[{"data":1,"prerenderedAt":482},["ShallowReactive",2],{"document-data-governance-policy-D13829":3},{"document":4,"label":23,"preview":11,"thumb":24,"thumb600":25,"description":5,"descriptionCustom":6,"apiDescription":5,"pages":8,"extension":10,"parents":26,"breadcrumb":30,"related":38,"customDescModule":170,"customdescription":6,"mdFm":171,"mdProseHtml":481},{"description":5,"descriptionCustom":6,"label":7,"pages":8,"size":9,"extension":10,"preview":11,"thumb":12,"svgFrame":13,"seoMetadata":14,"parents":16,"keywords":15},"DATA GOVERNANCE POLICY PURPOSE The purpose of this Data Governance Policy is to establish guidelines and procedures for the effective management, protection, and responsible use of data within [COMPANY NAME]. This Policy aims to ensure data quality, security, and compliance with relevant regulations while promoting data-driven decision-making. SCOPE This Policy applies to all employees, contractors, vendors, and authorized individuals who access, handle, or manage data on behalf of [COMPANY NAME]. It encompasses data of all types, including but not limited to customer data, employee data, financial data, and intellectual property. DATA OWNERSHIP Data ownership and responsibility will be assigned to designated data stewards or data custodians within the organization. Data owners are responsible for defining data classification, access controls, and data lifecycle management. DATA CLASSIFICATION Data will be classified based on sensitivity, criticality, and regulatory requirements. Data classification will determine access controls, retention periods, and protection measures. DATA ACCESS AND SECURITY Access to data will be granted on a need-to-know basis, with user permissions defined by data owners. Data security measures, including encryption, authentication, and authorization, will be implemented to protect data from unauthorized access and breaches. DATA QUALITY Data quality standards will be established to ensure accuracy, completeness, and reliability of data. Data validation and cleansing processes may be implemented to maintain data quality. DATA RETENTION Data will be retained in accordance with legal and regulatory requirements and defined retention policies.",null,"Data Governance Policy","3",513,"doc","https://templates.business-in-a-box.com/imgs/1000px/data-governance-policy-D13829.png","https://templates.business-in-a-box.com/imgs/250px/13829.png","https://templates.business-in-a-box.com/svgs/docviewerWebApp1.html?v6#13829.xml",{"title":15,"description":6},"data governance policy",[17,20],{"label":18,"url":19},"Human Resources","/templates/human-resources/",{"label":21,"url":22},"Company Policies","/templates/company-policies/","Data Governance Policy Template","https://templates.business-in-a-box.com/imgs/400px/13829.png","https://templates.business-in-a-box.com/imgs/600px/13829.png",[27,17,20],{"label":28,"url":29},"Templates","/templates/",[31,32,35],{"label":28,"url":29},{"label":33,"url":34},"Software & Technology","/templates/software-technology/",{"label":36,"url":37},"Data Governance","/templates/data-governance/",[39,43,47,51,55,59,63,67,71,75,79,83,87,101,114,127,140,152],{"label":40,"url":41,"thumb":42,"extension":10},"Data Governance Framework","/template/data-governance-framework-D13951","https://templates.business-in-a-box.com/imgs/250px/13951.png",{"label":44,"url":45,"thumb":46,"extension":10},"Corporate Governance Policy","/template/corporate-governance-policy-D13943","https://templates.business-in-a-box.com/imgs/250px/13943.png",{"label":48,"url":49,"thumb":50,"extension":10},"IT Governance and Compliance Policy","/template/it-governance-and-compliance-policy-D13721","https://templates.business-in-a-box.com/imgs/250px/13721.png",{"label":52,"url":53,"thumb":54,"extension":10},"Data Classification Policy","/template/data-classification-policy-D13828","https://templates.business-in-a-box.com/imgs/250px/13828.png",{"label":56,"url":57,"thumb":58,"extension":10},"Data Management Policy","/template/data-management-policy-D13953","https://templates.business-in-a-box.com/imgs/250px/13953.png",{"label":60,"url":61,"thumb":62,"extension":10},"Data Privacy Policy","/template/data-privacy-policy-D13465","https://templates.business-in-a-box.com/imgs/250px/13465.png",{"label":64,"url":65,"thumb":66,"extension":10},"Data Security Policy","/template/data-security-policy-D12735","https://templates.business-in-a-box.com/imgs/250px/12735.png",{"label":68,"url":69,"thumb":70,"extension":10},"Data Retention Policy","/template/data-retention-policy-D13955","https://templates.business-in-a-box.com/imgs/250px/13955.png",{"label":72,"url":73,"thumb":74,"extension":10},"Customer Data Protection Policy","/template/customer-data-protection-policy-D13645","https://templates.business-in-a-box.com/imgs/250px/13645.png",{"label":76,"url":77,"thumb":78,"extension":10},"Data Loss Prevention Policy","/template/data-loss-prevention-policy-D13651","https://templates.business-in-a-box.com/imgs/250px/13651.png",{"label":80,"url":81,"thumb":82,"extension":10},"Data Retention And Destruction Policy","/template/data-retention-and-destruction-policy-D12634","https://templates.business-in-a-box.com/imgs/250px/12634.png",{"label":84,"url":85,"thumb":86,"extension":10},"Data Protection and Privacy Policy","/template/data-protection-and-privacy-policy-D13653","https://templates.business-in-a-box.com/imgs/250px/13653.png",{"description":88,"descriptionCustom":6,"label":89,"pages":8,"size":9,"extension":10,"preview":90,"thumb":91,"svgFrame":92,"seoMetadata":93,"parents":95,"keywords":94,"url":100},"INFORMATION SECURITY POLICY PURPOSE The purpose of this Information Security Policy is to establish guidelines and procedures for safeguarding [COMPANY NAME]'s sensitive information, data, and resources. This Policy aims to ensure the confidentiality, integrity, and availability of information assets and protect against unauthorized access, use, disclosure, and breaches. SCOPE This Policy applies to all employees, contractors, vendors, and third-party entities who access, handle, or manage [COMPANY NAME]'s information systems, networks, applications, and data. INFORMATION CLASSIFICATION Data Classification: Information assets will be classified based on their sensitivity and criticality into categories such as \"Confidential,\" \"Internal Use Only,\" and \"Public.\" Handling Procedures: Different handling procedures and security controls will apply to each classification level. ACCESS CONTROL User Authentication: Access to systems and data will require strong authentication methods, including passwords, biometrics, and multi-factor authentication (MFA). Least Privilege: Users will be granted access privileges based on the principle of least privilege, meaning they will have access only to the information and systems necessary to perform their roles. DATA PROTECTION Encryption: Sensitive data in transit and at rest will be encrypted using strong encryption algorithms. Data Loss Prevention (DLP): DLP measures will be implemented to prevent the unauthorized transmission or sharing of sensitive data outside the organization. Data Retention: Data will be retained in compliance with legal and regulatory requirements. SECURITY AWARENESS ","Information Security Policy","https://templates.business-in-a-box.com/imgs/1000px/information-security-policy-D13552.png","https://templates.business-in-a-box.com/imgs/250px/13552.png","https://templates.business-in-a-box.com/svgs/docviewerWebApp1.html?v6#13552.xml",{"title":94,"description":6},"information security policy",[96,98],{"label":18,"url":97},"human-resources",{"label":21,"url":99},"company-policies","/template/information-security-policy-D13552",{"description":102,"descriptionCustom":6,"label":103,"pages":104,"size":9,"extension":10,"preview":105,"thumb":106,"svgFrame":107,"seoMetadata":108,"parents":110,"keywords":109,"url":113},"ACCEPTABLE USE POLICY OVERVIEW This Acceptable Use Policy governs the use and security of all information and computer equipment from [COMPANY NAME]. It also covers the use of email, the internet, voice and mobile computing equipment. This policy applies to all information, in any form, relating to the business activities of [COMPANY NAME] worldwide, and to all information processed by [COMPANY NAME] about other organizations with which it deals. This policy also covers all IT and information communication facilities operated by or on behalf of [COMPANY NAME]. Internet/Intranet/Extranet-related systems, including but not limited to computer equipment, software, operating systems, storage media, network accounts providing electronic mail, WWW browsing, and FTP, are the property of [COMPANY NAME]. These systems are to be used for business purposes in serving the interests of the company, and of our clients and customers in the course of normal operations. [COMPANY NAME] is committed to protecting his employees, partners and the company from illegal or damaging actions by individuals, either knowingly or unknowingly. It is the responsibility of every [COMPANY NAME] computer user to know these guidelines, and to conduct their activities accordingly. PURPOSE The purpose of this policy is to outline the acceptable use of computer equipment at [COMPANY NAME]. These rules are in place to protect the employee and [COMPANY NAME]. Inappropriate use exposes [COMPANY NAME] to risks including virus attacks, compromise of network systems and services, and legal issues. SCOPE This policy applies to employees, contractors, consultants, temporary workers and other workers of [COMPANY NAME], including all personnel affiliated with third parties. This policy applies to all equipment owned or leased by [COMPANY NAME]. It also applies to the use of information, electronic and computer equipment and network resources to conduct business activities or interact with internal networks and business systems, whether owned or leased by [COMPANY NAME], the employee or a third party. All employees, contractors, consultants, temps and other workers of [COMPANY NAME] and its subsidiaries are responsible for exercising judgment with respect to the appropriate use of information, electronic devices and network resources in accordance with [COMPANY NAME] policies and standards and local laws and regulations. INDIVIDUAL'S RESPONSIBILITY Access to the [COMPANY NAME] IT systems is controlled by the use of User IDs, passwords and/or tokens. All User IDs and passwords are to be uniquely assigned to named individuals and consequently, individuals are accountable for all actions on the [COMPANY NAME] IT systems. Individuals must not: Allow anyone else to use their user ID/token and password on any [COMPANY NAME] IT system. Leave their user accounts logged in at an unattended and unlocked computer. Use someone else's user ID and password to access [COMPANY NAME]'s IT systems. Leave their password unprotected (for example writing it down). Perform any unauthorised changes to [COMPANY NAME]'s IT systems or information. Attempt to access data that they are not authorised to use or access. Exceed the limits of their authorisation or specific business need to interrogate the system or data. Connect any non-([COMPANY NAME] authorised device to the [COMPANY NAME] network or IT systems. Store [COMPANY NAME] data on any non-authorized [COMPANY NAME] equipment. Give or transfer [COMPANY NAME] data or software to any person or organisation. outside [COMPANY NAME] without the authority of [COMPANY NAME]. Line managers must ensure that individuals receive clear directives on the extent and limits of their authority over computer systems and data. INTERNET AND EMAIL The use of the internet and email of [COMPANY NAME] is intended for professional purposes. Personal use is permitted when it does not affect the individual's professional performance, does not in any way harm [COMPANY NAME], does not violate any terms and conditions of employment and does not place the individual or [COMPANY NAME] in violation of legal or other obligations. All individuals are therefore responsible for their actions on the internet as well as when using email systems. Individuals must not: Use the internet or email for harassment or abuse. Use blasphemies, obscenities or disrespectful remarks in communications. Access, upload, send or receive data (including images) that [COMPANY NAME] considers offensive in any way, including sexually explicit, discriminatory, defamatory or libelous material. Use the internet or email to make personal gains or run a personal business. Use the internet or email to play. Use email systems in a way that could affect their reliability or efficiency, for example by distributing chain letters or spam. Place on the internet any information relating to [COMPANY NAME], modify any information concerning it or express any opinion on [COMPANY NAME], unless they are expressly authorized to do so. Send sensitive or confidential information that is not protected to the outside world. Use of unsolicited email originating from within [COMPANY NAME] 's networks of other Internet/Intranet/Extranet service providers on behalf of, or to advertise, any service hosted by [COMPANY NAME] or connected via 's network. Forward business email to personal email accounts (for example, Gmail account). Make official commitments by internet or email on behalf of [COMPANY NAME], unless authorized to do so. Download copyrighted material such as music media files (MP3), films and videos (non-exhaustive list) without appropriate approval. In any way, violate copyright, database rights, trademarks or other intellectual property rights. Download any software from the internet without the prior consent of the IT department. Connect [COMPANY NAME] devices to the internet using non-standard connections. GENERAL USE OWNERSHIP [COMPANY NAME] proprietary information stored on electronic and computing devices whether owned or leased by [COMPANY NAME], remains the sole property of [COMPANY NAME]. You must ensure through legal or technical means that proprietary information is protected in accordance with the data protection standards. You have a responsibility to promptly report the theft, loss or unauthorized disclosure of [COMPANY NAME] proprietary information. You may access, use or share [COMPANY NAME] proprietary information only to the extent it is authorized and necessary to perform the tasks assigned to you. ","Acceptable Use Policy","7","https://templates.business-in-a-box.com/imgs/1000px/acceptable-use-policy-D12622.png","https://templates.business-in-a-box.com/imgs/250px/12622.png","https://templates.business-in-a-box.com/svgs/docviewerWebApp1.html?v6#12622.xml",{"title":109,"description":6},"acceptable use policy",[111,112],{"label":18,"url":97},{"label":21,"url":99},"/template/acceptable-use-policy-D12622",{"description":115,"descriptionCustom":6,"label":116,"pages":8,"size":9,"extension":10,"preview":117,"thumb":118,"svgFrame":119,"seoMetadata":120,"parents":122,"keywords":125,"url":126},"RECORDS MANAGEMENT & RETENTION POLICY INTRODUCTION The Records Management and Retention Policy of [COMPANY NAME] outlines our commitment to the organized, secure, and compliant management of company records. This Policy is designed to ensure that records are created, maintained, and disposed of in a manner that aligns with legal and regulatory requirements, preserves vital information, and optimizes storage and retrieval efficiency. PURPOSE The purpose of this Policy is to: Establish guidelines for the creation, organization, and maintenance of company records. Ensure compliance with legal, regulatory, and industry-specific requirements for records retention and disposal. Promote the efficient use of resources, including physical and digital storage space. DEFINITIONS Records: Any information, regardless of format, that is created, received, maintained, or used by [COMPANY NAME] during the course of its business activities and is recognized as having value for legal, operational, historical, or informational purposes. RECORDS MANAGEMENT GUIDELINES Record Creation and Maintenance Records should be created, captured, and maintained in accordance with established procedures and guidelines. Records must be accurate, complete, and accessible for authorized personnel. Record Classification Records should be categorized and classified based on their content, purpose, and retention requirements. Differentiate between temporary and permanent records and assign appropriate retention periods. Access Controls Access to records should be restricted to authorized personnel to maintain confidentiality and integrity.","Records Management and Retention Policy","https://templates.business-in-a-box.com/imgs/1000px/records-management-and-retention-policy-D13761.png","https://templates.business-in-a-box.com/imgs/250px/13761.png","https://templates.business-in-a-box.com/svgs/docviewerWebApp1.html?v6#13761.xml",{"title":121,"description":6},"records management and retention policy",[123,124],{"label":18,"url":97},{"label":21,"url":99},"records management policy","/template/records-management-policy-D13761",{"description":128,"descriptionCustom":6,"label":129,"pages":8,"size":9,"extension":10,"preview":130,"thumb":131,"svgFrame":132,"seoMetadata":133,"parents":135,"keywords":138,"url":139},"DATA BREACH RESPONSE & NOTIFICATION POLICY INTRODUCTION The Data Breach Response and Notification Policy of [COMPANY NAME] outlines the procedures and responsibilities for responding to data breaches and ensuring that affected individuals and regulatory authorities are promptly and accurately informed. This Policy is designed to minimize the impact of data breaches, protect sensitive information, and comply with applicable data protection laws and regulations. PURPOSE The purpose of this Policy is to: Establish a framework for detecting, assessing, and responding to data breaches. Define the process for notifying affected individuals, regulatory authorities, and other relevant parties. Ensure that data breaches are managed in a transparent, responsible, and compliant manner. DEFINITIONS Data Breach: The unauthorized access, acquisition, use, disclosure, or destruction of personal or sensitive information that compromises its security, confidentiality, or integrity. DATA BREACH RESPONSE TEAM [COMPANY NAME] will establish a Data Breach Response Team (DBRT) consisting of designated individuals responsible for managing data breaches. The DBRT may include representatives from IT, Legal, HR, and other relevant departments. DETECTION AND ASSESSMENT The DBRT will promptly investigate and assess suspected or confirmed data breaches to determine their scope, impact, and severity. The assessment will include identifying the type of data involved, the number of affected individuals, potential risks, and applicable data protection regulations. CONTAINMENT AND MITIGATION ","Data Breach Response and Notification Policy","https://templates.business-in-a-box.com/imgs/1000px/data-breach-response-and-notification-policy-D13650.png","https://templates.business-in-a-box.com/imgs/250px/13650.png","https://templates.business-in-a-box.com/svgs/docviewerWebApp1.html?v6#13650.xml",{"title":134,"description":6},"data breach response and notification policy",[136,137],{"label":18,"url":97},{"label":21,"url":99},"data breach response notification policy","/template/data-breach-response-and-notification-policy-D13650",{"description":141,"descriptionCustom":6,"label":142,"pages":8,"size":9,"extension":10,"preview":143,"thumb":144,"svgFrame":145,"seoMetadata":146,"parents":148,"keywords":147,"url":151},"IT SECURITY POLICY PURPOSE The purpose of this IT Security Policy is to provide comprehensive guidance on safeguarding [COMPANY NAME]'s information technology resources and data against unauthorized access, disclosure, alteration, or destruction. By adhering to this Policy, [COMPANY NAME] aims to minimize security risks, protect sensitive information, maintain operational continuity, and comply with regulatory requirements in the field of IT security. SCOPE This Policy applies to all employees, contractors, vendors, and authorized users who access, utilize, or oversee IT systems, data, and assets within [COMPANY NAME]. It encompasses all aspects of IT security within the organization, including but not limited to: Employee workstations and laptops Servers and data centers Network infrastructure Mobile devices Cloud-based systems Application software Data storage devices and media Electronic communication systems (email, messaging) Security controls and mechanisms POLICY STATEMENTS Information Classification and Handling Information Classification: To ensure appropriate protection, [COMPANY NAME] shall classify all information assets based on their sensitivity and criticality. Classification levels (e.g., public, internal use, confidential) will be defined in the Information Classification and Handling Policy. Handling Procedures: Employees and authorized users must strictly adhere to information handling procedures, including encryption, access controls, and secure disposal, as specified in the Information Classification and Handling Policy. Access Control Authentication Mechanisms: Access to IT systems and data will be controlled through strong authentication mechanisms, including but not limited to passwords, biometrics, and multi-factor authentication (MFA). Least Privilege: Access privileges will be assigned based on the principle of least privilege (PoLP). Users will only have access to the resources necessary to perform their job responsibilities. Access Reviews: [COMPANY NAME] will conduct regular access reviews and audits to ensure adherence to access control policies and to promptly revoke access for employees and users who no longer require it. Data Protection Data Encryption: Sensitive data, both in transit and at rest, must be protected through encryption. Encryption will be applied during data transmission over networks and when storing data on electronic media. Backup and Recovery: Robust backup and disaster recovery procedures will be established and regularly tested to ensure data availability in case of system failures, data corruption, or data breaches. Malware Protection","IT Security Policy","https://templates.business-in-a-box.com/imgs/1000px/it-security-policy-D13722.png","https://templates.business-in-a-box.com/imgs/250px/13722.png","https://templates.business-in-a-box.com/svgs/docviewerWebApp1.html?v6#13722.xml",{"title":147,"description":6},"it security policy",[149,150],{"label":18,"url":97},{"label":21,"url":99},"/template/it-security-policy-D13722",{"description":153,"descriptionCustom":6,"label":154,"pages":155,"size":9,"extension":10,"preview":156,"thumb":157,"svgFrame":158,"seoMetadata":159,"parents":161,"keywords":160,"url":169},"EMPLOYEE NON-DISCLOSURE AGREEMENT This Employee Non-Disclosure Agreement (the \"Agreement\") is made and effective this [Date], BETWEEN: [EMPLOYEE NAME] (the \"Employee\"), an individual with his main address at: [COMPLETE ADDRESS] AND: [YOUR COMPANY NAME] (the \"Company\"), a corporation organized and existing under the laws of the [State/Province] of [STATE/PROVINCE], with its head office located at: [YOUR COMPLETE ADDRESS] In consideration of employment by Company and disclosure by Company of confidential and trade secret information, the undersigned Employee hereby covenants and agrees as follows: Confidentiality Employee acknowledges that during Employee's employment by Company, Employee will be exposed to valuable confidential and trade secret information of Company. Employee agrees to treat all such information as confidential and to take all necessary precautions against disclosure of such information to third parties during and after the term of this Agreement. Employee acknowledges that trade secrets of the Company will consist of but will not be necessarily limited to: Technical information: Methods, processes, formulae, compositions, systems, techniques, inventions, machines, computer programs and research projects. Business information: Customer lists, pricing data, sources of supply, financial data and marketing, production, or merchandising systems or plans. Employee understands that this Agreement does not and will not prevent him/her from working for any other Company subsequent to the termination of his/her employment with the Company as long as the Employee does not use or disclose any such confidential and proprietary information. Use Employee shall not use Company's confidential and trade secret information, except to the extent necessary to provide services or goods requested by Company. Enforcement","Employee Non Disclosure Agreement","2","https://templates.business-in-a-box.com/imgs/1000px/employee-non-disclosure-agreement-D538.png","https://templates.business-in-a-box.com/imgs/250px/538.png","https://templates.business-in-a-box.com/svgs/docviewerWebApp1.html?v6#538.xml",{"title":160,"description":6},"employee non disclosure agreement",[162,163,166],{"label":18,"url":97},{"label":164,"url":165},"Hire an Employee","hire-employee",{"label":167,"url":168},"Legal Agreements","business-legal-agreements","/template/employee-non-disclosure-agreement-D538",false,{"seo":172,"reviewer":182,"legal_disclaimer":170,"quick_facts":186,"at_a_glance":188,"personas":192,"variants":217,"glossary":244,"sections":277,"how_to_fill":323,"common_mistakes":364,"faqs":389,"industries":414,"comparisons":431,"diy_vs_pro":447,"related_template_ids_curated":460,"schema":468,"classification":470},{"meta_title":173,"meta_description":174,"primary_keyword":175,"secondary_keywords":176},"Data Governance Policy Template (Free Word)","Free data governance policy template defining data ownership, quality standards, access controls, and compliance obligations. Used in 190+ countries. Free Word and PDF download.","data governance policy template",[15,177,178,179,180,181],"data governance policy word","data governance policy free download","enterprise data governance template","data governance policy example","data governance document template",{"name":183,"credential":184,"reviewed_date":185},"Bruno Goulet","CEO, Business in a Box","2026-05-02",{"difficulty":187,"legal_review_recommended":170,"signature_required":170},"advanced",{"what_it_is":189,"when_you_need_it":190,"whats_inside":191},"A Data Governance Policy is a formal operational document that establishes how an organization collects, stores, manages, and uses its data assets. This free Word download gives you a structured, editable template covering data ownership, quality standards, access controls, retention schedules, and compliance obligations — ready to export as PDF and distribute to staff, auditors, or regulators.\n","Use it when implementing or formalizing a data management program, preparing for a compliance audit (SOC 2, ISO 27001, HIPAA, or GDPR), onboarding a data team, or responding to an incident that exposed gaps in data handling practices. It is also required by many enterprise vendor contracts and regulatory frameworks before data can be shared or processed.\n","Purpose and scope, data classification tiers, roles and responsibilities (data owners, stewards, and custodians), data quality standards, access control rules, retention and disposal schedules, compliance and audit requirements, and a policy review cycle. Each section includes placeholder language you replace with your organization's specific rules and thresholds.\n",[193,197,201,205,209,213],{"title":194,"use_case":195,"icon_asset_id":196},"Chief data officers","Formalizing enterprise-wide data standards across business units","persona-cdo",{"title":198,"use_case":199,"icon_asset_id":200},"IT and security managers","Defining access control rules and data classification tiers","persona-it-manager",{"title":202,"use_case":203,"icon_asset_id":204},"Compliance and legal teams","Demonstrating regulatory compliance for GDPR, HIPAA, or SOC 2 audits","persona-compliance-officer",{"title":206,"use_case":207,"icon_asset_id":208},"Small business owners","Establishing baseline data handling rules before scaling operations","persona-small-business-owner",{"title":210,"use_case":211,"icon_asset_id":212},"Operations directors","Standardizing data processes across departments to reduce duplication and errors","persona-operations-director",{"title":214,"use_case":215,"icon_asset_id":216},"SaaS founders and startup CTOs","Meeting enterprise customer contract requirements for data governance documentation","persona-startup-founder",[218,222,226,230,233,236,240],{"situation":219,"recommended_template":220,"slug":221},"Establishing data governance for a regulated industry (healthcare, finance)","Data Governance Policy (Regulated Industry)","data-governance-policy-D13829",{"situation":223,"recommended_template":224,"slug":225},"Documenting how personal data is handled under GDPR or CCPA","Privacy Policy","data-privacy-policy-D13465",{"situation":227,"recommended_template":228,"slug":229},"Defining rules for sharing data with third-party vendors","Data Processing Agreement","data-processing-agreement-D13954",{"situation":231,"recommended_template":89,"slug":232},"Securing sensitive data with encryption and access standards","information-security-policy-D13552",{"situation":234,"recommended_template":103,"slug":235},"Setting employee-level rules for handling company data","acceptable-use-policy-D12622",{"situation":237,"recommended_template":238,"slug":239},"Responding formally to a data breach or incident","Data Breach Response Plan","data-breach-response-and-notification-policy-D13650",{"situation":241,"recommended_template":242,"slug":243},"Managing records lifecycle from creation to destruction","Records Retention Policy","records-management-policy-D13761",[245,247,250,253,256,259,262,265,268,271,274],{"term":36,"definition":246},"The set of policies, processes, roles, and standards that define how an organization manages its data assets to ensure quality, security, and compliance.",{"term":248,"definition":249},"Data Owner","A senior individual — typically a department head or executive — accountable for the accuracy, access, and appropriate use of a defined data domain.",{"term":251,"definition":252},"Data Steward","An operational role responsible for day-to-day data quality, metadata management, and compliance with governance rules within a specific domain.",{"term":254,"definition":255},"Data Custodian","The technical role — typically IT or a database administrator — responsible for the physical storage, security, and backup of data systems.",{"term":257,"definition":258},"Data Classification","A tiered labeling system that categorizes data by sensitivity level — such as Public, Internal, Confidential, and Restricted — to determine handling and access requirements.",{"term":260,"definition":261},"Metadata","Data that describes other data — including its origin, format, owner, date created, and update history — used to make datasets discoverable and understandable.",{"term":263,"definition":264},"Data Lineage","A documented map of where data originates, how it moves through systems, how it is transformed, and where it is consumed.",{"term":266,"definition":267},"Data Quality","The degree to which data is accurate, complete, consistent, timely, and fit for its intended use.",{"term":269,"definition":270},"Retention Schedule","A policy table specifying how long each category of data must be kept and the approved method for disposing of it after the retention period expires.",{"term":272,"definition":273},"Data Stewardship Council","A cross-functional committee of data owners and stewards that meets regularly to oversee governance implementation, resolve disputes, and approve policy changes.",{"term":275,"definition":276},"Master Data Management (MDM)","A discipline for creating a single, authoritative source of record for core business entities — such as customers, products, or employees — across all systems.",[278,283,288,293,298,303,308,313,318],{"name":279,"plain_english":280,"sample_language":281,"common_mistake":282},"Purpose and scope","States why the policy exists, which data assets it covers, and which employees, systems, and third parties must comply.","This Data Governance Policy establishes the standards and responsibilities governing the management of [COMPANY NAME]'s data assets. It applies to all employees, contractors, and third-party processors who collect, access, store, or use data on behalf of [COMPANY NAME].","Scoping the policy to 'all data' without distinguishing between systems — this makes the policy unenforceable because no team can own everything equally.",{"name":284,"plain_english":285,"sample_language":286,"common_mistake":287},"Data classification tiers","Defines the sensitivity levels used to categorize all data, with examples of data that fall into each tier and the baseline handling rules for each.","Data is classified into four tiers: Public (no restrictions), Internal (employee access only), Confidential (role-based access, encryption in transit), and Restricted (least-privilege access, encryption at rest and in transit, audit logging required). Examples of Restricted data include [PII TYPES], [FINANCIAL RECORDS], and [REGULATED DATA].","Creating five or more classification tiers — teams stop using the system because the distinctions become too subtle to apply consistently in daily work.",{"name":289,"plain_english":290,"sample_language":291,"common_mistake":292},"Roles and responsibilities","Defines the three-tier accountability model — data owners, data stewards, and data custodians — with specific duties and named organizational positions for each.","Data Owner: [DEPARTMENT HEAD TITLE] is accountable for approving access requests and ensuring data quality within [DATA DOMAIN]. Data Steward: [ROLE TITLE] maintains metadata, monitors quality metrics, and flags anomalies. Data Custodian: [IT ROLE TITLE] manages physical storage, backup, and access provisioning.","Assigning data ownership to IT by default — IT can be the custodian, but ownership must rest with the business unit that creates and uses the data.",{"name":294,"plain_english":295,"sample_language":296,"common_mistake":297},"Data quality standards","Sets measurable thresholds for accuracy, completeness, consistency, and timeliness, and defines the process for reporting and resolving quality issues.","Customer records must be at least [X]% complete at the point of entry. Duplicate records must not exceed [X]% of the total dataset. Quality issues must be reported to the relevant Data Steward within [X] business days of discovery and resolved within [X] business days.","Writing qualitative standards ('data must be accurate and complete') with no numeric thresholds — without measurable targets, there is no basis for accountability.",{"name":299,"plain_english":300,"sample_language":301,"common_mistake":302},"Data access controls","Defines who can access which data tiers, the process for requesting and approving access, and rules for privileged and third-party access.","Access to Confidential and Restricted data requires written approval from the relevant Data Owner and is provisioned by [IT ROLE TITLE] within [X] business days. Privileged access is reviewed every [X] months. Third-party access requires a signed Data Processing Agreement before provisioning.","Granting access based on seniority rather than least-privilege principles — senior employees often accumulate broad access over time that far exceeds their current role requirements.",{"name":304,"plain_english":305,"sample_language":306,"common_mistake":307},"Data retention and disposal","Specifies how long each data category must be retained, which legal or regulatory minimums apply, and the approved disposal method when retention periods expire.","Customer transaction records are retained for [X] years from the date of transaction, in compliance with [APPLICABLE REGULATION]. Upon expiration, records are disposed of by [SECURE DELETION METHOD / PHYSICAL DESTRUCTION]. Disposal is documented in the Records Disposal Log maintained by [ROLE TITLE].","Setting a single retention period for all data types — financial records, HR files, and marketing data have different regulatory minimums that a blanket rule cannot satisfy.",{"name":309,"plain_english":310,"sample_language":311,"common_mistake":312},"Compliance and regulatory obligations","Maps the policy to applicable laws and standards (GDPR, HIPAA, CCPA, SOC 2, ISO 27001), identifies the compliance owner, and specifies the audit cadence.","This policy supports compliance with [APPLICABLE REGULATIONS / FRAMEWORKS]. The [COMPLIANCE ROLE TITLE] is responsible for monitoring regulatory changes, updating this policy accordingly, and coordinating the annual compliance audit. Evidence of compliance is retained for a minimum of [X] years.","Listing regulations without mapping specific policy sections to each requirement — auditors need to see which control satisfies which rule, not a list of laws the organization believes it follows.",{"name":314,"plain_english":315,"sample_language":316,"common_mistake":317},"Data breach and incident response","Defines what constitutes a data incident, the notification chain and timeline, and how the policy interacts with the organization's broader incident response plan.","A data incident is any unauthorized access, disclosure, or loss of Confidential or Restricted data. Incidents must be reported to [ROLE TITLE] within [X] hours of discovery. Incidents involving personal data are escalated to the [PRIVACY OFFICER / DPO] who determines regulatory notification obligations within [72 hours / X days].","Treating breach notification as solely an IT responsibility — regulatory notification decisions (e.g., GDPR's 72-hour requirement) require legal and executive involvement, not just the security team.",{"name":319,"plain_english":320,"sample_language":321,"common_mistake":322},"Policy review and update cycle","Sets the schedule for reviewing the policy, identifies who approves changes, and documents the version history and effective date.","This policy is reviewed annually by the Data Stewardship Council and approved by [EXECUTIVE TITLE]. Material changes are communicated to all in-scope personnel within [X] business days of approval. Version history is maintained in [DOCUMENT REPOSITORY / SYSTEM NAME]. Current version: [VERSION NUMBER]. Effective date: [DATE].","No stated review cycle — policies without a mandatory review date drift out of alignment with new regulations and technology changes, creating compliance gaps that are invisible until an audit.",[324,329,334,339,344,349,354,359],{"step":325,"title":326,"description":327,"tip":328},1,"Define scope and identify all data assets","List every system, database, and data stream your organization operates before writing a single policy rule. The scope section can only be accurate once you know what you are governing.","Run a data inventory workshop with IT, finance, HR, and operations before filling in this section — most organizations discover data assets they did not know existed.",{"step":330,"title":331,"description":332,"tip":333},2,"Set your data classification tiers","Choose three or four tiers (e.g., Public, Internal, Confidential, Restricted) and write two to three concrete examples for each tier from your own data environment.","Fewer tiers are better — three is workable, four is the practical maximum. More than four and employees start skipping the classification step entirely.",{"step":335,"title":336,"description":337,"tip":338},3,"Assign data owners by domain","For each major data domain (customer, financial, HR, product), identify the senior business leader who will serve as Data Owner. Document their name and title in the roles section.","Data owners must have budget and authority to enforce quality and access decisions — do not assign the role to someone without organizational standing to act on it.",{"step":340,"title":341,"description":342,"tip":343},4,"Set measurable data quality thresholds","Replace qualitative statements with specific metrics: completeness percentage, acceptable duplicate rate, and maximum time-to-resolution for quality issues.","Pull one month of current data quality metrics before setting thresholds — setting targets you are already missing by 50% demoralizes teams on day one.",{"step":345,"title":346,"description":347,"tip":348},5,"Document access control rules by tier","For each classification tier, specify who can approve access, how long provisioning takes, how often access is reviewed, and what happens when an employee changes roles or leaves.","Include an off-boarding trigger: access to Confidential and Restricted data must be revoked within 24 hours of an employee's last working day, not at the next quarterly review.",{"step":350,"title":351,"description":352,"tip":353},6,"Build the retention schedule table","Create a table mapping each data category to its retention period, the regulatory or business justification, and the approved disposal method. Reference specific law or regulation names, not generic phrases like 'applicable law.'","Cross-reference your retention periods against your jurisdiction's statutory minimums — for US federal contractors, NARA requirements may exceed your current defaults.",{"step":355,"title":356,"description":357,"tip":358},7,"Map policy sections to compliance frameworks","If your organization is pursuing SOC 2, ISO 27001, HIPAA, or GDPR compliance, add a mapping table in the appendix that references each policy section alongside the relevant control or article it satisfies.","Auditors spend roughly 60% of their time on mapping evidence — a pre-built cross-reference table can cut your audit preparation time by several days.",{"step":360,"title":361,"description":362,"tip":363},8,"Establish the review cycle and get executive sign-off","Set the annual review date, name the approving executive, and record the version number and effective date. Distribute the signed policy to all in-scope employees and store it in a centrally accessible repository.","Require employees to acknowledge receipt with a dated signature or digital confirmation — acknowledgment records are frequently requested during audits and litigation.",[365,369,373,377,381,385],{"mistake":366,"why_it_matters":367,"fix":368},"Assigning data ownership to IT by default","IT cannot be accountable for the accuracy and appropriate use of data they did not create and do not consume. Misassigned ownership leaves quality issues with no business-side accountability.","Assign data ownership to the department head of the business unit that generates and uses the data. IT retains the custodian role for storage and security.",{"mistake":370,"why_it_matters":371,"fix":372},"Qualitative quality standards with no numeric targets","A standard that says 'data must be accurate' gives teams nothing to measure against and no clear trigger for corrective action.","Set specific thresholds — for example, 'customer records must be at least 95% complete at entry' — so quality can be monitored and reported objectively.",{"mistake":374,"why_it_matters":375,"fix":376},"No stated policy review date","Regulations change, technology stacks evolve, and new data sources emerge. A policy without a mandatory review date drifts out of compliance silently.","Schedule an annual review by the Data Stewardship Council with a named executive approver, and build the review date into the policy header so it is visible on every copy.",{"mistake":378,"why_it_matters":379,"fix":380},"Treating breach notification as solely an IT decision","GDPR's 72-hour supervisory authority notification and HIPAA's breach notification rules require legal and executive judgment — IT alone does not have the authority or expertise to make those determinations.","Define a multi-role escalation path in the incident response section: IT detects and contains, legal assesses notification obligations, and the executive team approves any public or regulatory disclosure.",{"mistake":382,"why_it_matters":383,"fix":384},"Single retention period applied to all data types","Financial records, HR files, health data, and marketing data each carry different statutory retention minimums. A blanket rule either over-retains some data (creating privacy liability) or under-retains other data (creating compliance risk).","Build a retention schedule table with one row per data category, each with its own retention period and cited regulatory basis.",{"mistake":386,"why_it_matters":387,"fix":388},"No employee acknowledgment process","A policy that employees have never confirmed reading cannot be enforced in a disciplinary or legal proceeding — the organization cannot demonstrate the employee was aware of the rules.","Require a dated signature or digital acknowledgment from every in-scope employee at rollout and again after each material update. Store acknowledgment records in your HR or compliance system.",[390,393,396,399,402,405,408,411],{"question":391,"answer":392},"What is a data governance policy?","A data governance policy is a formal document that defines how an organization manages its data assets — covering ownership, classification, quality standards, access controls, retention schedules, and compliance obligations. It creates a consistent framework that all employees and systems must follow, replacing ad hoc data handling with documented, enforceable rules.\n",{"question":394,"answer":395},"Who is responsible for data governance in an organization?","Data governance is a shared responsibility across three roles. Data owners — typically department heads — are accountable for the accuracy and appropriate use of data within their domain. Data stewards handle day-to-day quality monitoring and metadata management. Data custodians, usually in IT, manage physical storage and security. A Data Stewardship Council with cross-functional membership typically oversees the program at the organizational level.\n",{"question":397,"answer":398},"Is a data governance policy required by law?","No single law universally mandates a data governance policy by name, but several regulations require the controls that a governance policy implements. GDPR requires documented data processing activities and accountability measures. HIPAA requires policies covering PHI access and handling. SOC 2 and ISO 27001 audits expect evidence of governance controls. In practice, any organization subject to data privacy or security regulation needs a governance policy to demonstrate compliance.\n",{"question":400,"answer":401},"What is the difference between a data governance policy and a privacy policy?","A privacy policy is an external-facing document that informs customers and users how their personal data is collected and used — it is a legal disclosure requirement under GDPR, CCPA, and similar laws. A data governance policy is an internal operational document that defines how employees manage all data assets, including but not limited to personal data. The two documents work together but serve different audiences and purposes.\n",{"question":403,"answer":404},"How often should a data governance policy be reviewed?","Annual review is the standard minimum, aligned to the organization's fiscal or calendar year. Additional out-of-cycle reviews are triggered by material regulatory changes (a new data privacy law, a change in HIPAA guidance), a significant data incident, a major technology migration, or a merger or acquisition that brings new data assets and obligations. The policy's effective date and version number should be updated after every review, even when no changes are made.\n",{"question":406,"answer":407},"What data classification tiers should we use?","Three to four tiers cover the needs of most organizations: Public, Internal, Confidential, and Restricted. Public data has no access restrictions. Internal data is available to all employees but not shared externally. Confidential data requires role-based access and encryption in transit. Restricted data — typically regulated personal data, financial records, or trade secrets — requires the highest controls including encryption at rest, audit logging, and least-privilege access. More than four tiers are difficult to apply consistently in practice.\n",{"question":409,"answer":410},"How does a data governance policy relate to an information security policy?","A data governance policy defines what data exists, who owns it, and the rules for its quality, access, and retention. An information security policy defines the technical and organizational controls that protect data from unauthorized access, loss, or breach. Governance determines the classification and ownership of data; security implements the controls that enforce those classifications. Both documents are needed, and they should cross-reference each other.\n",{"question":412,"answer":413},"Do small businesses need a data governance policy?","Any organization that stores customer data, employee records, or financial information — regardless of size — benefits from documented data governance. Small businesses that handle personal data are subject to GDPR or CCPA if they serve customers in covered jurisdictions. Enterprise customers and SaaS buyers increasingly require vendors to provide evidence of a data governance program before signing contracts. A simple, well-implemented policy provides both compliance coverage and a competitive advantage.\n",[415,419,423,427],{"industry":416,"icon_asset_id":417,"specifics":418},"Financial services","industry-fintech","Regulatory data lineage requirements under Basel III and BCBS 239 demand traceable data from source systems to regulatory reports, making formal ownership and quality standards essential.",{"industry":420,"icon_asset_id":421,"specifics":422},"Healthcare","industry-healthtech","PHI classification, minimum necessary access controls, and documented retention schedules are direct HIPAA compliance requirements that a data governance policy operationalizes.",{"industry":424,"icon_asset_id":425,"specifics":426},"SaaS / Technology","industry-saas","Enterprise customer contracts and SOC 2 Type II audits require documented data governance controls — without them, sales cycles stall at the security review stage.",{"industry":428,"icon_asset_id":429,"specifics":430},"Retail / E-commerce","industry-ecommerce","Customer PII collected across web, mobile, and in-store channels requires consistent classification and retention rules to comply with CCPA and international privacy laws.",[432,436,440,444],{"vs":433,"vs_template_id":434,"summary":435},"Information security policy","information-security-policy-D13826","An information security policy defines the technical and organizational controls that protect data from breaches and unauthorized access. A data governance policy defines who owns data, how it is classified, and what quality and retention standards apply. Security implements the controls; governance defines what is being protected and by what rules. Both are needed and should reference each other.",{"vs":437,"vs_template_id":438,"summary":439},"Privacy policy","privacy-policy-D424","A privacy policy is an external legal disclosure — published on your website — that tells users how you collect and use their personal data. A data governance policy is an internal operational document for employees and auditors. The privacy policy communicates commitments to the public; the governance policy defines the internal rules that fulfill those commitments.",{"vs":441,"vs_template_id":442,"summary":443},"Acceptable use policy","acceptable-use-policy-D13820","An acceptable use policy governs how employees may use company IT systems and data in their day-to-day work — covering permitted and prohibited behaviors at the individual level. A data governance policy operates at the organizational level, defining data ownership, quality standards, and retention frameworks. The acceptable use policy enforces governance rules at the employee level.",{"vs":445,"vs_template_id":243,"summary":446},"Records retention policy","A records retention policy is a narrow document focused specifically on how long different record types must be kept and how they must be disposed of. A data governance policy is broader, covering ownership, quality, access, compliance, and incident response in addition to retention. For organizations that need both, the governance policy typically incorporates or references the retention policy.",{"use_template":448,"template_plus_review":452,"custom_drafted":456},{"best_for":449,"cost":450,"time":451},"Small and mid-size businesses establishing baseline data governance for the first time","Free","4–8 hours to customize and distribute",{"best_for":453,"cost":454,"time":455},"Organizations preparing for SOC 2, ISO 27001, HIPAA, or GDPR audits who need controls mapped to specific framework requirements","$500–$2,000 for a compliance consultant or privacy attorney review","1–2 weeks",{"best_for":457,"cost":458,"time":459},"Regulated enterprises in financial services, healthcare, or critical infrastructure with multi-jurisdiction data obligations","$3,000–$15,000 for a specialized data governance consultant or law firm","4–12 weeks",[232,225,235,243,239,461,462,463,464,465,466,467],"it-security-policy-D13722","employee-non-disclosure-agreement-D538","non-disclosure-agreement-nda-D12692","vendor-agreement-D13292","risk-management-plan-D13391","business-continuity-plan-D12788","checklist-compliance-D13915",{"emit_how_to":469,"emit_defined_term":469},true,{"primary_folder":471,"secondary_folder":472,"document_type":473,"industry":474,"business_stage":475,"tags":476,"confidence":480},"software-technology","data-governance","policy","general","all-stages",[477,478,473,479,472],"data-protection","compliance","it",0.95,"\u003Ch2>What is a Data Governance Policy?\u003C/h2>\n\u003Cp>A \u003Cstrong>Data Governance Policy\u003C/strong> is a formal internal document that defines how an organization collects, classifies, stores, accesses, and retains its data assets — and who is accountable for each of those activities. It establishes a three-tier ownership model (data owners, stewards, and custodians), sets measurable quality standards, specifies access control rules by data classification tier, and maps the organization's data practices to applicable regulatory requirements such as GDPR, HIPAA, CCPA, and SOC 2. Unlike a privacy policy, which communicates data practices to the public, a data governance policy is an operational document for employees, auditors, and technology teams that translates data management principles into enforceable, day-to-day rules.\u003C/p>\n\u003Ch2>Why You Need This Document\u003C/h2>\n\u003Cp>Without a data governance policy, data ownership disputes between departments create quality problems that compound over time — customer records become duplicated, financial data becomes inconsistent across systems, and no single team is accountable for fixing any of it. When a regulatory audit or enterprise customer security review arrives, the absence of documented controls is itself a finding. GDPR and HIPAA do not require a document called a "data governance policy" by name, but they require the accountability structures, access controls, and retention rules that such a policy implements — and auditors expect to see them in writing. Data incidents and breaches that occur in organizations without governance frameworks cost significantly more to remediate because the scope of exposure is unknown until forensic work is complete. This template gives you a structured, professionally formatted starting point that covers every material governance control, so your first audit or enterprise sales review does not expose gaps you had no framework to even identify.\u003C/p>\n",1781185992581]