Perform data journalism

This standard is about performing data journalism.

Data journalists create stories and narratives using datasets, highlighting the growing significance of data and statistics in information creation and dissemination. This emphasises the need to interpret data-driven insights to cater to diverse audience requirements.

Utilising statistical analysis and data-driven insights, data journalists curate and deliver compelling, high-quality content, enhancing the organisation's editorial landscape across platforms such as social media, articles, news, and other digital channels. Additionally, they offer guidance and support to data and analytical teams throughout the organisation, fostering editorial development and enhancing data storytelling and visualisation techniques to cater to the distinct needs of different audience segments.

This standard is for those who need to perform data journalism as part of their duties.

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1. produce impactful data-driven narratives and insights that resonate with diverse audiences, driving engagement and comprehension
2. create high-quality digital content that enhances data stories on digital platforms, enriching the audience experience and maximising impact
3. conduct thorough research to uncover emerging data insights, patterns, and trends, in line with organisational requirements
4. identify newsworthy discoveries within organisational data while adhering to organisational procedures and protocols
5. collaborate effectively with data analysts to transform data-driven insights into compelling narratives
6. engage with data visualisation specialists, designers, and other data professionals to conceptualise and produce clear, informative graphics that augment storytelling
7. oversee the development and dissemination of data-driven stories, liaising with colleagues across departments to optimise presentation and clarity for target audiences
8. advocate for the significance of data journalism within the organisation, fostering internal understanding and appreciation of its value
9. monitor news and data releases related to the organisation from various sources, enabling timely responses and informed decision-making
10. stay abreast of advancements in data journalism, continuously updating skills and knowledge to remain at the forefront of industry trends and practices

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1. data, statistics, and statistical analysis, along with how to present these for diverse audiences
2. how to leverage statistics, data, and insights to create compelling, high-quality data-driven content
3. how to collaborate effectively with data and analytical teams across the organisation in editorial development and data storytelling
4. the necessity to customise data-driven narratives to cater to the unique needs and preferences of different audience segments
5. the various channels for disseminating data stories, including articles, news stories, social media, blogs, and other online platforms
6. how to discover and develop data-driven stories and editorial content tailored for digital channels, ensuring optimal engagement and resonance
7. how to review data outputs and patterns to inform data-driven storytelling in collaboration with data teams across the organisation
8. industry-standard tools and techniques essential for supporting digital storytelling across social media, and other digital platforms
9. the factors influencing rankings and conversions in SEO (Search Engine Optimisation) rankings based on digital editorial and story promotion strategies
10. the characteristics of digital content platforms, including internet and social media channels, and strategies to leverage content effectively across them
11. industry best practices for data visualisation and graphics, to enhance data stories' impact
12. the significance of strong writing and editing skills, and how to apply these in crafting compelling narratives using accessible language
13. how to conduct interviews with data specialists to draft case studies to enrich the development of data stories and editorial contributions
14. how to utilise existing data to unearth new narratives and insights
15. the importance of accurately documenting data methodologies in the production of data stories and insights, ensuring transparency and reproducibility
16. how to keep up to data with data journalism best practice
17. how to stay abreast of evolving best practices in data journalism, to maintain relevance and effectiveness in the field

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1

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2027

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Current

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Original

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ODAG

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TECDT81041

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Information and Communication Technology Professionals

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2433

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data journalism, data, data storytelling, data analysis, artificial intelligence

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