Legal Functions Are The Most Important Area Of IG ✓ Solved

Question 1legal Functions Are The Most Important Area Of Ig Impact U

Question 1: Legal functions are the most important area of IG impact. Under the FRCP amendments, corporations must proactively manage the e-discovery process to avoid what? A. a loss of public trust B. unfavorable rulings C. Sanctions, D. All of the above

Question 2: The implementation of an LHN program attacks some of the low-hanging fruit within an organization’s overall IG position. This part of the e-discovery life-cycle must not be outsourced. Why is this the case? A. Retained counsel does not provide input or the mechanics of the LHN don’t need to be managed and owned by the internal corporate resources B. Both A and C C. No internal ownership is required by the counsel’s engagement in this situation D. Retained counsel provides input, but the mechanics of the LHN must be managed and owned by the internal corporate resources

Question 3: The ………………………….is a visual planning tool created by EDRM.net to assist in identifying and clarifying the stages of the e-discovery process? A. E-Discovery Reference Model B. None of the above C. Information Management Protocol D. Guidelines for E-Discovery Planning

Question 4: According to recent surveys regarding Big Data and its impacts, approximately 25………………. percent of information stored in organizations has real business value, while 5……………. percent must be kept as business records and about 1…………… percent is retained due to a litigation hold. A. 25, 5, 1 B. None of the above C. 25, 5, 2 D. 1, 5, 25

Question 5: What is ISO 38500? ……………………………………. that provides high-level principles and guidance for senior decision-makers A. International Organization Law B. European and American Standard Procedure C. International standard D. International Metric

Question 6: Principles of IG are on the evolutionary edge, and therefore, most successful IG programs have been characterized by ten key principles which have become the ……………………………………...and should be designed into the IG approach. A. Design B. basis for best practices C. Both A and B D. Basic foundation

Question 7: Principles of IG are on the evolutionary edge, and therefore, most successful IG programs have been characterized by …………………………… key principles which have become the basis for best practices and should be designed into the IG approach. A. Ten B. Eleven C. None of the above D. Five

Question 8: What is ITIL? A. Focuses on value delivery B. All of the above. C. A group of metrics that govern the program D. A set of process-oriented best practices

Question 9: The principles of successful IG programs are emerging, and they include executive sponsorship, and………………, ………………, ………………, ……………, ……………, …………, ………..., ……………..., and ……………? A. Information classification, integrity, security, accessibility, control, monitoring, auditing, policy development, and continuous metrics B. A and B C. Information classification, integrity, security, personally identifiable information, control, monitoring, auditing, policy development, and continuous improvement D. Information classification, integrity, security, accessibility, control, monitoring, auditing, policy development, and continuous improvement

Question 10: Generally Accepted Recordkeeping Principles are sometimes known as the ………………………..? A. The ARMA Principles B. The IG Principles C. None of the above D. The GAR Principles

Question 11: Risk Profile creation is a basic building block in the Enterprise Risk Management to assist executives to understand the risks associated with? A. Stated Business Agreements B. Stated Business Objectives C. Both A, B, and C D. Stated Business Goals

Question 12: According to the best business practices associated with and approved by IG Subject Matter experts, there are three (3) key Event-Based prerequisites that must be completed before an event-based disposition can be implemented. These prerequisites are? A. The ERM Systems must have complete retention and disposition capabilities, A clear start date is a required, Clarify trigger events B. Clarify trigger events, an automated capture of agreed-on trigger events must be performed and sent to the ERM, The ERM Systems must have complete retention and disposition capabilities C. A clear start date is a required, Retention periods must be segmented into active and inactive, Clarify trigger events D. None of the above

Question 13: Which one of the following is TRUE about the IG Reference Model? A. Linking duty + value to information asset = efficient, effective management B. All of the above C. Linking duty + policy integration = efficient, effective management D. Linking duty + value to information asset = Unified governance, effective management

Question 14: ……….is a process-based IT governance framework that represents a consensus of experts worldwide. A. CobiTL B. CobiT C. All of the above D. CobiTX

Question 15: IG is sort of a super discipline that encompasses a variety of key concepts from a variety of ………………………………? A. Isolated discipline but comprehensive B. All of the above. C. Related and overlapping disciplines D. Never overlapping disciplines

Question 16: Predictive coding software leverages ............................. when experts review a subset of documents to teach the software what to look for, so it can apply this logic to the full set of .........................? A. Pattern search, intelligence B. Human analysis, pages C. Human analysis, documents D. Human Intelligence, documents

Question 17: TRUE or FALSE: Unknown or useless data, such as old log files that take up space and continues to grow and requires regular clean-up is sometimes known as dark data True False

Question 18: TRUE or FALSE: Clean, build and maintain, Survey and monetize are the 3 phases in the Yard’s rebirth. True False

Question 19: TRUE or FALSE: Clean, build and maintain, and monetize are the 3 phases in the Yard’s rebirth True False

Question 20: TRUE or FALSE: Good data governance ensures that downstream negative effects of poor data are avoided and that subsequent reports, analyses, and conclusions are based on reliable, and trusted data. True False

Question 21: TRUE or FALSE: According to the Intersection of IG and E-Discovery, the Legal Hold Process is NOT a foundational element of Information Governance (IG). True False

Question 22: Creating a …………………… is a basic building block in an ………………… that assists business executives understand the risks associated with stated business objectives. A. Risk Profile, Framework B. All of the above C. ISO 9000, Heatmap D. Risk profile, Enterprise Risk Management

Question 23: What’s the fundamental function of the GAR Principle? A. None of the above B. Generally Accepted Recordkeeping principles is used to measure program profits C. Foster awareness of good record-keeping practices, and provides associated metrics to provide an IG framework to support continuous improvement D. To deploy Gastric Analysis Revenue

Question 24: One of the ten IG principles is a Continuous improvement. What is the importance of this principle to the organization program? A. Ensure guidelines and policies are being followed to measure employee compliance B. Provide periodic program review and necessary adjustment against gaps and or shortcomings C. Document management and report management software must be deployed for control D. None of the above

Question 25: From our Chapter 9; – Records Management (RM) is a key impact area of IG – so much that in the RM space, IG is often thought of as synonymous with or a single superset of RM. From that perspective, the International Organization for Standardization (ISO) defined business records as……………………………………….? A. Both A and B B. information created, received, and maintained as evidence and information by an organization or person, in pursuance of legal obligations C. information created, received, and maintained as evidence and information by an organization in pursuance of legal obligations. D information created, received, and maintained as evidence and information by an organization or person, in pursuance of legal obligations or in the transaction in the form of Files

Sample Paper For Above instruction

Introduction

Information Governance (IG) has emerged as a crucial discipline in the management of corporate data and legal compliance. It encompasses a wide range of principles, standards, and practices designed to ensure that organizations effectively manage their information assets, mitigate risks, and comply with legal and regulatory requirements. This paper explores the critical aspects of IG, focusing on legal functions, e-discovery processes, international standards, and the role of technology in supporting effective governance.

Legal Functions and E-Discovery Management

Legal functions are fundamental to the impact of Information Governance within organizations. Under amendments to the Federal Rules of Civil Procedure (FRCP), corporations are mandated to proactively manage electronic discovery (e-discovery) to avoid sanctions and unfavorable rulings. Proper management of e-discovery not only ensures compliance but also preserves organizational integrity and public trust (Sullivan, 2019).

The implementation of Legal Hold Notices (LHN) is a significant component in the e-discovery lifecycle. Critical to its success is internal ownership, as outsourced management may lack the nuance and jurisdictional knowledge that internal teams possess. Internal management allows for precise control, timely responses, and alignment with organizational policies, which is crucial for minimizing risks associated with litigation and regulatory inquiries (Johnson & Lee, 2020).

Standards, Models, and Tools in IG

The E-Discovery Reference Model (EDRM) provides a visual planning framework that helps organizations understand and navigate the stages of e-discovery processes. Its systematic approach assists in clarifying roles, responsibilities, and workflows, thereby improving efficiency and compliance (EDRM, 2022).

Regarding data classification, recent surveys reveal that only about 25% of organizational data holds true business value, emphasizing the importance of effective information management. Additionally, a small percentage of data, around 5%, must be retained as official records, and approximately 1% is preserved due to litigation holds (Miller, 2021).

International Standards and Principles

ISO 38500 provides high-level principles and guidance specifically aimed at senior decision-makers overseeing IT governance. Its role in aligning IT strategy with business objectives ensures responsible resource utilization, risk management, and value creation (ISO, 2018).

The Generally Accepted Recordkeeping Principles (GAR) are core to best practices in records management, focusing on aspects such as accountability, transparency, integrity, security, compliance, retention, and disposition. These principles support continuous improvement efforts within organizations' governance frameworks (ARMA International, 2019).

Frameworks, Models, and Best Practices

The IG Reference Model effectively links duties and value to information assets, facilitating efficient governance. It emphasizes integrating policies and assigning responsibilities to achieve effective management and reduce operational risks (Cox, 2020).

CobIT, a widely recognized IT governance framework, offers comprehensive controls for managing enterprise IT. It aligns with global best practices, ensuring that IT supports organizational goals and risk appetite effectively (IT Governance Institute, 2017).

The Role of Technology in IG

Predictive coding software leverages machine learning techniques where experts review a subset of documents to teach the system, enabling scalable and efficient document analysis. This AI-driven approach both accelerates discovery and reduces costs by automating parts of the review process (Katz & Crawford, 2020).

Understanding dark data, which refers to undeclared or unused data that can pose security and compliance risks, is critical for maintaining data hygiene and optimizing data assets (Larkin, 2021).

Continuous Improvement and Ethical Considerations

Continual review and adaptation are fundamental principles in IG programs, ensuring that policies are aligned with evolving legal requirements and technological advancements. Regular audits, feedback loops, and process improvements enable organizations to stay compliant and enhance their governance maturity (Williams, 2022).

Ethically, organizations must ensure that data governance practices uphold transparency, fairness, and accountability, aligning with international standards such as ISO 38500 and GAR Principles (Thompson, 2019).

Conclusion

As organizations increasingly rely on digital data, effective IG becomes vital for legal compliance, operational efficiency, and risk management. By integrating international standards, adopting robust frameworks, and leveraging advanced technology like AI and machine learning, organizations can build resilient governance programs capable of adapting to future challenges.

References

• ARMA International. (2019). Generally Accepted Recordkeeping Principles (GARP). ARMA.
• Cox, J. (2020). The IG Reference Model: Framework for Successful Data Governance. Journal of Data Management, 34(2), 56-74.
• EDRM. (2022). E-Discovery Reference Model. EDRM.net.
• ISO. (2018). ISO 38500:2018 - Information technology — Governance of information technology. International Organization for Standardization.
• Johnson, R., & Lee, T. (2020). Managing Legal Holds Internally: Best Practices. Legal Management Journal, 15(4), 112-125.
• Katz, D., & Crawford, P. (2020). Leveraging AI in e-Discovery: Predictive Coding Software. Journal of Legal Technology, 22(1), 33-45.
• Larkin, M. (2021). Dark Data: Risks and Opportunities. Data Security Review, 9(3), 21-27.
• Miller, A. (2021). Data Valuation in Modern Organizations. Information Management, 14(5), 89-97.
• IT Governance Institute. (2017). COBIT 5 Framework. ITGI.
• Sullivan, P. (2019). Legal Functions in Data Governance: Challenges and Strategies. Corporate Compliance Magazine, 28(6), 88-95.
• Williams, S. (2022). Continuous Improvement in Information Governance Programs. Governance Today, 10(2), 44-50.
• Thompson, L. (2019). Ethical Dimensions of Data Governance. Journal of Business Ethics, 154(4), 935-947.