Data management policies

by | Apr 29, 2025 | Data

 

 

In what ways would one develop new data management policies

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Dante Alighieri played a critical role in the literature world through his poem Divine Comedy that was written in the 14th century. The poem contains Inferno, Purgatorio, and Paradiso. The Inferno is a description of the nine circles of torment that are found on the earth. It depicts the realms of the people that have gone against the spiritual values and who, instead, have chosen bestial appetite, violence, or fraud and malice. The nine circles of hell are limbo, lust, gluttony, greed and wrath. Others are heresy, violence, fraud, and treachery. The purpose of this paper is to examine the Dante’s Inferno in the perspective of its portrayal of God’s image and the justification of hell. 

In this epic poem, God is portrayed as a super being guilty of multiple weaknesses including being egotistic, unjust, and hypocritical. Dante, in this poem, depicts God as being more human than divine by challenging God’s omnipotence. Additionally, the manner in which Dante describes Hell is in full contradiction to the morals of God as written in the Bible. When god arranges Hell to flatter Himself, He commits egotism, a sin that is common among human beings (Cheney, 2016). The weakness is depicted in Limbo and on the Gate of Hell where, for instance, God sends those who do not worship Him to Hell. This implies that failure to worship Him is a sin.


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God is also depicted as lacking justice in His actions thus removing the godly image. The injustice is portrayed by the manner in which the sodomites and opportunists are treated. The opportunists are subjected to banner chasing in their lives after death followed by being stung by insects and maggots. They are known to having done neither good nor bad during their lifetimes and, therefore, justice could have demanded that they be granted a neutral punishment having lived a neutral life. The sodomites are also punished unfairly by God when Brunetto Lattini is condemned to hell despite being a good leader (Babor, T. F., McGovern, T., & Robaina, K. (2017). While he commited sodomy, God chooses to ignore all the other good deeds that Brunetto did.

Finally, God is also portrayed as being hypocritical in His actions, a sin that further diminishes His godliness and makes Him more human. A case in point is when God condemns the sin of egotism and goes ahead to commit it repeatedly. Proverbs 29:23 states that “arrogance will bring your downfall, but if you are humble, you will be respected.” When Slattery condemns Dante’s human state as being weak, doubtful, and limited, he is proving God’s hypocrisy because He is also human (Verdicchio, 2015). The actions of God in Hell as portrayed by Dante are inconsistent with the Biblical literature. Both Dante and God are prone to making mistakes, something common among human beings thus making God more human.

To wrap it up, Dante portrays God is more human since He commits the same sins that humans commit: egotism, hypocrisy, and injustice. Hell is justified as being a destination for victims of the mistakes committed by God. The Hell is presented as being a totally different place as compared to what is written about it in the Bible. As a result, reading through the text gives an image of God who is prone to the very mistakes common to humans thus ripping Him off His lofty status of divine and, instead, making Him a mere human. Whether or not Dante did it intentionally is subject to debate but one thing is clear in the poem: the misconstrued notion of God is revealed to future generations.

 

References

Babor, T. F., McGovern, T., & Robaina, K. (2017). Dante’s inferno: Seven deadly sins in scientific publishing and how to avoid them. Addiction Science: A Guide for the Perplexed, 267.

Cheney, L. D. G. (2016). Illustrations for Dante’s Inferno: A Comparative Study of Sandro Botticelli, Giovanni Stradano, and Federico Zuccaro. Cultural and Religious Studies, 4(8), 487.

Verdicchio, M. (2015). Irony and Desire in Dante’s” Inferno” 27. Italica, 285-297.

Developing new data management policies is a crucial undertaking for any organization that handles information. These policies establish the rules and guidelines for how data is collected, stored, processed, used, and protected throughout its lifecycle. Here’s a breakdown of the key ways one would develop new data management policies:

1. Understand the Current State and Future Needs:

  • Assess Existing Data Practices: Begin by thoroughly understanding the current data management practices within the organization. This involves identifying:
    • What data is being collected?
    • Where is it stored and how?
    • Who has access to it and for what purposes?
    • What processes are in place for data quality, security, and retention?

Developing new data management policies is a crucial undertaking for any organization that handles information. These policies establish the rules and guidelines for how data is collected, stored, processed, used, and protected throughout its lifecycle. Here’s a breakdown of the key ways one would develop new data management policies:

1. Understand the Current State and Future Needs:

  • Assess Existing Data Practices: Begin by thoroughly understanding the current data management practices within the organization. This involves identifying:
    • What data is being collected?
    • Where is it stored and how?
    • Who has access to it and for what purposes?
    • What processes are in place for data quality, security, and retention?
    • What tools and technologies are currently used?
  • Identify Business Objectives and Data Requirements: Clearly define the organization’s strategic goals and how data supports these objectives. Determine the specific data requirements of different departments and business functions. Consider:
    • What data is needed to achieve business goals?
    • What are the critical data elements?
    • What are the required data quality levels?
    • What are the reporting and analytics needs?
  • Analyze Legal and Regulatory Requirements: Identify all relevant laws, regulations, and industry standards that the organization must comply with regarding data privacy, security, and retention (e.g., GDPR, HIPAA, CCPA).

2. Establish a Data Governance Framework:

  • Define Roles and Responsibilities: Clearly outline who is responsible for different aspects of data management. This includes roles like data owners, data stewards, data custodians, and data users.
  • Create a Data Governance Council: Establish a cross-functional team with representatives from key departments to oversee the development, implementation, and enforcement of data policies.
  • Develop Guiding Principles: Define the overarching principles that will guide data management decisions within the organization (e.g., data quality, security, privacy, accessibility, accountability).

3. Define the Scope of the Policies:

  • Identify Data Domains: Determine the specific categories of data that the policies will cover (e.g., customer data, financial data, employee data, product data).
  • Define the Data Lifecycle: Consider all stages of the data lifecycle, from creation and collection to storage, processing, use, sharing, retention, and disposal.

4. Draft the Policy Documents:

  • Be Clear and Concise: Use plain language and avoid technical jargon where possible. Ensure the policies are easy to understand and follow.
  • Be Comprehensive: Address all critical areas of data management identified in the earlier steps.
  • Be Specific: Provide clear and actionable guidelines rather than vague statements. Include examples and scenarios relevant to the organization.
  • Structure Logically: Organize the policies into clear sections with headings and subheadings for easy navigation.
  • Include Enforcement and Compliance Mechanisms: Specify how the policies will be enforced and the consequences of non-compliance. Outline procedures for monitoring and auditing adherence to the policies.
  • Consider Different Types of Policies: You might need separate policies for different aspects of data management, such as:
    • Data Collection Policy: How data is accurately and ethically collected.
    • Data Quality Policy: Standards for data accuracy, completeness, consistency, and timeliness.
    • Data Storage Policy: Secure storage solutions, backup procedures, and data residency requirements.
    • Data Access and Use Policy: Rules for data access, authorization levels, and acceptable use.
    • Data Security Policy: Measures to protect data confidentiality, integrity, and availability.
    • Data Privacy Policy: Guidelines for handling personal and sensitive data in compliance with regulations.
    • Data Retention and Disposal Policy: Schedules for how long data should be kept and secure methods for disposal.
    • Data Sharing Policy: Rules and procedures for sharing data internally and externally.

5. Engage Stakeholders and Obtain Buy-in:

  • Involve Relevant Departments: Collaborate with representatives from all departments that handle or rely on data to ensure the policies meet their needs and consider their perspectives.

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