is comprised of three main parts: Incidents involving manipulation of data, Present-day challenges for data integrity, and Strategies for enhancing data integrity. Part 1 – Incidents involving manipulation of data: 1. The Tampa photojournalist’s near-tragedy: Chris Morris, a renowned photojournalist, struggles to safeguard his life’s work from Hurricane Milton, embodying the vulnerability of digital archives.
2. Fake News Scandal: The Cambridge Analytica data scandal amplified concerns about data privacy and manipulation, reminding us of the urgency of data integrity. Part 2 – Present-day challenges for data integrity: 1. Mounting Digital Data: Organizations are grappling with the exponential growth of digital data which necessitates intelligent ways to store and process it. 2.
Emergence of Artificial Intelligence (AI): AI presents both opportunities and challenges, including potential bias creation and inaccurate predictions. Part 3 – Strategies for enhancing data integrity: 1.
Digital Preservation: Techniques like data mirroring, archival formats, and data resilience ensure data longevity. 2. Data Auditing Techniques: Regular audits ensure data accuracy and compliance, vital for long-term success. 3. Use of APIs in EDI: Leveraging Application Programming Interfaces (APIs) adds automation to EDI processes, augmenting efficiency and accuracy. Conclusion: By acknowledging current challenges and adopting strategies, we can proactively combat data manipulation and ensure data integrity, paving the way for reliable digital ecosystems.
This multi-pronged strategy will involve updating policies, streamlining technologies, and rethinking engagement models.
