Data for All
- Length: 192 pages
- Edition: 1
- Language: English
- Publisher: Manning
- Publication Date: 2023-05-23
- ISBN-10: 1633438775
- ISBN-13: 9781633438774
- Sales Rank: #2367891 (See Top 100 Books)
Take control of your personal data. Learn how companies manipulate and exploit your data and what you can do to access, delete, and monetize it yourself.
Both a handbook and a manifesto, Data for All is a must-read for anyone who wants to take control of their personal data. The book lays out how businesses collect, use, and exploit your data, and clearly explains the legislation that will overturn the existing system. Follow John Thompson’s direct and accessible guidance and you’ll completely change your relationship with your data.
In this fascinating book, you will learn how to oversee who accesses your data, how much different types of data are worth, and how to keep private details private. You’ll soon stop being a passive source of free data, and start earning a “data dividend”—hundreds or thousands of dollars paid out simply for your daily online activities.
Data for All brief contents contents foreword preface acknowledgments about this book liveBook discussion forum about the author about the cover illustration Chapter 1: A history of data 1.1 A concerning situation 1.1.1 Life cycle of a video, picture, text, email, or file 1.1.2 All your online actions create permanent records of your activity 1.1.3 Intelligent choices 1.2 An example: Genetic testing and reporting 1.2.1 Genetic sequencing 1.3 The beginnings of modern data 1.3.1 Commercial data and analytics: Data as a valuable commodity 1.3.2 How our data rights and right to compensation were diverted 1.3.3 Let’s jump forward to the late 20th century . . . in the UK 1.4 Modern data in the present day 1.4.1 The dangers of social media 1.4.2 People are waking up to the abuse of our data 1.4.3 And here we find ourselves 1.5 The new and current view and value of data 1.5.1 Data is the new sand 1.5.2 Data is the new sun 1.5.3 Data is the new gold 1.5.4 Data is the new currency 1.5.5 Data is the new plastic 1.5.6 Data is the new bacon 1.5.7 Data is the new future 1.6 Wrapping up Chapter 2: How data works today 2.1 Where does data originate? 2.2 The life cycle of data 2.2.1 Location services 2.2.2 Do you like being tracked and monitored? 2.3 The past is the past, but the future has not been written yet 2.4 On my way for the day . . . A Grand Day Out . . . 2.4.1 Your working day: Do you know who is watching you? 2.4.2 Browsing data: What are you looking at? 2.4.3 Tangential interests vs. core interests 2.4.4 Infrequent or episodic transactions 2.4.5 Small repetitive transactions 2.4.6 Data and the power of multiple data sources 2.4.7 Fresh or stale, just like bread 2.4.8 But day-old bread has its uses too 2.5 Whose interests are being served by leveraging your data? 2.5.1 This can only continue if we allow it 2.5.2 Is it really possible to exit platforms? 2.5.3 Is it worth what you and we are paying? 2.5.4 Why is the online world different than the offline world? 2.6 Who are you aligned with? 2.6.1 What is in our best interests? 2.6.2 Many paths to liberation: Beginning to control your data. Detoxing your data 2.7 Final thoughts Chapter 3: You and your data 3.1 Origins of the internet and World Wide Web 3.2 Current views and attitudes toward data 3.3 Some people don’t have the luxury of thinking about data 3.3.1 People who live in poverty 3.3.2 People who are living at subsistence levels 3.3.3 Reducing poverty and why it matters 3.4 How the general population thinks about data today 3.5 How do you think about data today? 3.5.1 You own your data 3.5.2 Think about how your data is being treated 3.5.3 Think about your children 3.5.4 Worldwide data creation 3.5.5 Thinking about how to manage your data 3.5.6 Reaping a monetary reward from companies using your data 3.5.7 Carrot and stick 3.6 Green shoots and new beginnings 3.7 Final thoughts Chapter 4: Trust 4.1 Forces that are working against our best interests 4.2 Trust 4.2.1 Infotainment is not news, and alternative facts do not exist 4.2.2 Citizenship and our duty to the objective truth 4.3 Trust in government 4.4 Trust in business and business leaders 4.4.1 Trust in technology companies 4.4.2 Why do people feel they need to be connected to technology? 4.4.3 Trust in media companies 4.5 Trust is lost; time for a change 4.6 Technology and media companies are making bank from your data 4.6.1 What is the value of data, and how much can it mean to each individual? 4.7 Governmental regulations 4.7.1 The European Union 4.7.2 Australia 4.7.3 The United States 4.8 Effect of data laws around the globe 4.9 Final thoughts Chapter 5: Privacy 5.1 Privacy defined 5.2 Privacy throughout history 5.2.1 The internet has not eliminated privacy 5.2.2 Privacy crosses sociology, psychology, and basic human conditions 5.2.3 The need for privacy compared to the right of privacy 5.3 Psychology and privacy 5.4 We need privacy like we need sleep 5.5 Privacy and secrecy 5.6 Two sides of privacy 5.7 Privacy and human behavior 5.8 Privacy precepts 5.9 Poor privacy policies 5.10 Enlightened privacy policies and related data protection 5.11 Privacy laws and regulations 5.12 Privacy and data ownership 5.13 Privacy and technology 5.14 Privacy and trust 5.15 Final thoughts Chapter 6: Moving from Open Data to Our Data 6.1 Data from many sources drives value 6.2 Data and analytics at dinner parties 6.3 Data can be used as a weapon 6.4 The horse is out of the barn, let’s go riding . . . 6.5 New and modern approaches to data 6.5.1 Open Data defined 6.5.2 Open Data’s beginnings 6.5.3 Open Data today 6.5.4 Governmental Open Data policies 6.5.5 Open Data: US federal and state governments 6.6 Data exchanges 6.6.1 Types of data exchanges 6.7 Data intermediaries, data pools, and data unions 6.8 Data commons 6.9 Final thoughts Chapter 7: Derived data, synthetic data, and analytics 7.1 Data lineage 7.2 Forms of data 7.2.1 Natural or raw data 7.2.2 Aggregated data 7.2.3 Derived data 7.2.4 Synthetic data 7.2.5 Simulated data 7.2.6 Optimization data 7.2.7 Machine-generated data, Internet of Things data 7.3 Analytics and data 7.3.1 Analytics continuum 7.3.2 Stage 0: Descriptive statistics 7.3.3 Stage 1: Predictive analytics 7.3.4 Stage 2: Prescriptive analytics 7.3.5 Stage 3: Simulation 7.3.6 Stage 4: Optimization 7.4 Augmented intelligence 7.5 Data scientists and statisticians 7.6 Final thoughts Chapter 8: Looking for ward: What’s next for our data? 8.1 Where do we go from here? 8.1.1 National and state laws will lead and guide the changes 8.1.2 The new data ecosystem will create and realign flows of money 8.1.3 Innovation and change will create friction and opportunity 8.1.4 It may be hard to see, but change is well underway 8.2 A day in the life of your data . . . well, actually two days 8.2.1 Data you create each day will not change 8.2.2 All the data we create in our daily lives: An example 8.2.3 New data streams from our roads and cars 8.3 What’s different in 2025? 8.4 Data intermediaries (DIs) 8.4.1 Creation of DIs 8.4.2 A new regulatory environment for data 8.4.3 Managing your data in 8.5 Dimensions of data access 8.6 What DIs will do for you 8.6.1 Setting revenue maximization as your primary objective 8.6.2 Many objectives 8.6.3 Setting multiple objectives 8.7 Dimensions of data monetization 8.7.1 How much money will your data dividend be? 8.7.2 Data ownership and licensing 8.7.3 Beyond the cash, what is the value to you? 8.8 So what do we do today? 8.9 Final thoughts index A B C D E F G H I J K L M N O P R S T U V W X Y Z
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