New Interpretations of Data cover

New Interpretations of Data

Rating 3.5
Word count
125K words
Chapters
52
ISBN
9787894181718

Tags

Summary

Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, this book starts from an analysis of the phenomenon of data transformation and argues that the essence of data change lies in the binding and retention of more and more people with data information.

This binding and retention causes the utility value of information itself to continuously diminish, while the total amount of human time continuously bound and accumulated upon it becomes the core driving force of data value growth.

By analyzing the relationships among data evolution, data capital, data gaming, and human time, the book proposes a data rights confirmation approach that uses human time as the carrier and the human-data-time coordinate as reference, supporting standardized and universal data. Under the influence of this data rights rule derived from human time, data rules concerning resources and value, transactions and security, retention and distribution will undergo fundamental changes, and the dominant class of data rights will shift from platforms to netizens. Ultimately, the broad masses of people who possess more time resources will become the new masters of the data world.

Editor's review

"A New Interpretation of Data" is not a traditional data analysis technical manual; its core value lies in providing a new thinking framework for understanding and using data. The author, Chen Li, drawing on his deep background spanning academia and industry, successfully combines abstract data concepts with vivid real-world cases, avoiding the technical pile-up and dry exposition common in similar books. The book's most prominent feature is its "deconstruction–reconstruction" narrative logic: it first guides readers beyond the instrumental view of data to examine the generative logic, power relations, and ethical dilemmas of data in contemporary society; then, through case analyses across multiple dimensions—business insight, public policy, daily life—it demonstrates how to transform data thinking into effective decision-making and innovation tools. The discussions on "data bias," "algorithmic black boxes," and "data narratives" are particularly profound, revealing the complex mechanisms beneath the technological surface while offering constructive responses. For readers who wish to go beyond the tool level and understand the power of data from an essential and strategic height, this book offers rare depth and breadth. Its prose is clear and restrained, its argumentation rigorous; although it addresses cutting-edge issues, it avoids sensationalism, reflecting the author's solid academic grounding and pragmatic industry perspective.

Who it's for

A good fit for

  • Data industry beginners and practitioners who wish to build systematic data thinking rather than merely learn specific technologies
  • Non-technical managers in strategy, product, operations, marketing, and other roles who need to use data to drive business decisions
  • Readers in the humanities and social sciences interested in digital society, algorithmic ethics, and related issues who seek accessible yet in-depth interpretation
  • University students in related fields, as supplementary reading for understanding the social dimensions and business applications of data science

Not a good fit for

  • Pure technical learners seeking ready-to-use code, models, or specific step-by-step data analysis operation guides
  • Hardcore technical researchers expecting advanced mathematical derivations or cutting-edge algorithm details

Reading tips

  1. It is recommended to read the first two chapters first to establish the core conceptual framework of the book, then choose subsequent case chapters according to interest for deeper reading
  2. While reading, relate the data thinking proposed in the book to your own work or life scenarios and consider how to apply it to solve practical problems
  3. If certain concepts or cases interest you, note them down and extend your reading through the references or related reports provided by the author

About the publisher

Beijing United Publishing Co., Ltd. China · Founded in 1993

Beijing United Publishing Co., Ltd. is a publisher known for its literature and history titles, with 2,065 books in the collection. Its publishing covers foreign literature, contemporary Chinese prose and essays, history, folk literature, and cultural books. Its list ranges from Sima Qian's complete edition of the Records of the Grand Historian to foreign classics such as The Book of Disquiet, All Quiet on the Western Front, Snow Country, The Stranger, and Jean-Christophe, as well as modern Chinese works including Teahouse and Dawn Blossoms Plucked at Dusk. Its authors and translators include Yasunari Kawabata, Fernando Pessoa, Erich Maria Remarque, Jin Xinyi, Zhou Miao, and Chen Chao. Public information is limited, but its catalogue reflects a balance between Chinese and foreign literary classics and historical and cultural works.

Contents

  1. 版权信息
  2. 作者简介
  3. 序言
  4. 自序
  5. 第一篇 数据之变
  6. 第一章 变化的现象
  7. 第一节 一些奇怪的现象
  8. 第二节 一些习以为常的现象
  9. 第三节 数据时代的迷雾
  10. 第二章 变化的本质
  11. 第一节 黑板擦
  12. 第二节 信息的演进
  13. 第三节 迷雾中的数据变化本质
  14. 第三章 变化的影响
  15. 第一节 数据变化带来的法律规则变革及影响
  16. 第二节 数据理论的探索及影响
  17. 第三节 数据存在的共性问题及时空关联思考
  18. 第二篇 数据之源
  19. 第一章 进化之源
  20. 第一节 进化的思考
  21. 第二节 进化的模型
  22. 第三节 时间维度下的“数据进化论”
  23. 第二章 价值之源
  24. 第一节 数据价值的思考
  25. 第二节 价值之源
  26. 第三章 博弈之源
  27. 第一节 数据博弈的思考
  28. 第二节 数据博弈的价值计算模型
  29. 第三节 数据博弈的延展
  30. 第三篇 数据之权
  31. 第一章 数据权利
  32. 第一节 关于数据权利的思考
  33. 第二节 数据权利的现状及问题
  34. 第三节 数据权利确立的关键
  35. 第二章 数据确权
  36. 第一节 数据确权的背景
  37. 第二节 时间维度下的数据确权要素关键
  38. 第三节 “时间账户”——时间维度下的数据确权基础
  39. 第四节 “时间坐标”数权体系——“时间账户”基础上的确权构想
  40. 第三章 数据赋权
  41. 第一节 数据赋权的保障
  42. 第二节 数据赋权的影响
  43. 第四篇 数据之愿
  44. 第一章 时间账户
  45. 第一节 “时间账户”的设定及规则
  46. 第二节 “时间账户”的应用和发展
  47. 第三节 “时间账户”的实施及建议
  48. 第二章 时间数据世界
  49. 第一节 数据文明(时间文明)
  50. 第二节 时间维度下的“新世界”
  51. 后记
  52. 致谢

FAQ

Does this book require a strong foundation in mathematics or programming?
No. The book focuses on the thinking level rather than technical implementation. It explains core concepts in accessible language, and cases are mostly approached from business and social angles, making it suitable for readers with a wide range of backgrounds.
How is this book different from common data analysis primers (such as Python for Data Analysis)?
The core difference lies in positioning. The latter is a tool book teaching "how to do" data; this book focuses on "how to think" about data, exploring the nature, limitations, influence, and ethics of data—it belongs to the category of conceptual enlightenment and cognitive upgrading.
Are the cases in the book outdated?
The cases the author selects are mostly classic and principle-based, intended to illustrate enduring and effective modes of thinking rather than chase fleeting technological trends. Therefore, its core insights are not outdated and remain instructive for understanding newly emerging data phenomena.

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About the author

陈立 Author

Chen Li is an author about whom limited public information is available. Four works are currently known under this name, spanning music, social science and drama. Among them, Chen Li on Western Classical Music and Traveling with the Great Masters of Music focus on the appreciation and popularization of Western classical music. The former guides readers into the world of classical music through explanatory discussion, while the latter combines music with travel, leading readers to experience the masters' works while on the road. Meanwhile, A New Interpretation of Data addresses social science and data-related topics, showing a direction of writing beyond music. Firefly: The Babu Drama Collection turns to dramatic texts, further broadening the range of subjects and genres. Because information on the author's life, nationality and education is unavailable, this note makes no speculation and, based only on the existing works, presents Chen Li as an author whose interests cross music, social science and drama, with an emphasis on communicating knowledge and enhancing the reading experience.

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