Data Journalism Reporting
Expert-defined terms from the Postgraduate Certificate in Data-Driven Science Journalism course at Stanmore School of Business. Free to read, free to share, paired with a professional course.
Data Journalism Reporting #
Data Journalism Reporting
Data Journalism Reporting involves the use of data to tell stories, uncover tren… #
It combines traditional reporting skills with data analysis to create compelling narratives supported by evidence. Data journalism reporting often involves working with large datasets, cleaning and organizing the data, conducting analysis, and visualizing the findings to present to the audience in an engaging and informative way.
- Data Visualization: The graphical representation of data to help users underst… #
- Data Visualization: The graphical representation of data to help users understand complex information.
- Data Analysis: The process of inspecting, cleansing, transforming, and modelin… #
- Data Analysis: The process of inspecting, cleansing, transforming, and modeling data to uncover useful information.
- Investigative Journalism: In-depth reporting that uncovers wrongdoing, corrupt… #
- Investigative Journalism: In-depth reporting that uncovers wrongdoing, corruption, or abuses of power.
- Open Data: Data that is freely available for anyone to use and republish witho… #
- Open Data: Data that is freely available for anyone to use and republish without restrictions.
Examples #
- A data journalist may analyze government spending data to uncover patterns of… #
- A data journalist may analyze government spending data to uncover patterns of corruption or misuse of funds.
- Data journalism reporting can involve creating interactive maps to show the im… #
- Data journalism reporting can involve creating interactive maps to show the impact of climate change on different regions.
- Investigative journalists may use data analysis to uncover disparities in heal… #
- Investigative journalists may use data analysis to uncover disparities in healthcare access based on demographic factors.
Practical Applications #
- Data journalism reporting can be used to analyze election results and voter de… #
- Data journalism reporting can be used to analyze election results and voter demographics to identify trends and patterns.
- Investigative journalists can use data to track the spread of misinformation o… #
- Investigative journalists can use data to track the spread of misinformation online and its impact on society.
- Data journalism reporting can help uncover disparities in educational outcomes… #
- Data journalism reporting can help uncover disparities in educational outcomes based on factors such as income or race.
Challenges #
- Access to quality data can be a challenge for data journalists, as some datase… #
- Access to quality data can be a challenge for data journalists, as some datasets may be incomplete or difficult to obtain.
- Data journalism reporting requires specialized skills in data analysis and vis… #
- Data journalism reporting requires specialized skills in data analysis and visualization, which may be lacking in traditional journalism training.
- Ensuring the accuracy and reliability of data is crucial in data journalism re… #
- Ensuring the accuracy and reliability of data is crucial in data journalism reporting, as errors can lead to misinformation.
Data Analysis #
Data Analysis
Data analysis is the process of inspecting, cleansing, transforming, and modelin… #
It involves examining raw data to find patterns, trends, and insights that can be used to make informed decisions. Data analysis can be performed using various methods, including statistical analysis, machine learning, and data mining.
- Descriptive Analysis: Examining data to summarize its main characteristics #
- Descriptive Analysis: Examining data to summarize its main characteristics.
- Predictive Analysis: Using data to forecast future trends or outcomes #
- Predictive Analysis: Using data to forecast future trends or outcomes.
- Prescriptive Analysis: Recommending actions based on data analysis #
- Prescriptive Analysis: Recommending actions based on data analysis.
- Data Mining: Extracting patterns from large datasets using techniques from sta… #
- Data Mining: Extracting patterns from large datasets using techniques from statistics and machine learning.
Examples #
- Data analysis can be used to identify customer purchase patterns and optimize… #
- Data analysis can be used to identify customer purchase patterns and optimize marketing strategies.
- Predictive analysis can help businesses forecast demand for products and servi… #
- Predictive analysis can help businesses forecast demand for products and services based on historical sales data.
- Prescriptive analysis can recommend personalized treatment plans for patients… #
- Prescriptive analysis can recommend personalized treatment plans for patients based on their medical history.
Practical Applications #
- Data analysis can help healthcare providers identify trends in patient outcome… #
- Data analysis can help healthcare providers identify trends in patient outcomes and improve treatment protocols.
- Businesses can use data analysis to optimize supply chain management and reduc… #
- Businesses can use data analysis to optimize supply chain management and reduce costs.
- Government agencies can use data analysis to allocate resources more effective… #
- Government agencies can use data analysis to allocate resources more effectively and improve public services.
Challenges #
- Data analysis requires specialized skills in statistics and programming, which… #
- Data analysis requires specialized skills in statistics and programming, which may be lacking in some organizations.
- Ensuring the quality and accuracy of data is crucial for reliable analysis and… #
- Ensuring the quality and accuracy of data is crucial for reliable analysis and decision-making.
- Interpreting complex data analysis results and communicating findings effectiv… #
- Interpreting complex data analysis results and communicating findings effectively to non-technical stakeholders can be challenging.
Data Visualization #
Data Visualization
Data visualization is the graphical representation of data to help users underst… #
It involves creating visualizations such as charts, graphs, maps, and infographics to present data in a clear and concise manner. Data visualization can be used to identify trends, patterns, and outliers in data, making it easier for users to interpret and analyze information.
- Infographics: Visual representations of information or data designed to make c… #
- Infographics: Visual representations of information or data designed to make complex information easily understandable.
- Dashboards: Visual displays of key performance indicators or metrics to track… #
- Dashboards: Visual displays of key performance indicators or metrics to track progress towards goals.
- Heatmaps: Visual representations of data that use color-coding to indicate val… #
- Heatmaps: Visual representations of data that use color-coding to indicate values.
- Interactive Visualizations: Visualizations that allow users to interact with t… #
- Interactive Visualizations: Visualizations that allow users to interact with the data and explore different views.
Examples #
- A bar chart can be used to compare sales performance across different regions #
- A bar chart can be used to compare sales performance across different regions.
- A geographic map can show the distribution of COVID-19 cases by country #
- A geographic map can show the distribution of COVID-19 cases by country.
- A line graph can display trends in stock prices over time #
- A line graph can display trends in stock prices over time.
Practical Applications #
- Data visualization can help businesses track key performance indicators and ma… #
- Data visualization can help businesses track key performance indicators and make informed decisions.
- Journalists can use data visualization to present complex information in an en… #
- Journalists can use data visualization to present complex information in an engaging and easy-to-understand format.
- Researchers can use data visualization to communicate their findings to a wide… #
- Researchers can use data visualization to communicate their findings to a wider audience.
Challenges #
- Choosing the right type of visualization to effectively communicate the data c… #
- Choosing the right type of visualization to effectively communicate the data can be challenging.
- Ensuring the accuracy and integrity of the data used in visualizations is cruc… #
- Ensuring the accuracy and integrity of the data used in visualizations is crucial for reliable interpretation.
- Designing visually appealing and informative visualizations that engage users… #
- Designing visually appealing and informative visualizations that engage users and convey the intended message can be difficult.
Investigative Journalism #
Investigative Journalism
Investigative journalism is a form of in #
depth reporting that uncovers wrongdoing, corruption, or abuses of power. It involves researching and analyzing information to expose issues that may not be readily apparent. Investigative journalists often use a combination of interviews, public records, and data analysis to uncover hidden truths and hold individuals or organizations accountable for their actions.
- Whistleblower: An individual who exposes information or activities that are il… #
- Whistleblower: An individual who exposes information or activities that are illegal, unethical, or improper.
- Deep Dive: A thorough investigation into a specific topic or issue #
- Deep Dive: A thorough investigation into a specific topic or issue.
- Freedom of Information Act (FOIA): Legislation that allows individuals to requ… #
- Freedom of Information Act (FOIA): Legislation that allows individuals to request access to government records.
Examples #
- Investigative journalists may uncover financial fraud by analyzing corporate d… #
- Investigative journalists may uncover financial fraud by analyzing corporate documents and interviewing insiders.
- A whistleblower may provide evidence of misconduct within a government agency… #
- A whistleblower may provide evidence of misconduct within a government agency that leads to investigations and reforms.
- Investigative journalists may expose environmental violations by analyzing dat… #
- Investigative journalists may expose environmental violations by analyzing data on pollution levels and regulatory compliance.
Practical Applications #
- Investigative journalism can uncover corruption in government agencies and hol… #
- Investigative journalism can uncover corruption in government agencies and hold officials accountable for their actions.
- Journalists can use investigative reporting to shed light on social injustices… #
- Journalists can use investigative reporting to shed light on social injustices and advocate for change.
- Investigative journalism can help uncover systemic issues in industries such a… #
- Investigative journalism can help uncover systemic issues in industries such as healthcare, education, and finance.
Challenges #
- Investigative journalism requires time, resources, and dedication to thoroughl… #
- Investigative journalism requires time, resources, and dedication to thoroughly research and verify information.
- Journalists may face legal challenges, threats, or intimidation when investiga… #
- Journalists may face legal challenges, threats, or intimidation when investigating sensitive topics or powerful individuals.
- Ensuring the safety and security of sources is crucial in investigative journa… #
- Ensuring the safety and security of sources is crucial in investigative journalism to protect whistleblowers and informants.
Open Data #
Open Data
Open data refers to data that is freely available for anyone to use, reuse, and… #
It is typically published online in a machine-readable format to promote transparency, collaboration, and innovation. Open data can include government datasets, research findings, and other information that can be freely accessed and used by the public for various purposes.
- Data Sharing: The practice of making data available to others for use and anal… #
- Data Sharing: The practice of making data available to others for use and analysis.
- Data Transparency: The principle of making data accessible, understandable, an… #
- Data Transparency: The principle of making data accessible, understandable, and usable by the public.
- Open Government Data: Government datasets that are made available to the publi… #
- Open Government Data: Government datasets that are made available to the public for transparency and accountability.
Examples #
- A government agency may publish data on public spending to promote transparenc… #
- A government agency may publish data on public spending to promote transparency and accountability.
- A non-profit organization may release data on social issues to raise awareness… #
- A non-profit organization may release data on social issues to raise awareness and drive positive change.
Practical Applications #
- Open data can be used to track government spending, monitor public services, a… #
- Open data can be used to track government spending, monitor public services, and hold officials accountable.
- Researchers can use open data to analyze trends, conduct studies, and generate… #
- Researchers can use open data to analyze trends, conduct studies, and generate new insights.
- Developers can use open data to create innovative applications, tools, and ser… #
- Developers can use open data to create innovative applications, tools, and services that benefit society.
Challenges #
- Ensuring the quality, accuracy, and reliability of open data is crucial for it… #
- Ensuring the quality, accuracy, and reliability of open data is crucial for its effective use and interpretation.
- Data privacy concerns may arise when sharing sensitive information or personal… #
- Data privacy concerns may arise when sharing sensitive information or personal data in open datasets.
- Encouraging data literacy and promoting awareness of open data among the publi… #
- Encouraging data literacy and promoting awareness of open data among the public can be challenging.