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'''早期使用'''
 
'''早期使用'''
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In 1962, [[John Tukey]] described a field he called “data analysis,” which resembles modern data science.<ref name=":7">{{Cite web|url=http://courses.csail.mit.edu/18.337/2015/docs/50YearsDataScience.pdf|title=50 years of Data Science|last=Donoho|first=David|date=September 18, 2015|website=|url-status=live|archive-url=|archive-date=|access-date=April 2, 2020}}</ref> Later, attendees at a 1992 statistics symposium at the [[Montpellier 2 University|University of Montpellier II]] acknowledged the emergence of a new discipline focused on data of various origins and forms, combining established concepts and principles of statistics and data analysis with computing.<ref>{{Cite book|title=Data science and its applications = La @science des données et ses applications|date=1995|publisher=Academic Press/Harcourt Brace|others=Escoufier, Yves., Hayashi, Chikio (1918-....)., Fichet, Bernard.|year=1995|isbn=0-12-241770-4|location=Tokyo|pages=|oclc=489990740}}</ref><ref>{{Cite journal|last=Murtagh|first=Fionn|last2=Devlin|first2=Keith|date=2018|title=The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development|url=https://www.mdpi.com/2504-2289/2/2/14|journal=Big Data and Cognitive Computing|language=en|volume=2|issue=2|pages=14|doi=10.3390/bdcc2020014|via=|doi-access=free}}</ref> 
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In 1962, John Tukey described a field he called “data analysis,” which resembles modern data science. Later, attendees at a 1992 statistics symposium at the University of Montpellier II acknowledged the emergence of a new discipline focused on data of various origins and forms, combining established concepts and principles of statistics and data analysis with computing. 
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The term “data science” has been traced back to 1974, when [[Peter Naur]] proposed it as an alternative name for computer science.<ref name=":0">{{Cite journal|last=CaoLongbing|date=2017-06-29|title=Data Science|journal=ACM Computing Surveys (CSUR)|volume=50|issue=3|pages=1–42|language=EN|doi=10.1145/3076253|doi-access=free}}</ref> In 1996, the International Federation of Classification Societies became the first conference to specifically feature data science as a topic.<ref name=":0" /> However, the definition was still in flux. In 1997, [[C.F. Jeff Wu]] suggested that statistics should be renamed data science. He reasoned that a new name would help statistics shed inaccurate stereotypes, such as being synonymous with accounting, or limited to describing data.<ref>{{Cite web|url=http://www2.isye.gatech.edu/~jeffwu/presentations/datascience.pdf|title=Statistics=Data Science?|last=Wu|first=C.F. Jeff|date=|website=|url-status=live|archive-url=|archive-date=|access-date=April 2, 2020}}</ref> In 1998, Chikio Hayashi argued for data science as a new, interdisciplinary concept, with three aspects: data design, collection, and analysis.<ref>{{Cite journal|last=Murtagh|first=Fionn|last2=Devlin|first2=Keith|date=2018|title=The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development|url=https://www.mdpi.com/2504-2289/2/2/14|journal=Big Data and Cognitive Computing|language=en|volume=2|issue=2|pages=14|doi=10.3390/bdcc2020014|via=|doi-access=free}}</ref> 
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The term “data science” has been traced back to 1974, when Peter Naur proposed it as an alternative name for computer science. In 1996, the International Federation of Classification Societies became the first conference to specifically feature data science as a topic. In 1998, Chikio Hayashi argued for data science as a new, interdisciplinary concept, with three aspects: data design, collection, and analysis. 
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During the 1990s, popular terms for the process of finding patterns in datasets (which were increasingly large) included “knowledge discovery” and “data mining.”<ref name=":1">{{Cite web|url=https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/|title=A Very Short History Of Data Science|last=Press|first=Gil|website=Forbes|language=en|access-date=2020-04-03}}</ref><ref name=":0" /> 
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During the 1990s, popular terms for the process of finding patterns in datasets (which were increasingly large) included “knowledge discovery” and “data mining.” 
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“数据科学”这一术语在过去的三十年里已经出现在各种语境中，但直到最近才成为一个确定的术语。在早期，1960年它被[https://en.wikipedia.org/wiki/Peter_Naur 彼得·诺尔]（Peter Naur）用作[https://en.wikipedia.org/wiki/Computer_science 计算机科学]的代名词。诺尔后来引入了[https://en.wikipedia.org/wiki/Datalogy “数据学”](datalogy)这一术语。
 
“数据科学”这一术语在过去的三十年里已经出现在各种语境中，但直到最近才成为一个确定的术语。在早期，1960年它被[https://en.wikipedia.org/wiki/Peter_Naur 彼得·诺尔]（Peter Naur）用作[https://en.wikipedia.org/wiki/Computer_science 计算机科学]的代名词。诺尔后来引入了[https://en.wikipedia.org/wiki/Datalogy “数据学”](datalogy)这一术语。
 
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In 1962, [[John Tukey]] described a field he called “data analysis,” which resembles modern data science.<ref name=":7">{{Cite web|url=http://courses.csail.mit.edu/18.337/2015/docs/50YearsDataScience.pdf|title=50 years of Data Science|last=Donoho|first=David|date=September 18, 2015|website=|url-status=live|archive-url=|archive-date=|access-date=April 2, 2020}}</ref> Later, attendees at a 1992 statistics symposium at the [[Montpellier 2 University|University of Montpellier II]] acknowledged the emergence of a new discipline focused on data of various origins and forms, combining established concepts and principles of statistics and data analysis with computing.<ref>{{Cite book|title=Data science and its applications = La @science des données et ses applications|date=1995|publisher=Academic Press/Harcourt Brace|others=Escoufier, Yves., Hayashi, Chikio (1918-....)., Fichet, Bernard.|year=1995|isbn=0-12-241770-4|location=Tokyo|pages=|oclc=489990740}}</ref><ref>{{Cite journal|last=Murtagh|first=Fionn|last2=Devlin|first2=Keith|date=2018|title=The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development|url=https://www.mdpi.com/2504-2289/2/2/14|journal=Big Data and Cognitive Computing|language=en|volume=2|issue=2|pages=14|doi=10.3390/bdcc2020014|via=|doi-access=free}}</ref> 
    
1962年，John Tukey 描述了一个他称之为“数据分析”的领域，类似于现代的数据科学。<ref name=":7">
 
1962年，John Tukey 描述了一个他称之为“数据分析”的领域，类似于现代的数据科学。<ref name=":7">
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</ref> 在之后的阶段，参加1992年第二届蒙彼利埃大学统计研讨会的与会者承认了一个新的学科的出现，这个学科专注于各种缘起和形式的数据，将统计和数据分析的既定概念和原则与计算结合起来。<ref>{{Cite book|title=Data science and its applications = La @science des données et ses applications|date=1995|publisher=Academic Press/Harcourt Brace|others=Escoufier, Yves., Hayashi, Chikio (1918-....)., Fichet, Bernard.|year=1995|isbn=0-12-241770-4|location=Tokyo|pages=|oclc=489990740}}</ref><ref>{{Cite journal|last=Murtagh|first=Fionn|last2=Devlin|first2=Keith|date=2018|title=The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development|url=https://www.mdpi.com/2504-2289/2/2/14|journal=Big Data and Cognitive Computing|language=en|volume=2|issue=2|pages=14|doi=10.3390/bdcc2020014|via=|doi-access=free}}</ref>   
 
</ref> 在之后的阶段，参加1992年第二届蒙彼利埃大学统计研讨会的与会者承认了一个新的学科的出现，这个学科专注于各种缘起和形式的数据，将统计和数据分析的既定概念和原则与计算结合起来。<ref>{{Cite book|title=Data science and its applications = La @science des données et ses applications|date=1995|publisher=Academic Press/Harcourt Brace|others=Escoufier, Yves., Hayashi, Chikio (1918-....)., Fichet, Bernard.|year=1995|isbn=0-12-241770-4|location=Tokyo|pages=|oclc=489990740}}</ref><ref>{{Cite journal|last=Murtagh|first=Fionn|last2=Devlin|first2=Keith|date=2018|title=The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development|url=https://www.mdpi.com/2504-2289/2/2/14|journal=Big Data and Cognitive Computing|language=en|volume=2|issue=2|pages=14|doi=10.3390/bdcc2020014|via=|doi-access=free}}</ref>   
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The term “data science” has been traced back to 1974, when [[Peter Naur]] proposed it as an alternative name for computer science.<ref name=":0">{{Cite journal|last=CaoLongbing|date=2017-06-29|title=Data Science|journal=ACM Computing Surveys (CSUR)|volume=50|issue=3|pages=1–42|language=EN|doi=10.1145/3076253|doi-access=free}}</ref> In 1996, the International Federation of Classification Societies became the first conference to specifically feature data science as a topic.<ref name=":0" /> However, the definition was still in flux. In 1997, [[C.F. Jeff Wu]] suggested that statistics should be renamed data science. He reasoned that a new name would help statistics shed inaccurate stereotypes, such as being synonymous with accounting, or limited to describing data.<ref>{{Cite web|url=http://www2.isye.gatech.edu/~jeffwu/presentations/datascience.pdf|title=Statistics=Data Science?|last=Wu|first=C.F. Jeff|date=|website=|url-status=live|archive-url=|archive-date=|access-date=April 2, 2020}}</ref> In 1998, Chikio Hayashi argued for data science as a new, interdisciplinary concept, with three aspects: data design, collection, and analysis.<ref>{{Cite journal|last=Murtagh|first=Fionn|last2=Devlin|first2=Keith|date=2018|title=The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development|url=https://www.mdpi.com/2504-2289/2/2/14|journal=Big Data and Cognitive Computing|language=en|volume=2|issue=2|pages=14|doi=10.3390/bdcc2020014|via=|doi-access=free}}</ref> 
    
“数据科学”这一术语可以追溯到1974年，在1974年，彼得·诺尔 Peter Naur出版了《计算机方法简明调查》，在这本书对同时代被广泛应用的数据处理方法的调查中，他很自然地使用了“数据科学”这一术语，<ref name=":0">
 
“数据科学”这一术语可以追溯到1974年，在1974年，彼得·诺尔 Peter Naur出版了《计算机方法简明调查》，在这本书对同时代被广泛应用的数据处理方法的调查中，他很自然地使用了“数据科学”这一术语，<ref name=":0">
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</ref> 1996年，国际船级社联合会 the International Federation of Classification Societies成为第一个以数据科学为专题的会议。<ref>
 
</ref> 1996年，国际船级社联合会 the International Federation of Classification Societies成为第一个以数据科学为专题的会议。<ref>
 
{{Cite web|url=http://www2.isye.gatech.edu/~jeffwu/presentations/datascience.pdf|title=Statistics=Data Science?|last=Wu|first=C.F. Jeff|date=|website=|url-status=live|archive-url=|archive-date=|access-date=April 2, 2020}}
 
{{Cite web|url=http://www2.isye.gatech.edu/~jeffwu/presentations/datascience.pdf|title=Statistics=Data Science?|last=Wu|first=C.F. Jeff|date=|website=|url-status=live|archive-url=|archive-date=|access-date=April 2, 2020}}
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</ref> 在1996年，国际分级社团联盟 (IFCS)的成员在日本神户举行了两年一次的会议，在此，术语“数据科学”在由林知己夫（Chikio Hayashi）
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在1996年，国际分级社团联盟 (IFCS)的成员在日本神户举行了两年一次的会议，在此，术语“数据科学”在由林知己夫（Chikio Hayashi）
   
<ref name="Hayashi">
 
<ref name="Hayashi">
 
{{Cite book
 
{{Cite book
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Press, Gil.
 
Press, Gil.
 
[https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/ "A Very Short History Of Data Science"].
 
[https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/ "A Very Short History Of Data Science"].
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</ref>在1997年11月，吴建福（C.F. Jeff Wu）以[https://en.wikipedia.org/wiki/University_of_Michigan 密歇根大学]所授予的H.C Carver教授职位任命发表了题为“统计学=数据科学？”
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在1997年11月，吴建福（C.F. Jeff Wu）以[https://en.wikipedia.org/wiki/University_of_Michigan 密歇根大学]所授予的H.C Carver教授职位任命发表了题为“统计学=数据科学？”
   
<ref name="cfjwutk">
 
<ref name="cfjwutk">
 
Wu, C. F. J. (1997).
 
Wu, C. F. J. (1997).
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on 26 Feb 2017. Retrieved 18 Jul 2017.
 
on 26 Feb 2017. Retrieved 18 Jul 2017.
 
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</ref>
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的第一篇进而发表。
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的第一篇进而发表。1998年，林志雄主张数据科学是一个新的、跨学科的概念，包括数据设计、数据收集和数据分析三个方面。<ref>
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{{Cite journal|last=Murtagh|first=Fionn|last2=Devlin|first2=Keith|date=2018|title=The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development|url=https://www.mdpi.com/2504-2289/2/2/14|journal=Big Data and Cognitive Computing|language=en|volume=2|issue=2|pages=14|doi=10.3390/bdcc2020014|via=|doi-access=free}}</ref> 
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1998年，林志雄主张数据科学是一个新的、跨学科的概念，包括数据设计、数据收集和数据分析三个方面。<ref>
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{{Cite journal|last=Murtagh|first=Fionn|last2=Devlin|first2=Keith|date=2018|title=The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development|url=https://www.mdpi.com/2504-2289/2/2/14|journal=Big Data and Cognitive Computing|language=en|volume=2|issue=2|pages=14|doi=10.3390/bdcc2020014|via=|doi-access=free}}</ref> 
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During the 1990s, popular terms for the process of finding patterns in datasets (which were increasingly large) included “knowledge discovery” and “data mining.”<ref name=":1">{{Cite web|url=https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/|title=A Very Short History Of Data Science|last=Press|first=Gil|website=Forbes|language=en|access-date=2020-04-03}}</ref><ref name=":0" /> 
    
在20世纪90年代，在数据集中寻找模式的流行术语(数据集越来越大)包括“知识发现”和“数据挖掘”<ref name=":1">{{Cite web|url=https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/|title=A Very Short History Of Data Science|last=Press|first=Gil|website=Forbes|language=en|access-date=2020-04-03}}</ref><ref name=":0" />   
 
在20世纪90年代，在数据集中寻找模式的流行术语(数据集越来越大)包括“知识发现”和“数据挖掘”<ref name=":1">{{Cite web|url=https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/|title=A Very Short History Of Data Science|last=Press|first=Gil|website=Forbes|language=en|access-date=2020-04-03}}</ref><ref name=":0" />   
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