book

Data for All

Name: Data for All
Author: John K. Thompson
ISBN: 9781633438774

by John K. Thompson

June 2023

Beginner

192 pages

8h 21m

English

Manning Publications

Read now

Unlock full access

Inside front cover
Analytical Maturity Model
In Praise of Data for All...
Data for All
Copyright
brief contents
contents
front matter
forewordprefaceacknowledgmentsabout this bookliveBook discussion forumabout the authorabout the cover illustration
1 A history of data
1.1 A concerning situation1.1.1 Life cycle of a video, picture, text, email, or file1.1.2 All your online actions create permanent records of your activity1.1.3 Intelligent choices1.2 An example: Genetic testing and reporting1.2.1 Genetic sequencing1.3 The beginnings of modern data1.3.1 Commercial data and analytics: Data as a valuable commodity1.3.2 How our data rights and right to compensation were diverted1.3.3 Let’s jump forward to the late 20th century... in the UK1.4 Modern data in the present day1.4.1 The dangers of social media1.4.2 People are waking up to the abuse of our data1.4.3 And here we find ourselves1.5 The new and current view and value of data1.5.1 Data is the new sand1.5.2 Data is the new sun1.5.3 Data is the new gold1.5.4 Data is the new currency1.5.5 Data is the new plastic1.5.6 Data is the new bacon1.5.7 Data is the new future1.6 Wrapping upSummary
2 How data works today
2.1 Where does data originate?2.2 The life cycle of data2.2.1 Location services2.2.2 Do you like being tracked and monitored?2.3 The past is the past, but the future has not been written yet2.4 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 interests2.4.4 Infrequent or episodic transactions2.4.5 Small repetitive transactions2.4.6 Data and the power of multiple data sources2.4.7 Fresh or stale, just like bread2.4.8 But day-old bread has its uses too2.5 Whose interests are being served by leveraging your data?2.5.1 This can only continue if we allow it2.5.2 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 data2.7 Final thoughtsSummary
3 You and your data
3.1 Origins of the internet and World Wide Web3.2 Current views and attitudes toward data3.3 Some people don’t have the luxury of thinking about data3.3.1 People who live in poverty3.3.2 People who are living at subsistence levels3.3.3 Reducing poverty and why it matters3.4 How the general population thinks about data today3.5 How do you think about data today?3.5.1 You own your data3.5.2 Think about how your data is being treated3.5.3 Think about your children3.5.4 Worldwide data creation3.5.5 Thinking about how to manage your data3.5.6 Reaping a monetary reward from companies using your data3.5.7 Carrot and stick3.6 Green shoots and new beginnings3.7 Final thoughtsSummary

4 Trust
4.1 Forces that are working against our best interests4.2 Trust4.2.1 Infotainment is not news, and alternative facts do not exist4.2.2 Citizenship and our duty to the objective truth4.3 Trust in government4.4 Trust in business and business leaders4.4.1 Trust in technology companies4.4.2 Why do people feel they need to be connected to technology? 184.4.3 Trust in media companies4.5 Trust is lost; time for a change4.6 Technology and media companies are making bank from your data4.6.1 What is the value of data, and how much can it mean to each individual?4.7 Governmental regulations4.7.1 The European Union4.7.2 Australia4.7.3 The United States4.8 Effect of data laws around the globe4.9 Final thoughtsSummary
5 Privacy
5.1 Privacy defined5.2 Privacy throughout history5.2.1 The internet has not eliminated privacy5.2.2 Privacy crosses sociology, psychology, and basic human conditions5.2.3 The need for privacy compared to the right of privacy5.3 Psychology and privacy5.4 We need privacy like we need sleep5.5 Privacy and secrecy5.6 Two sides of privacy5.7 Privacy and human behavior5.8 Privacy precepts5.9 Poor privacy policies5.10 Enlightened privacy policies and related data protection5.11 Privacy laws and regulations5.12 Privacy and data ownership5.13 Privacy and technology5.14 Privacy and trust5.15 Final thoughtsSummary
6 Moving from Open Data to Our Data
6.1 Data from many sources drives value6.2 Data and analytics at dinner parties6.3 Data can be used as a weapon6.4 The horse is out of the barn, let’s go riding . . .6.5 New and modern approaches to data6.5.1 Open Data defined6.5.2 Open Data’s beginnings6.5.3 Open Data today6.5.4 Governmental Open Data policies6.5.5 Open Data: US federal and state governments6.6 Data exchanges276.6.1 Types of data exchanges6.7 Data intermediaries, data pools, and data unions6.8 Data commons6.9 Final thoughtsSummary
7 Derived data, synthetic data, and analytics
7.1 Data lineage7.2 Forms of data7.2.1 Natural or raw data7.2.2 Aggregated data7.2.3 Derived data7.2.4 Synthetic data7.2.5 Simulated data7.2.6 Optimization data7.2.7 Machine-generated data, Internet of Things data7.3 Analytics and data7.3.1 Analytics continuum7.3.2 Stage 0: Descriptive statistics7.3.3 Stage 1: Predictive analytics7.3.4 Stage 2: Prescriptive analytics7.3.5 Stage 3: Simulation7.3.6 Stage 4: Optimization7.4 Augmented intelligence7.5 Data scientists and statisticians7.6 Final thoughtsSummary
8 Looking forward: 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 changes8.1.2 The new data ecosystem will create and realign flows of money8.1.3 Innovation and change will create friction and opportunity8.1.4 It may be hard to see, but change is well underway8.2 A day in the life of your data... well, actually two days8.2.1 Data you create each day will not change8.2.2 All the data we create in our daily lives: An example8.2.3 New data streams from our roads and cars8.3 What’s different in 2025?8.4 Data intermediaries (DIs)8.4.1 Creation of DIs8.4.2 A new regulatory environment for data8.4.3 Managing your data in 20258.5 Dimensions of data access8.6 What DIs will do for you8.6.1 Setting revenue maximization as your primary objective8.6.2 Many objectives8.6.3 Setting multiple objectives8.7 Dimensions of data monetization8.7.1 How much money will your data dividend be?8.7.2 Data ownership and licensing8.7.3 Beyond the cash, what is the value to you?8.8 So what do we do today?8.9 Final thoughtsSummary
Appendix A. Timeline of the development of the Internet
Appendix B. A Declaration of the Independence of Cyberspace by John Perry Barlow
Appendix C. Washington Post–Schar School Trust in Technology Survey
Methodological details
Appendix D. Data sources about you and your world
Personal Identifiable Information (PII)Personal or Protected Health Information (PHI) as defined by Health Information Portability and Accountability Act (HIPAA)Impact of Privacy Policies on HIPAA protected data
Appendix E. A complete list of 2021 consumer data privacy legislation
Appendix F. Open data by US state
index

Content preview from Data for All

brief contents

1 A history of data

2 How data works today

3 You and your data

4 Trust

5 Privacy

6 Moving from Open Data to Our Data

7 Derived data, synthetic data, and analytics

8 Looking forward: What’s next for our data?

Appendix A. Timeline of the development of the Internet

Appendix B. A Declaration of the Independence of Cyberspace by John Perry Barlow

Appendix C. Washington Post-Schar School Trust in Technology Survey

Appendix D. Data Sources about you and your world

Appendix E. A complete list of 2021 consumer data privacy legislation

Appendix F. Open Data by US State

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.

Julian F.

Head of Cybersecurity

I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.

Addison B.

Field Engineer

I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.

Amir M.

Data Platform Tech Lead

I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.

Mark W.

Embedded Software Engineer

Publisher Resources

ISBN: 9781633438774Publisher Support Publisher Website

Cloud Computing

Data Engineering

Data Science

AI & ML

Programming Languages

Software Architecture

IT/Ops

Security

Design

Business

Soft Skills

Data for All

by John K. Thompson

brief contents

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.