People

Clearly defines and publicises ownership, roles, responsibilities, accountabilities, ensure this is shared.
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Definition:

Understanding roles and responsibilities, and the part people play, is a crucial aspect of effective data governance. Data governance is not solely a technical endeavour, it requires the collaboration and participation of various individuals across an organization to ensure that data is managed, utilized, and protected in alignment with business objectives, regulatory requirements, and industry standards.
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Often the weak link in business workflows are team or individuals miss-understanding of what is expected of them during that process. It is key that firstly the appropriate roles are defined to govern this process. These roles are then supported by clear definitions of the responsibilities and accountabilities which are agreed and published.

Defining roles and responsibilities in data governance is of paramount importance for several reasons:

Clarity and Accountability: Clearly defined roles and responsibilities eliminate ambiguity about who is responsible for specific data/process-related tasks. This ensures that individuals understand their roles and are held accountable for their duties, leading to more efficient and effective data governance.
Efficient Decision-Making: When roles are well-defined, decision-making becomes streamlined. Individuals know where to turn for specific data-related matters, reducing delays and ensuring that decisions are made by the appropriate parties.
Compliance and Risk Management: Regulatory compliance is a critical aspect of data governance. Clearly defined roles ensure that individuals responsible for compliance-related tasks understand their responsibilities and work to mitigate legal and regulatory risks.