage, solving issues, iterating and versioning access and ensuring compliance with legislation, regulations and applicable guidelines.
2. Data is often cited as one of the most valuable assets of an organisation. It is also a liability with significant risks if not guarded. Like any asset, data must be protected and managed to be fit for purpose, used lawfully and ethically. It should also provide maximum value to the organisation and government. Data ownership behaviours are critical to ensure:
•compliance with regulations, legislation, policies and standards
•governing data controls are defined and implemented to manage risk, secure data and ensure data is fit for its intended purpose
•that data assets serve their intended business purpose and broader potential value to government
•data integrity so that people using the data have confidence that it is a reliable and trustworthy base from which analysis and business decisions can be made
5. The importance and relevance of data ownership is not limited to data experts, but extends to all parts of government handling, producing, and using data. These include:
•senior leaders responsible for setting the strategy and direction for a government organisation or department, including those who do not have data-specific job titles
•people at all grades within government responsible for business processes, systems and services that involve data
•people responsible for risk management within public sector organisations
•data publishers and consumers who actively share data and plan to do so
6. The Data Ownership Model applies to UK government departments and arm’s length bodies. These include:
8. There are many different definitions of data. This model uses the definition provided within Chapter 1 of the National Data Strategy published by the government in September 2020:
“When we refer to data, we mean information about people, things and systems. While the legal definition of data covers paper and digital records, the focus of this strategy is on digital information”
9. An area of potential confusion is the blurred lines between data and information. Data is often thought of as the “raw material of information” and information as “data in context”. In reality, the two are intertwined and dependent on each other. Both data and information need to be managed effectively for value to be derived from it. The Data Ownership Model applies to the roles and accountabilities that specifically relate to data. In many organisations Information Asset Owners and Information Asset Managers are integral to their ownership model and the table at Annex A sets out how the roles relate to each other. Given the similarities between the roles of Data Owner and Information Asset Owner, some organisations may wish to combine them to clarify decision making. For further details on information assets and on the different information asset-related roles visit the specific guidance.
10. Each organisation will segment their data into logical groupings or data domains. Organisations will factor their business needs or areas of strategic interest when determining how they segment their data. This can be done in a number of different ways and there is no single right way to do this.
11. All central government departments and arm’s length bodies must:
•have an enterprise-level data ownership model and supporting guidance in place that recognises that:
•data ownership is the responsibility of the business and not the technology domain
•the responsibilities of ownership are not exclusive to a single person and require close collaboration across organisational levels, including the delegation of responsibilities from the senior owners
•ensure that enterprise-level ownership policies include monitoring and reporting arrangements as part of their organisation’s broader risk management practices (e.g. identify and counter any internal or external potential vulnerabilities and threats, which may be incorporated into the broader information asset risk management processes)
•ensure data assets are included in their organisation’s asset registers and considered in their organisation’s asset and knowledge asset management strategies
12. The data ownership model should ensure that:
1. data is recognised as a valuable resource - data is potentially of great value to organisations and the wider digital economy and should be assessed whenever possible to support investment decisions, encourage data sharing and the potential to realise wider commercial and societal value through protection and exploitation. Data is also a liability as there is a risk of theft, loss or misuse.
2. data is governed and managed throughout its lifecycle - data must be handled in line with policies, standards and legislation, which includes:
•The Data Protection Act 2018
•The Public Records Act 1958
•UK Government Licensing Framework[footnote 1]
13. Industry best practice sets out 3 roles within data governance. These roles are:
1.Data Owner - a senior individual responsible for a logical grouping of data (e.g. areas of interest for an organisation such as a business process of domains such as customers, benefits or a service)
2.Data Steward - business expert(s) managing data in day-to-day operations
3.Data Custodian - individual(s) responsible per application or group of applications
14. For enterprise-level models, it’s recommended the model include other executive leadership roles. These roles include (these roles may not be carried out by different people):
•Chief Data Officer
What is a Data Owner?
19. Senior individuals with dedicated ownership for a logical grouping of data, and in-depth insights of the overall business strategy in their data remit. The person with overall accountability for the meaning, content, quality and distribution of a given set of data. By liaising with a team of operational Data Stewards, they are empowered to steer and ensure the data is fit for its intended purpose.
Why do we need Data Owners?
20. Data Owners act as the strategic points of contact for the data within their remit. Using their knowledge of data applications, they influence the strategic direction of data, approve changes to data, support data governance practices in their area of responsibility, and allow organisations to make faster and more responsive decisions around data to achieve business outcomes.
What are Data Owners accountable for?
21. Data owners have accountability for: understanding how their data is being used, who by and where, data lineage and flow of data, and whether it is controlled properly working with local business requirements to define centralised data definitions for their subject areas providing guidance and directions to data stewards to ensure definitions are managed and adopted consistently strategic data decisions and approvals around business requirements and modifications to their data ensuring appropriate identification, protection and exploitation of data assets for wider governmental, societal and economic value, in collaboration with the organisation’s Knowledge Asset SRO where there is one[footnote 3] ensuring that agreed data definitions are maintained in the data catalogue through their data stewards ensuring that the quality of the data they are responsible for is known, considering all critical data users the management, monitoring and reporting of activities to improve their data through their data stewards ensuring security measures, in accordance with the organisation’s policies, are in place to protect data that is in transit, data received, or data transferred to another organisation ensuring an appropriate retention schedule is in place outlining storage periods for all data (particularly personal data), which is reviewed regularly ensuring their data assets comply with legal requirements for archival, disposal and preservation limiting access to data (particularly personal data or data of significance to national security) to those authorised to do so
What is a Data Steward?
23. Data Stewards are responsible for day-to-day operational activities needed to support the data governance decisions made by Data Owners in their data domain. They are responsible for the implementation of policies, standards, and processes.
Why do we need Data Stewards?
24. Having operational points of contact with data expertise ensures all data-related policies and the relevant strategic directions are fully embedded and that sustainable data governance processes are set up consistently across the organisation.
What are Data Stewards accountable for?
25. Data stewards have accountability for: handling data governance queries and checking with the Data Owner for tactical guidance where needed facilitating data governance processes, including: data access data archival data deletion facilitating data quality governance processes, such as: monitoring investigating communicating triaging remediating reporting reporting to the Data Owner and other forums on activities including: compliance issues fixes changes the curation, maintenance and implementation, of data standards and process documentation (e.g. business glossary) in the data catalogue creating processes, procedures and standards for their data domain that is aligned to any enterprise-level policy in place relationship management and understanding the data lineage/flow to understand impacts (upstream or downstream) of anything that may change communicating and contributing to the development, maintenance and implementation of agreed data standards and reporting measures working cross functionally with other data stewards sharing good practice and supporting resolution on cross cutting issues/risks working with Data Custodians to facilitate discussions around technical requirements and modifications related to data governance standards assist with periodic data maturity assessments
CUSTODIAN meaning: 1. a person with responsibility for protecting or taking care of something or keeping something in…. Learn more.
Aug 3, 2016 · Registers are reliable lists of information managed by one custodian from the government organisation responsible for maintaining the register’s data. The custodian works with the GOV.UK ...
The custodian of an office or a school is the person whose job is to take care of the building and the ground around it.
Definition of custodian noun in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
