- Quote: "Data journalism or data-driven journalism (DDJ) is journalism based on the filtering and analysis of large data sets for the purpose of creating or elevating a news story."
Understanding the sources of data that can be used for journalism, including government data, social media, and other datasets.
Types of Data Sources: Describes the different kinds of data sources that exist and their respective characteristics, such as official statistics, surveys, administrative data, crowd-sourced data, and others.
Data Collection Methods: Explains the various methods to collect data, such as online surveys, phone polling, intercept surveys, focus groups, and observational research.
Sampling Techniques: Outlines the ways in which researchers can collect data from a subset of individuals or items chosen from a larger population, such as random sampling, stratified sampling, and cluster sampling.
Data Analysis Methods: Describes techniques for analyzing data, including statistical analysis, content analysis, network analysis, sentiment analysis, and data visualization.
Data Cleaning and Pre-processing: Explains the process of cleaning and preparing data before it can be used, including removing errors, missing values, outliers, and transforming data into a suitable format.
Data Ethics and Privacy: Discuses ethical considerations when working with data, such as informed consent, anonymity, privacy, and confidentiality.
Data Visualization: Explains the different types of data visualization techniques, such as graphs, charts, and maps, and how to choose the appropriate visualization method for a particular data set.
Data-Driven Storytelling: Introduces the process of using data to tell stories in a way that is meaningful and compelling for the audience.
Database Management: Describes the process of storing, organizing, and managing large data sets in a database or data warehouse.
Data Journalism and Newsroom Integration: Outlines how data journalism can be integrated into newsroom workflows, and emphasizes the importance of collaboration between data journalists and other newsroom professionals.
Open Data: Publicly available data that is provided by governments, organizations, or individuals.
Public Records: Legal or governmental records that are available for public access.
Surveys: Data collected through a survey process, usually involving questionnaires.
Research Studies: Data collected through various types of research studies, including experimental and observational studies.
Social Media Data: Data collected from social media platforms, such as Twitter, Facebook, Instagram, etc.
Web Scraping: The process of extracting data from websites.
Data Mining: The process of discovering patterns in large datasets through statistical analysis.
IoT and Sensor Data: Data collected through sensors and IoT devices, such as fitness trackers, smart home technology, etc.
Population Data: Data related to demographics, population size, birth and death rates, etc.
Financial Data: Data related to the stock market, company finances, economic indicators, etc.
Crime Data: Data related to criminal activities, law enforcement activities, etc.
Weather and Climate Data: Data related to weather patterns, temperature fluctuations, climate change, etc.
Health Data: Data related to diseases, public health, healthcare, etc.
Education Data: Data related to education, including enrollment rates, graduation rates, test scores, etc.
Travel Data: Data related to travel, including transportation statistics, tourism, hotel occupancy rates, etc.
- Quote: "Data journalism reflects the increased role of numerical data in the production and distribution of information in the digital era."
- Quote: "It involves a blending of journalism with other fields such as data visualization, computer science, and statistics, 'an overlapping set of competencies drawn from disparate fields'."
- Quote: "Many data-driven stories begin with newly available resources such as open source software, open access publishing and open data, while others are products of public records requests or leaked materials."
- Quote: "This approach to journalism builds on older practices, most notably computer-assisted reporting (CAR) a label used mainly in the US for decades."
- Quote: "Data-driven journalism strives to reach new levels of service for the public, helping the general public or specific groups or individuals to understand patterns and make decisions based on the findings."
- Quote: "The findings from data can be transformed into any form of journalistic writing."
- Quote: "Visualizations can be used to create a clear understanding of a complex situation."
- Quote: "Furthermore, elements of storytelling can be used to illustrate what the findings actually mean, from the perspective of someone who is affected by a development."
- Quote: "This connection between data and story can be viewed as a 'new arc' trying to span the gap between developments that are relevant, but poorly understood, to a story that is verifiable, trustworthy, relevant, and easy to remember."
- Quote: "The process builds on the growing availability of open data that is freely available online and analyzed with open source tools."
- Quote: "Data-driven journalism strives to reach new levels of service for the public, helping the general public or specific groups or individuals to understand patterns and make decisions based on the findings."
- Quote: "Other labels for partially similar approaches are 'precision journalism', based on a book by Philipp Meyer, published in 1972, where he advocated the use of techniques from social sciences in researching stories."
- Quote: "Telling stories based on the data is the primary goal."
- Quote: "This approach to journalism builds on older practices, most notably computer-assisted reporting (CAR) a label used mainly in the US for decades."
- Quote: "Many data-driven stories begin with newly available resources such as open source software."
- Quote: "Data-driven journalism might help to put journalists into a role relevant for society in a new way."
- Quote: "Furthermore, elements of storytelling can be used to illustrate what the findings actually mean, from the perspective of someone who is affected by a development."
- Quote: "Visualizations can be used to create a clear understanding of a complex situation."
- Quote: "Many data-driven stories begin with newly available resources such as open access publishing."