Data science (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Data science" in English language version.

refsWebsite

Global rank English rank

16doi.org

2^nd place

9worldcat.org

5^th place

5semanticscholar.org

11^th place

8^th place

5nih.gov

4^th place

4hbr.org

2,754^th place

1,686^th place

3web.archive.org

1^st place

3forbes.com

54^th place

48^th place

3acm.org

1,185^th place

840^th place

2arxiv.org

69^th place

59^th place

2amstat.org

low place

9,188^th place

2gatech.edu

4,448^th place

2,923^rd place

2harvard.edu

18^th place

17^th place

2springer.com

274^th place

309^th place

1books.google.com

3^rd place

1oreilly.com

4,347^th place

3,017^th place

1medriscoll.com

low place

1flowingdata.com

low place

1benfry.com

low place

1statisticsviews.com

low place

1priceonomics.com

low place

1nyu.edu

1,174^th place

773^rd place

1columbia.edu

488^th place

374^th place

1mit.edu

415^th place

327^th place

1nytimes.com

7^th place

1bostonglobe.com

553^rd place

334^th place

1purdue.edu

850^th place

625^th place

1nsf.gov

3,828^th place

2,823^rd place

1squarespace.com

2,953^rd place

1,823^rd place

1researchgate.net

120^th place

125^th place

1sciencedirect.com

149^th place

178^th place

1elsevier.com

610^th place

704^th place

1berkeley.edu

580^th place

462^nd place

1science.org

1,160^th place

737^th place

acm.org

cacm.acm.org

Dhar, V. (2013). "Data science and prediction". Communications of the ACM. 56 (12): 64–73. doi:10.1145/2500499. S2CID 6107147. Archived from the original on 9 November 2014. Retrieved 2 September 2015.

dstf.acm.org

Danyluk, A.; Leidig, P. (2021). Computing Competencies for Undergraduate Data Science Curricula (PDF). ACM Data Science Task Force Final Report (Report).

dl.acm.org

Armbrust, Michael; Xin, Reynold S.; Lian, Cheng; Huai, Yin; Liu, Davies; Bradley, Joseph K.; Meng, Xiangrui; Kaftan, Tomer; Franklin, Michael J.; Ghodsi, Ali; Zaharia, Matei (27 May 2015). "Spark SQL: Relational Data Processing in Spark". Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. ACM. pp. 1383–1394. doi:10.1145/2723372.2742797. ISBN 978-1-4503-2758-9.

amstat.org

magazine.amstat.org

"ASA Statement on the Role of Statistics in Data Science". AmStatNews. American Statistical Association. 1 October 2015. Archived from the original on 20 June 2019. Retrieved 29 May 2019.
Talley, Jill (1 June 2016). "ASA Expands Scope, Outreach to Foster Growth, Collaboration in Data Science". Amstat News. American Statistical Association.. In 2013 the first European Conference on Data Analysis (ECDA2013) started in Luxembourg the process which founded the European Association for Data Science (EuADS) www.euads.org in Luxembourg in 2015.

arxiv.org

Cao, Longbing (29 June 2017). "Data Science: A Comprehensive Overview". ACM Computing Surveys. 50 (3): 43:1–43:42. arXiv:2007.03606. doi:10.1145/3076253. ISSN 0360-0300. S2CID 207595944.
Caliskan, Aylin; Bryson, Joanna J.; Narayanan, Arvind (14 April 2017). "Semantics derived automatically from language corpora contain human-like biases". Science. 356 (6334): 183–186. arXiv:1608.07187. Bibcode:2017Sci...356..183C. doi:10.1126/science.aal4230. ISSN 0036-8075.

benfry.com

"Basic Example". benfry.com. Retrieved 3 April 2020.

berkeley.edu

lawcat.berkeley.edu

Barocas, Solon; Selbst, Andrew D (2016). "Big Data's Disparate Impact". California Law Review. doi:10.15779/Z38BG31 – via Berkeley Law Library Catalog.

books.google.com

Tony Hey; Stewart Tansley; Kristin Michele Tolle (2009). The Fourth Paradigm: Data-intensive Scientific Discovery. Microsoft Research. ISBN 978-0-9825442-0-4. Archived from the original on 20 March 2017.

bostonglobe.com

Borchers, Callum (11 November 2015). "Behind the scenes of the 'sexiest job of the 21st century'". Boston Globe. Boston. Retrieved 10 October 2022.

columbia.edu

statmodeling.stat.columbia.edu

"Statistics is the least important part of data science « Statistical Modeling, Causal Inference, and Social Science". statmodeling.stat.columbia.edu. Retrieved 3 April 2020.

doi.org

Donoho, David (2017). "50 Years of Data Science". Journal of Computational and Graphical Statistics. 26 (4): 745–766. doi:10.1080/10618600.2017.1384734. S2CID 114558008.
Dhar, V. (2013). "Data science and prediction". Communications of the ACM. 56 (12): 64–73. doi:10.1145/2500499. S2CID 6107147. Archived from the original on 9 November 2014. Retrieved 2 September 2015.
Mike, Koby; Hazzan, Orit (20 January 2023). "What is Data Science?". Communications of the ACM. 66 (2): 12–13. doi:10.1145/3575663. ISSN 0001-0782.
Hayashi, Chikio (1 January 1998). "What is Data Science ? Fundamental Concepts and a Heuristic Example". In Hayashi, Chikio; Yajima, Keiji; Bock, Hans-Hermann; Ohsumi, Noboru; Tanaka, Yutaka; Baba, Yasumasa (eds.). Data Science, Classification, and Related Methods. Studies in Classification, Data Analysis, and Knowledge Organization. Springer Japan. pp. 40–51. doi:10.1007/978-4-431-65950-1_3. ISBN 9784431702085.
Cao, Longbing (29 June 2017). "Data Science: A Comprehensive Overview". ACM Computing Surveys. 50 (3): 43:1–43:42. arXiv:2007.03606. doi:10.1145/3076253. ISSN 0360-0300. S2CID 207595944.
Bell, G.; Hey, T.; Szalay, A. (2009). "Computer Science: Beyond the Data Deluge". Science. 323 (5919): 1297–1298. doi:10.1126/science.1170411. ISSN 0036-8075. PMID 19265007. S2CID 9743327.
Emmert-Streib, Frank; Dehmer, Matthias (2018). "Defining data science by a data-driven quantification of the community". Machine Learning and Knowledge Extraction. 1: 235–251. doi:10.3390/make1010015.
Vasant Dhar (1 December 2013). "Data science and prediction". Communications of the ACM. 56 (12): 64–73. doi:10.1145/2500499. S2CID 6107147.
Murtagh, Fionn; Devlin, Keith (2018). "The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development". Big Data and Cognitive Computing. 2 (2): 14. doi:10.3390/bdcc2020014.
Hashem, Ibrahim Abaker Targio; Yaqoob, Ibrar; Anuar, Nor Badrul; Mokhtar, Salimah; Gani, Abdullah; Ullah Khan, Samee (2015). "The rise of "big data" on cloud computing: Review and open research issues". Information Systems. 47: 98–115. doi:10.1016/j.is.2014.07.006.
Qiu, Junfei; Wu, Qihui; Ding, Guoru; Xu, Yuhua; Feng, Shuo (2016). "A survey of machine learning for big data processing". EURASIP Journal on Advances in Signal Processing. 2016 (1). doi:10.1186/s13634-016-0355-x. ISSN 1687-6180.
Armbrust, Michael; Xin, Reynold S.; Lian, Cheng; Huai, Yin; Liu, Davies; Bradley, Joseph K.; Meng, Xiangrui; Kaftan, Tomer; Franklin, Michael J.; Ghodsi, Ali; Zaharia, Matei (27 May 2015). "Spark SQL: Relational Data Processing in Spark". Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. ACM. pp. 1383–1394. doi:10.1145/2723372.2742797. ISBN 978-1-4503-2758-9.
Floridi, Luciano; Taddeo, Mariarosaria (28 December 2016). "What is data ethics?". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 374 (2083): 20160360. Bibcode:2016RSPTA.37460360F. doi:10.1098/rsta.2016.0360. ISSN 1364-503X. PMC 5124072. PMID 28336805.
Mittelstadt, Brent Daniel; Floridi, Luciano (2016). "The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts". Science and Engineering Ethics. 22 (2): 303–341. doi:10.1007/s11948-015-9652-2. ISSN 1353-3452. PMID 26002496.
Barocas, Solon; Selbst, Andrew D (2016). "Big Data's Disparate Impact". California Law Review. doi:10.15779/Z38BG31 – via Berkeley Law Library Catalog.
Caliskan, Aylin; Bryson, Joanna J.; Narayanan, Arvind (14 April 2017). "Semantics derived automatically from language corpora contain human-like biases". Science. 356 (6334): 183–186. arXiv:1608.07187. Bibcode:2017Sci...356..183C. doi:10.1126/science.aal4230. ISSN 0036-8075.

elsevier.com

linkinghub.elsevier.com

Hashem, Ibrahim Abaker Targio; Yaqoob, Ibrar; Anuar, Nor Badrul; Mokhtar, Salimah; Gani, Abdullah; Ullah Khan, Samee (2015). "The rise of "big data" on cloud computing: Review and open research issues". Information Systems. 47: 98–115. doi:10.1016/j.is.2014.07.006.

flowingdata.com

Yau, Nathan (4 June 2009). "Rise of the Data Scientist". FlowingData. Retrieved 3 April 2020.

forbes.com

Press, Gil. "A Very Short History of Data Science". Forbes. Retrieved 3 April 2020.
Press, Gil. "Data Science: What's The Half-Life of a Buzzword?". Forbes. Retrieved 3 April 2020.
Pham, Peter. "The Impacts of Big Data That You May Not Have Heard Of". Forbes. Retrieved 3 April 2020.

gatech.edu

www2.isye.gatech.edu

Wu, C. F. Jeff (1986). "Future directions of statistical research in China: a historical perspective" (PDF). Application of Statistics and Management. 1: 1–7. Retrieved 29 November 2020.
Wu, C. F. Jeff. "Statistics=Data Science?" (PDF). Retrieved 2 April 2020.

harvard.edu

ui.adsabs.harvard.edu

Floridi, Luciano; Taddeo, Mariarosaria (28 December 2016). "What is data ethics?". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 374 (2083): 20160360. Bibcode:2016RSPTA.37460360F. doi:10.1098/rsta.2016.0360. ISSN 1364-503X. PMC 5124072. PMID 28336805.
Caliskan, Aylin; Bryson, Joanna J.; Narayanan, Arvind (14 April 2017). "Semantics derived automatically from language corpora contain human-like biases". Science. 356 (6334): 183–186. arXiv:1608.07187. Bibcode:2017Sci...356..183C. doi:10.1126/science.aal4230. ISSN 0036-8075.

hbr.org

Davenport, Thomas H.; Patil, D. J. (October 2012). "Data Scientist: The Sexiest Job of the 21st Century". Harvard Business Review. 90 (10): 70–76, 128. PMID 23074866. Retrieved 18 January 2016.
Davenport, Thomas (1 October 2012). "Data Scientist: The Sexiest Job of the 21st Century". Harvard Business Review. Retrieved 10 October 2022.
Davenport, Thomas (15 July 2022). "Is Data Scientist Still the Sexiest Job of the 21st Century?". Harvard Business Review. Retrieved 10 October 2022.
Davenport, Thomas H.; Patil, D. J. (1 October 2012). "Data Scientist: The Sexiest Job of the 21st Century". Harvard Business Review. No. October 2012. ISSN 0017-8012. Retrieved 3 April 2020.

medriscoll.com

"the three sexy skills of data geeks". m.e.driscoll: data utopian. 27 May 2009. Retrieved 3 April 2020.

mit.edu

courses.csail.mit.edu

Donoho, David (18 September 2015). "50 years of Data Science" (PDF). Retrieved 2 April 2020.

nih.gov

pubmed.ncbi.nlm.nih.gov

Bell, G.; Hey, T.; Szalay, A. (2009). "Computer Science: Beyond the Data Deluge". Science. 323 (5919): 1297–1298. doi:10.1126/science.1170411. ISSN 0036-8075. PMID 19265007. S2CID 9743327.
Davenport, Thomas H.; Patil, D. J. (October 2012). "Data Scientist: The Sexiest Job of the 21st Century". Harvard Business Review. 90 (10): 70–76, 128. PMID 23074866. Retrieved 18 January 2016.
Floridi, Luciano; Taddeo, Mariarosaria (28 December 2016). "What is data ethics?". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 374 (2083): 20160360. Bibcode:2016RSPTA.37460360F. doi:10.1098/rsta.2016.0360. ISSN 1364-503X. PMC 5124072. PMID 28336805.
Mittelstadt, Brent Daniel; Floridi, Luciano (2016). "The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts". Science and Engineering Ethics. 22 (2): 303–341. doi:10.1007/s11948-015-9652-2. ISSN 1353-3452. PMID 26002496.

ncbi.nlm.nih.gov

Floridi, Luciano; Taddeo, Mariarosaria (28 December 2016). "What is data ethics?". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 374 (2083): 20160360. Bibcode:2016RSPTA.37460360F. doi:10.1098/rsta.2016.0360. ISSN 1364-503X. PMC 5124072. PMID 28336805.

nsf.gov

"US NSF – NSB-05-40, Long-Lived Digital Data Collections Enabling Research and Education in the 21st Century". www.nsf.gov. Retrieved 3 April 2020.

nytimes.com

Miller, Claire (4 April 2013). "Data Science: The Numbers of Our Lives". New York Times. New York City. Retrieved 10 October 2022.

nyu.edu

archive.nyu.edu

Vasant Dhar (1 December 2013). "Data science and prediction". Communications of the ACM. 56 (12): 64–73. doi:10.1145/2500499. S2CID 6107147.

oreilly.com

"1. Introduction: What Is Data Science?". Doing Data Science [Book]. O’Reilly. Retrieved 3 April 2020.

priceonomics.com

"What's the Difference Between Data Science and Statistics?". Priceonomics. 13 October 2015. Retrieved 3 April 2020.

purdue.edu

stat.purdue.edu

Gupta, Shanti (11 December 2015). "William S. Cleveland". Retrieved 2 April 2020.

researchgate.net

Provost, Foster; Tom Fawcett (1 August 2013). "Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking". O'Reilly Media, Inc.

science.org

Caliskan, Aylin; Bryson, Joanna J.; Narayanan, Arvind (14 April 2017). "Semantics derived automatically from language corpora contain human-like biases". Science. 356 (6334): 183–186. arXiv:1608.07187. Bibcode:2017Sci...356..183C. doi:10.1126/science.aal4230. ISSN 0036-8075.

sciencedirect.com

Han, Kamber; Pei (2011). Data Mining: Concepts and Techniques. ISBN 9780123814791.

semanticscholar.org

api.semanticscholar.org

Donoho, David (2017). "50 Years of Data Science". Journal of Computational and Graphical Statistics. 26 (4): 745–766. doi:10.1080/10618600.2017.1384734. S2CID 114558008.
Dhar, V. (2013). "Data science and prediction". Communications of the ACM. 56 (12): 64–73. doi:10.1145/2500499. S2CID 6107147. Archived from the original on 9 November 2014. Retrieved 2 September 2015.
Cao, Longbing (29 June 2017). "Data Science: A Comprehensive Overview". ACM Computing Surveys. 50 (3): 43:1–43:42. arXiv:2007.03606. doi:10.1145/3076253. ISSN 0360-0300. S2CID 207595944.
Bell, G.; Hey, T.; Szalay, A. (2009). "Computer Science: Beyond the Data Deluge". Science. 323 (5919): 1297–1298. doi:10.1126/science.1170411. ISSN 0036-8075. PMID 19265007. S2CID 9743327.
Vasant Dhar (1 December 2013). "Data science and prediction". Communications of the ACM. 56 (12): 64–73. doi:10.1145/2500499. S2CID 6107147.

springer.com

Hayashi, Chikio (1 January 1998). "What is Data Science ? Fundamental Concepts and a Heuristic Example". In Hayashi, Chikio; Yajima, Keiji; Bock, Hans-Hermann; Ohsumi, Noboru; Tanaka, Yutaka; Baba, Yasumasa (eds.). Data Science, Classification, and Related Methods. Studies in Classification, Data Analysis, and Knowledge Organization. Springer Japan. pp. 40–51. doi:10.1007/978-4-431-65950-1_3. ISBN 9784431702085.

link.springer.com

Mittelstadt, Brent Daniel; Floridi, Luciano (2016). "The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts". Science and Engineering Ethics. 22 (2): 303–341. doi:10.1007/s11948-015-9652-2. ISSN 1353-3452. PMID 26002496.

squarespace.com

static1.squarespace.com

Martin, Sophia (20 September 2019). "How Data Science will Impact Future of Businesses?" (PDF). Medium. Retrieved 3 April 2020.

statisticsviews.com

"Nate Silver: What I need from statisticians". Statistics Views. 23 August 2013. Retrieved 3 April 2020.

web.archive.org

Dhar, V. (2013). "Data science and prediction". Communications of the ACM. 56 (12): 64–73. doi:10.1145/2500499. S2CID 6107147. Archived from the original on 9 November 2014. Retrieved 2 September 2015.
Tony Hey; Stewart Tansley; Kristin Michele Tolle (2009). The Fourth Paradigm: Data-intensive Scientific Discovery. Microsoft Research. ISBN 978-0-9825442-0-4. Archived from the original on 20 March 2017.
"ASA Statement on the Role of Statistics in Data Science". AmStatNews. American Statistical Association. 1 October 2015. Archived from the original on 20 June 2019. Retrieved 29 May 2019.

worldcat.org

search.worldcat.org

Mike, Koby; Hazzan, Orit (20 January 2023). "What is Data Science?". Communications of the ACM. 66 (2): 12–13. doi:10.1145/3575663. ISSN 0001-0782.
Cao, Longbing (29 June 2017). "Data Science: A Comprehensive Overview". ACM Computing Surveys. 50 (3): 43:1–43:42. arXiv:2007.03606. doi:10.1145/3076253. ISSN 0360-0300. S2CID 207595944.
Bell, G.; Hey, T.; Szalay, A. (2009). "Computer Science: Beyond the Data Deluge". Science. 323 (5919): 1297–1298. doi:10.1126/science.1170411. ISSN 0036-8075. PMID 19265007. S2CID 9743327.
Escoufier, Yves; Hayashi, Chikio; Fichet, Bernard, eds. (1995). Data science and its applications. Tokyo: Academic Press/Harcourt Brace. ISBN 0-12-241770-4. OCLC 489990740.
Davenport, Thomas H.; Patil, D. J. (1 October 2012). "Data Scientist: The Sexiest Job of the 21st Century". Harvard Business Review. No. October 2012. ISSN 0017-8012. Retrieved 3 April 2020.
Qiu, Junfei; Wu, Qihui; Ding, Guoru; Xu, Yuhua; Feng, Shuo (2016). "A survey of machine learning for big data processing". EURASIP Journal on Advances in Signal Processing. 2016 (1). doi:10.1186/s13634-016-0355-x. ISSN 1687-6180.
Floridi, Luciano; Taddeo, Mariarosaria (28 December 2016). "What is data ethics?". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 374 (2083): 20160360. Bibcode:2016RSPTA.37460360F. doi:10.1098/rsta.2016.0360. ISSN 1364-503X. PMC 5124072. PMID 28336805.
Mittelstadt, Brent Daniel; Floridi, Luciano (2016). "The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts". Science and Engineering Ethics. 22 (2): 303–341. doi:10.1007/s11948-015-9652-2. ISSN 1353-3452. PMID 26002496.
Caliskan, Aylin; Bryson, Joanna J.; Narayanan, Arvind (14 April 2017). "Semantics derived automatically from language corpora contain human-like biases". Science. 356 (6334): 183–186. arXiv:1608.07187. Bibcode:2017Sci...356..183C. doi:10.1126/science.aal4230. ISSN 0036-8075.