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The Guide to Good Data Use - Examples to get inspired
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The Guide to Good Data Use - Examples to get inspired

1.        Why are we presenting the data?

Define no more than 5 distinct journalistic reasons for presenting data

Sample justification: We can produce a better interface than government

 

2.        What data should we present?

Detailed data or summary

                Issues to consider:

Identities and locations of gun owners

                    Homicide victims

                    Dog bite victims

                    Doctors paid by drug companies

                    Government employee salaries

                    Evicted tenants

Raw data or cleaned

                You find the examples

3.        When do we let the data die?

One-off or continuous updates

When should we commit to continuously updating data?

            Earthquakes

            FireTracker

How do we explain to readers the shelf life of our data?

Tax delinquents

When, if ever, should we purge old data?

Teacher misconduct

 

4.        Who controls the data experience?

Interactive experience or directed

Examples:

Visual model showing cause, effect

‘Make a guess’ game

‘Solve the problem’ game

‘Change the outcome’ game

Virtual reality game

Millennials can't afford a home

Gender wage gap

Toggle before, after

Hell and High Water

Finicum shooting

Reshaping New York

Walmart police

Failure factories

Measles outbreaks

5.        Where should we deliver the data?

Within story text, or as visual element

Prisoner releases

Standalone page, or embedded story feature                 

Newborn screenings

                    Home prices

                    Black migration

6.        How should we present the data?

Do’s and Don’ts

WaPo police shootings

Guardian police shootings

Income and school outcomes

                    Supreme Court insiders        

Demographics of Congress

Nuisance abatement actions

The role of supporting text

Dollars for Docs

Tribal settlements