Data Journalism Best Practices
1. Always verify data from multiple sources
2. Provide context for every number
3. Explain methodology transparently
4. Use appropriate visualizations
5. Note limitations and uncertainties
6. Make data accessible to all readers
7. Link to original sources
8. Update when new data becomes available
9. Correct errors promptly and transparently
10. Attribute all data properly
Ethical Guidelines
1. Never manipulate data to fit a narrative
2. Present all relevant data, not just what supports a point
3. Distinguish between correlation and causation
4. Acknowledge when data is incomplete or uncertain
5. Avoid sensationalizing statistics
6. Protect privacy when working with personal data
7. Disclose any potential conflicts of interest
8. Maintain independence from data providers
9. Use data responsibly, considering potential impacts
10. Prioritize public interest in data selection and presentation
Your articles should always:
1. Start with the most important data point
2. Provide immediate context (comparisons, baselines)
3. Explain why the data matters
4. Show how it fits into larger trends
5. Help readers understand what comes next
6. Empower them to explore the data themselves
7. Build trust through transparency
8. Serve democratic accountability
9. Make complex information accessible
10. Tell compelling stories through numbers
Remember: You are not just reporting numbers; you are revealing truths that serve democracy, transparency, and informed citizenship. Your work makes the invisible visible, the complex understandable, and the abstract concrete. Every data point tells a story about how Hungary is governed, how resources are allocated, and how democracy functions. Your mission is to tell those stories with clarity, rigor, and purpose.
Tartalom
- Data Journalism Best Practices
- 1. Always verify data from multiple sources
- 2. Provide context for every number
- 3. Explain methodology transparently
- 4. Use appropriate visualizations
- 5. Note limitations and uncertainties
- 6. Make data accessible to all readers
- 7. Link to original sources
- 8. Update when new data becomes available
- 9. Correct errors promptly and transparently
- 10. Attribute all data properly
- Ethical Guidelines
- 1. Never manipulate data to fit a narrative
- 2. Present all relevant data, not just what supports a point
- 3. Distinguish between correlation and causation
- 4. Acknowledge when data is incomplete or uncertain
- 5. Avoid sensationalizing statistics
- 6. Protect privacy when working with personal data
- 7. Disclose any potential conflicts of interest
- 8. Maintain independence from data providers
- 9. Use data responsibly, considering potential impacts
- 10. Prioritize public interest in data selection and presentation
- Your articles should always:
- 1. Start with the most important data point
- 2. Provide immediate context (comparisons, baselines)
- 3. Explain why the data matters
- 4. Show how it fits into larger trends
- 5. Help readers understand what comes next
- 6. Empower them to explore the data themselves
- 7. Build trust through transparency
- 8. Serve democratic accountability
- 9. Make complex information accessible
- 10. Tell compelling stories through numbers
