C810 - Data Governance and Stewardship QUESTION AND ANSWER 100% CORRECT

C810 - Data Governance and Stewardship QUESTION AND ANSWER 100% CORRECTDG (Data governance) ________________ is concerned with governing the input (data). Is the enterprise authority that ensures control and accountability for enterprise data through the establishment of decision rights and data policies and standards that are implemented and monitored through a formal structure of assigned roles, responsibilities, and accountabilities. IG (information governance) _____________ is concerned with governing the output (information) of an information system. DIKW hierarchy (data, information, knowledge, and wisdom) In the __________________________ , data are facts. For example, blood pressure readings of 140/90, 150/95, 138/95 have no particular meaning other than they are recorded as fact. data When a fact is related to some other fact ____________, the relationship produces a piece of information. dependent on the previous levels Each level in the DIKW hierarchy is ________________________________. For instance, there can be no information without data. Likewise, there is no knowledge without information. Data Governance The following are examples of which governance? • Data models • Metadata management • Master data management • Content management • Data security management • Data quality management Information Governance The following are examples of which governance? • Release of information • Retention and disposal policies • Documentation requirements • Legal hold • Regulatory compliance • Records management • Ethical use of information • Intellectual property ownership DG includes ________ includes functions associated with data life cycle management, data modeling, metadata management, master data management, and data security, among others. IG Includes ________ includes policies and standards for governing how information is used, shared, and analyzed. These may include policies and standards that apply to information confidentiality, ethical use of information, record retention and disposal, and regulatory or legal compliance. output (information) IG is concerned with governing the _____________ of an information system Input (data) In DG, the ____________ into an information system is the governed asset. The form of data may include text, video, and images. Fall under Data Governance Policies about the maintenance of data models, development and maintenance of metadata schema, requirements for master and reference data, and processes for assessing and measuring data quality would fall under? Fall under Information Governance Policies on legal holds for records, amendments and deletion of clinical notes, ethical use of statistical data, and release of information would fall under? Governance _____________________ is defined as "the establishment of policies and the continual monitoring of their proper implementation for managing organization assets to enhance the prosperity and viability of the organization". purpose of governance The ____________________________ is to influence the behaviors of organization stakeholders toward the effective and efficient use of data to support the organization's strategy and meet its goals. Governance at the enterprise level ______________________ is visible in every aspect of an organization. Examples include; accounting and audit management, human resources management, financial reporting, record keeping and risk management. data life cycle A typical ____________ includes the following stages: • data planning • data inventory and evaluation • data capture • data transformation and processing • data access and distribution • data maintenance • data archival • data destruction Data architecture _____________________ is defined as "an integrated set of specification artifacts (models and diagrams) used to define data requirements, guide integration and control of data assets, and align data in-vestments with business strategy,". artifacts The __________________ developed through architecture data management, such as data models, use cases, data flow diagrams, and data dictionaries, are as important to data management as the blueprints prepared by an architect are to a building design and maintenance. Metadata ______________ are often referred to as "data about data." It is structured information used to increase the effective use of data. By describing data, it makes it easier to locate, retrieve, use, and manage. Metadata for access control and security purposes The metadata describes, who has access rights to create, review, update, and delete data are examples of which type of metadata? Metadata for the purposes of locating data A search engines use this type of metadata is an example of which type of metadata? metadata is used in computer audit trails When data were created or changed is an example of which type of metadata? Master data management _____________________________ refers to master data that an enterprise maintains about key business entities such as customers, employees, or patients, and to reference data that is used to classify other data or identify allowable values for data such as codes for state abbreviations or products. Content management ________________________ encompasses managing both structured data (for example, data stored in databases) and unstructured data (such as data contained in text documents). Structured data __________________ commonly refer to data that are organized and easily retrievable and interpreted by traditional databases and data models. Unstructured data ____________________ are data that do not have a predefined data model or are not stored in a traditional database structure. Unstructured data ____________________ are typically found in documents, e-mails, and images. Data security management ______________________________ includes policies and procedures that address confidentiality and security concerns of organizational stakeholders, protecting organizational proprietary interests, and compliance with government and regulatory requirements while accommodating legitimate access needs. Data security _______________ includes protection measures and tools for safeguarding data and information. Business intelligence (BI) _____________________________ is defined as "a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions,". transactional databases BI systems use structured data extracted from organizational __________________________ that are stored in data warehouses. Data quality management __________________________________ is characterized as "a continuous process for defining the parameters for specifying acceptable levels of data quality to meet business needs, and for ensuring that data quality meets these levels." purpose of data quality management The ___________________________________ is to ensure that data meet quality characteristics such as accuracy, completeness, accessibility, precision, relevance, and timeliness. Terminology and classification management _______________________________ consists of the processes for managing the breadth of healthcare terminologies, vocabularies, classification systems, and data sets that an organization may use and also serves as a terminology authority for the enterprise. strategic IM plan A ________________ is developed so that all information management efforts are aligned with the organization's strategic plan and ensure that information management goals and strategies support the organization's high-level initiatives. Strategic Objective IM infrastructure that advances quality patient care, efficient operations, competitive advantage and decision making, and ensures compliance with data regulations and mandates business case In developing a DG program, identifying the purpose and value of the program should be the first step. Sometimes this is referred to as the ______________ or value proposal. framework In the case of DG, a ______________ assists an organization in determining what constitutes the DG mission and scope, and DG responsibilities, authority, organizational structure, and governance processes. iterative process DG is an ______________________. It initially prioritizes initiatives and focuses on small select business imperatives that quickly deliver value and expand as the program matures. - rules and rules of engagement - people and organizational bodies - DG processes The DGI framework consists of three overarching parts each consisting of several components. The three major parts of the framework are: Rules of engagement _____________________ specify the way that policy makers, data owners, data stewards, and other stakeholders interact with each other. - policies - standards - controls - accountabilities. Rules are a set of principles and regulations; examples include: example mission statement To improve data search and retrieval and integration of transactional data for executive decision making. In this case the DG program scope may be narrowly focused on metadata management and developing a business intelligence infrastructure. good mission statement A ____________________ helps to unify and motivate stakeholders, keeps the DG program on track, and holds the organization accountable for achieving the stated goals. mission statement A ________________________ identifies the fundamental purpose, scope, and high-level goals of the DG program so that all stakeholders understand and agree on what is to be accomplished. goal A __________ is a desired end result expressed in measurable terms. Goals should be SMART: specific, measurable, attainable, realistic, and time-related. key performance indicators (KPIs) Success measures, often called __________________, are developed to assess the effectiveness of a DG program. Assignment of decision rights __________________________ is defined as appointing authority to specific individuals or categories of individuals to make data-related decisions and designating when and how those decisions are made. Data stakeholders ____________________ are those who have an interest or stake in organizational data. Can include customers, front-line workers, business units, managers, executives, and even external groups such as state and federal agencies, accreditation bodies, and others. internal stakeholders __________________ are executive and senior management, business units, service units, and information technology groups. external stakeholders ________________________ are patients, public health and state and federal governmental agencies, other healthcare providers, and vendors stakeholder analysis A _______________________ is a process that identifies and analyzes the attitudes or opinions of stakeholders. Executive data governance (DG) council It is this group that usu-ally has the final responsibility and authority for approving enterprise-wide DG policies and standards and resolving data-related issues that cannot be decided at lower levels of the DG program. Data Governance (DG) Steering Committee This group serves as the coordinating body for the DG program. It develops the goals of the DG program, identifies and sequences project and task priorities, coordinates the data steward committees, monitors DG program outcomes, recommends policy and standards, and reports the status of the DG program to the executive data governance council. data steward ________________an individual appointed with responsibility and accountability for data, usually in a specific domain. data steward's role The ___________________ is to ensure that adequate, agreed-upon quality metrics are maintained on a continuous basis. - development of data definitions and data models - resolution of data issues - data quality monitoring - testing of data security procedures Tasks that may be performed by data stewards include: Subject matter stewards _________________ within business areas who have a high level of accountability for the management of the data, but not necessarily the day-to-day hands-on responsibilities. Data definition stewards function in a business, as opposed to a technical role; major responsibilities include identifying the specific data needed to operate business processes, recording business definitions and metadata, identifying and enforcing quality standards, communicating data issue concerns, and communicating new or changed business requirements. Data production stewards In a business or technical role and are responsible for inserting, updating, and deleting business and technical data in IT systems; validating data that enters and exits business processes; coding and editing data quality standards such as format and con-tent; and communicating data issue concerns and new or changed business requirements. Data usage stewards Are data users who access and use data for its intended purpose; access information about the data (metadata); ensure the quality, completeness, and accuracy of data usage; and communicate data issue concerns and new or changed business requirements. Cross-functional Data stewards may be organized in program teams focused on specific initiatives that support the organization's DG mission and scope. Usually these teams are , meaning they are composed of individuals_________________, that represent different business units, including IT. Data governance office (DGO) DG efforts are supported by a ______________________ that is led by an individual with the title of chief data officer (CDO) or data governance program director.