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book.bib
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@article{Abeysooriya_etal_2021,
doi = {10.1371/journal.pcbi.1008984},
author = {Abeysooriya, Mandhri AND Soria, Megan AND Kasu, Mary Sravya AND Ziemann, Mark},
journal = {PLOS Computational Biology},
publisher = {Public Library of Science},
title = {Gene name errors: Lessons not learned},
year = {2021},
month = {07},
volume = {17},
url = {https://doi.org/10.1371/journal.pcbi.1008984},
pages = {1-13},
abstract = {Erroneous conversion of gene names into other dates and other data types has been a frustration for computational biologists for years. We hypothesized that such errors in supplementary files might diminish after a report in 2016 highlighting the extent of the problem. To assess this, we performed a scan of supplementary files published in PubMed Central from 2014 to 2020. Overall, gene name errors continued to accumulate unabated in the period after 2016. An improved scanning software we developed identified gene name errors in 30.9% (3,436/11,117) of articles with supplementary Excel gene lists; a figure significantly higher than previously estimated. This is due to gene names being converted not just to dates and floating-point numbers, but also to internal date format (five-digit numbers). These findings further reinforce that spreadsheets are ill-suited to use with large genomic data.},
number = {7},
}
@incollection{Abeysundera_2015,
title = {Using Total Survey Error to Study Mode Effect and Other Applications},
author = {Melanie Abeysundera},
booktitle = {Proceedings of the Statistical Society of Canada Annual Meeting, Survey Methods Section},
year = {2015}
}
@Book{Alexander_2023,
title = {Telling Stories with Data: With Applications in R},
author = {Rohan Alexander},
publisher = {CRC Press},
series = {hapman & Hall/CRC Data Science Series},
year = {2023},
isbn = {ISBN 9781032134772},
}
@article{Anscombe_1973,
title = {Graphs in Statistical Analysis},
author = {F. J. Anscombe},
year = {1973},
journal = {The American Statistician},
volume = {27},
number = {1},
pages = {17-21},
DOI = {10.1080/00031305.1973.10478966},
url = {https://www.tandfonline.com/doi/abs/10.1080/00031305.1973.10478966}
}
@misc{Ashton_2018,
title = {Where's my {T}-{S}hirt? {S}upply chain forecasting in fashion},
author = {Doug Ashton},
publisher = {Mango Solutions},
year = {2018},
urldate = {2018-09-13},
url = {https://www.slideshare.net/DouglasAshton1/wheres-my-tshirt-supply-chain-forecasting-in-fashion},
note = {Accessed: 2020-07-09}
}
@misc{Au_data_cleaning_2020,
author = {Randy Au},
title = {Data Cleaning IS Analysis, Not Grunt Work},
year = {2020},
url = {https://counting.substack.com/p/data-cleaning-is-analysis-not-grunt},
note = {Accessed: 2020-09-15}
}
@misc{Au_documentation_2020b,
author = {Randy Au},
title = {Let's Get Intentional About Documentation},
year = {2020},
url = {https://counting.substack.com/p/lets-get-intentional-about-documentation},
note = {Accessed: 2020-09-29}
}
@techreport{ABS_ANZSIC_2006,
title = {{Australian and New Zealand Standard Industrial Classification} ({ANZSIC})},
edition = {2006, Revision 2.0},
author = {{Australian Bureau of Statistics}},
institution = {{Australian Bureau of Statistics}},
catalog = {1292.0},
year = {2006},
url = {https://www.abs.gov.au/statistics/classifications/australian-and-new-zealand-standard-industrial-classification-anzsic/2006-revision-2-0},
note = {Accessed: 2023-06-12}
}
@techreport{BCFerries_2021,
title = {Annual Report to the British Columbia Ferries Commissioner},
author = {{British Columbia Ferry Services Inc.}},
institution = {{British Columbia Ferry Services Inc.}},
year = {2021},
url = {https://www.bcferries.com/web_image/h29/h7a/8854124527646.pdf},
note = {Accessed: 2024-02-17}
}
@Book{Bethlehem_2009,
title = {Applied Survey Methods: A Statistical Perspective},
author = {Jelke Bethlehem},
publisher = {Wiley},
series = {Wiley Series in Survey Methodology},
year = {2009},
isbn = {ISBN: 978-0-470-37308-8},
url = {https://www.wiley.com/en-ca/Applied+Survey+Methods:+A+Statistical+Perspective-p-9780470373088},
}
@misc{Broman_tools4rr_2016,
title = {Tools for Reproducible Research: Organizing projects; exploratory data analysis},
author = {Karl Broman},
publisher = {Biostatistics & Medical Informatics, UW–Madison},
year = {2016},
urldate = {2015-05-14},
url = {https://kbroman.org/Tools4RR/assets/lectures/06_org_eda_withnotes.pdf}
}
@article{Broman_Woo_2017,
title = {Data organization in spreadsheets},
author = {Karl Broman and Kara Woo},
year = {2017},
journal = {The American Statistician},
volume = {72},
number = {1},
pages = {2-10},
DOI = {10.1080/00031305.2017.1375989},
url = {http://www.tandfonline.com/doi/full/10.1080/00031305.2017.1375989}
}
@misc{Bryan_sanesheets_2016,
title = {sanesheets},
author = {Jenny Bryan},
year = {2016},
urldate = {2016-09-14},
url = {https://github.com/jennybc/sanesheets}
}
@misc{Bryan_spreadsheets_2016,
title = {spreadsheets},
author = {Jenny Bryan},
year = {2016},
urldate = {2016-06-25},
url = {https://github.com/jennybc/2016-06_spreadsheets}
}
@misc{Bryan_STAT545,
title = {STAT 545},
author = {Jenny Bryan and {The STAT 545 TAs}},
year = {2019},
urldate = {2019-10-14},
url = {https://stat545.com/}
}
@misc{Conway_Venn_2010,
title = {The Data Science {Venn} Diagram},
author = {Drew Conway},
year = {2010},
publisher = {drewconway.com},
url = {http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram},
urldate = {2018-09-30},
note = {Accessed: 2020-07-04}
}
@Book{Criado_Perez_2019,
title = {Invisible Women: Data Bias in a World Designed for Men},
author = {Caroline Criado Perez},
publisher = {Abrams Press},
year = {2019},
isbn = {ISBN 978-1-4197-2907-2},
}
@Book{Cunningham_mixtape,
title = {Causal Inference: The Mixtape},
author = {Scott Cunningham},
publisher = {Yale University Press},
year = {2021},
isbn = {ISBN 9780300251685},
url = {https://mixtape.scunning.com/}
}
@article{DAgostinoMcGowan_Peng_Hicks_2022,
author = {Lucy {D’Agostino McGowan} and Roger D. Peng and Stephanie C. Hicks},
title = {Design Principles for Data Analysis},
journal = {Journal of Computational and Graphical Statistics},
volume = {0},
number = {0},
pages = {1-8},
year = {2022},
publisher = {Taylor & Francis},
doi = {10.1080/10618600.2022.2104290},
URL = {
https://doi.org/10.1080/10618600.2022.2104290
},
eprint = {
https://doi.org/10.1080/10618600.2022.2104290
}
}
@Book{Davenport_Harris_2007,
title = {Competing on Analytics: The New Science of Winning},
author = {Thomas H. Davenport and
Jeanne G. Harris},
publisher = {Harvard Business School Press},
year = {2007},
isbn = {ISBN 978-1-4221-0332-6}
}
@techreport{De_Jonge_van_der_Loo_2013,
title = {An introduction to data cleaning with {R}},
author = {Mark van der Loo and
Edwin de Jonge},
institution = {{Statistics Netherlands}},
year = {2013},
url = {https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf},
}
@Book{Dodge_encyclopedia_2008,
title = {The Concise Encyclopedia of Statistics},
author = {Yadolah Dodge},
publisher = {Springer},
year = {2007},
isbn = {ISBN 978-0-387-32833-1}
}
@techreport{EBC_Annual_201718,
title = {Annual Report 2017/18 and Service Plan 2018/19 - 2020/21},
author = {{Elections BC}},
year = {2018},
institution = {{Elections BC}},
url = {https://elections.bc.ca/docs/rpt/AR1718SP1821.pdf},
note = {Accessed on 2020-08-01}
}
@Book{ElEmam_Arbuckle_2013,
title = {Anonymizing Health Data},
author = {Khaled El Emam and Luk Arbuckle},
publisher = {O'Reilly},
year = {2013},
isbn = {ISBN 9781449363079},
url = {https://www.oreilly.com/library/view/anonymizing-health-data/9781449363062/}
}
@article{Ellis_Leek_2017,
title = {How to Share Data for Collaboration},
author = {Sharon E. Ellis and Jeffrey T. Leek},
year = {2017},
journal = {The American Statistician},
volume = {72},
number = {1},
pages = {53-57},
DOI = {10.1080/00031305.2017.1375987},
url = {https://doi.org/10.1080/00031305.2017.1375987}
}
@techreport{Eurostat_prodcom_2023,
title = {European business statistics user’s manual for {PRODCOM}},
edition = {2023},
author = {{EUROSTAT PRODCOM team}},
institution = {{Eurostat}},
year = {2022},
url = {https://ec.europa.eu/eurostat/documents/3859598/16130157/KS-GQ-22-014-EN-N.pdf/3751d778-9c44-2f51-0b20-49a1fd053f04?version=2.0&t=1676566349800},
doi = {doi:10.2785/39767},
note = {Accessed: 2023-06-12}
}
@misc{Ford_lubridate_2017,
author = {Clay Ford},
title = {Working with dates and time in {R} using the lubridate package},
year = {2017},
publisher = {University of Virginia Library. Research Data Services + Sciences.},
url = {https://data.library.virginia.edu/working-with-dates-and-time-in-r-using-the-lubridate-package/},
note = {Accessed: 2020-07-01}
}
@Book{Friendly_Meyer_2016,
title = {Discrete Data Analysis with {R}: Visualization and Modeling Techniques for Categorical and Count Data},
author = {Michael Friendly and
David Meyer},
publisher = {CRC Press},
year = {2016},
isbn = {ISBN 978-1-4987-2583-5},
}
@Book{Gandrud_2015,
title = {Reproducible Research with {R} and RStudio},
edition = {2},
author = {Christopher Gandrud},
publisher = {Chapman and Hall/CRC},
year = {2015},
isbn = {ISBN 9781498715379}
}
@Book{Gelman_Hill_2007,
title = {Data Analysis Using Regression and Multilevel/Hierarchical Models},
author = {Andrew Gelman and Jennifer Hill},
publisher = {CRC Press},
year = {2007},
isbn = {ISBN 978-0-521-86706-1}
}
@Book{Gelman_etal_2014,
title = {Bayesian Data Analysis},
edition = {3rd},
author = {Andrew Gelman and John B. Carlin and
Hal S. Stern and David B. Dunson and
Aki Vehtari and Donald B. Rubin},
publisher = {CRC Press},
year = {2014},
isbn = {ISBN 978-1-4398-4095-5}
}
@techreport{Greve_Clean_data,
title = {A Beginner's Guide to Clean Data},
author = {Benjamin Greve},
year = {2019},
url = {https://b-greve.gitbook.io/beginners-guide-to-clean-data/},
}
@Book{Hermans_programmers_brain_2021,
title = {The Programmer's Brain: What every programmer needs to know about cognition},
author = {Felienne Hermans},
publisher = {Manning},
year = {2021},
isbn = {ISBN 9781617298677}
}
@article{Holbrook_Green_Krosnick_2003,
title = {Telephone versus Face-to-Face Interviewing of National Probability Samples with Long Questionnaires: Comparisons of Respondent Satisficing and Social Desirability Response Bias},
author = {Allyson L. Holbrook and Melanie C. Green and Jon A. Krosnick},
year = {2003},
journal = {Public Opinion Quarterly},
volume = {67},
number = {1},
pages = {79-125},
DOI = {10.1086/346010},
url = {https://doi.org/10.1086/346010}
}
@article{Horst_Presmanes_Hill_Gorman_2022,
title = {{Palmer Archipelago Penguins Data in the palmerpenguins R Package - An Alternative to Anderson’s Irises}},
author = {Allison M. Horst and Alison Presmanes Hill and Kristen B. Gorman},
year = {2022},
journal = {The R Journal},
volume = {14},
number = {1},
pages = {244-254},
DOI = {10.32614/RJ-2022-020},
url = {https://journal.r-project.org/articles/RJ-2022-020}
}
@incollection{Hubbard_data_cleaning_2017,
title = {Data Cleaning in Mathematics Education Research: The Overlooked Methodological Step},
author = {Aleata Hubbard},
pages = {129–140},
booktitle = {Proceedings of the 20th Annual Conference on Research in Undergraduate Mathematics Education},
editor = {A. Weinberg and C. Rasmussen and J. Rabin and
M. Wawro and S. Brown},
year = {2017}
}
@misc{Hudon_data_dictionary_2018,
author = {Caitlin Hudon},
title = {Field Notes: Building Data Dictionaries},
year = {2018},
date = {2018-10-30},
url = {https://caitlinhudon.com/2018/10/30/data-dictionaries/},
note = {Accessed: 2023-06-13}
}
@Book{Hundepool_etal_2012,
title = {Statistical Disclosure Control},
author = {Anco Hundepool and Josep Domingo-Ferrer and Luisa Franconi and
Sarah Giessing and Eric Schulte Nordholt and Keith Spicer and
Peter-Paul de Wolf},
publisher = {Wiley},
series = {Wiley Series in Survey Methodology},
year = {2012},
isbn = {ISBN: 978-0-470-37308-8},
url = {http://ca.wiley.com/WileyCDA/WileyTitle/productCd-1119978157.html},
}
@Article{Hyndman_Khandakar_2008,
title = {Automatic time series forecasting: the forecast package for {R}},
author = {Rob J Hyndman and Yeasmin Khandakar},
journal = {Journal of Statistical Software},
volume = {26},
number = {3},
pages = {1--22},
year = {2008},
doi = {10.18637/jss.v027.i03},
}
@Book{Hyndman_Athanasopoulos_2021,
title = {Forecasting: Principles and Practice},
edition = {3rd},
author = {Rob J Hyndman and George Athanasopoulos},
publisher = {OTexts},
year = {2021},
url = {https://otexts.com/fpp3/}
}
@Book{Huxley_cleaning_2020,
title = {Data Cleaning},
author = {Katy Huxley},
series = {SAGE Research Methods Foundations},
publisher = {SAGE Publications},
year = {2020},
doi = {10.4135/9781526421036842861}
}
@Article{Khreis_etal_2022,
title = {{Evaluating the Performance of Low-Cost Air Quality Monitors in Dallas, Texas}},
author = {H Khreis and J Johnson and K Jack and B Dadashova and ES Park},
journal = {Int J Environ Res Public Health},
volume = {19},
number = {3},
pages = {1647},
year = {2008},
doi = {10.3390/ijerph19031647},
}
@book{Knuth_literate_programming_1992,
author = {Knuth, Donald Ervin},
publisher = {Center for the Study of Language and Information},
series = {CSLI lecture notes ; no. 27},
title = {Literate programming },
address = {Stanford, Calif},
booktitle = {Literate programming},
year = {1992},
isbn = {0937073806},
keywords = {Computer programming},
language = {eng},
lccn = {91039510},
}
@Book{Kuhn_Silge_2022,
author = {Max Kuhn and
Julia Silge},
title = {Tidy Modeling with {R}},
publisher = {O'Reilly Media},
year = {2022},
isbn = {9781492096481},
url = {https://https://www.tmwr.org/},
}
@inproceedings{Kundra_2010,
author = {Vitek Kundra},
title = {Testimony of Vitek Kundra},
publisher = {United States. Senate. One Hundred Eleventh Congress. Committee on Homeland Security and Governmental Affairs. Federal Financial Management, Government Information, Federal Services, and International Security Subcommittee},
booktitle = {Removing the Shroud of Secrecy: Making Government More Transparent and Accountable—Parts I and {II}, March 23, 2010},
url = {https://www.govinfo.gov/content/pkg/CHRG-111shrg56893/html/CHRG-111shrg56893.htm},
year = {2010}
}
@Article{Lee_ten_simple_rules_2018,
author = {Benjamin D. Lee},
title = {Ten simple rules for documenting scientific software},
journal = {PLoS Computational Biology},
volume = {14},
number = {12},
year = {2018},
doi = {10.1371/journal.pcbi.1006561},
url = {https://doi.org/10.1371/journal.pcbi.1006561}
}
@article{Li_Qin_2017,
author = {Li, Xiao-Bai and Qin, Jialun},
title = {Anonymizing and Sharing Medical Text Records},
journal = {Information Systems Research},
volume = {28},
number = {2},
pages = {332-352},
year = {2017},
doi = {10.1287/isre.2016.0676},
URL = {
https://doi.org/10.1287/isre.2016.0676
},
eprint = {
https://doi.org/10.1287/isre.2016.0676
}
,
abstract = { Health information technology has increased accessibility of health and medical data and benefited medical research and healthcare management. However, there are rising concerns about patient privacy in sharing medical and healthcare data. A large amount of these data are in free text form. Existing techniques for privacy-preserving data sharing deal largely with structured data. Current privacy approaches for medical text data focus on detection and removal of patient identifiers from the data, which may be inadequate for protecting privacy or preserving data quality. We propose a new systematic approach to extract, cluster, and anonymize medical text records. Our approach integrates methods developed in both data privacy and health informatics fields. The key novel elements of our approach include a recursive partitioning method to cluster medical text records based on the similarity of the health and medical information and a value-enumeration method to anonymize potentially identifying information in the text data. An experimental study is conducted using real-world medical documents. The results of the experiments demonstrate the effectiveness of the proposed approach. }
}
@inproceedings{Ligon_1996,
author = {Glynn D. Ligon},
title = {Data Quality: Earning the Confidence of Decision Makers},
booktitle = {Paper presented at the Annual Meeting of the American Educational Research Association},
year = {1996},
address = {New York, NY},
url = {https://eric.ed.gov/?id=ED400301}
}
@techreport{Ligon_2007,
author = {Glynn D. Ligon},
title = {The Data Quality Manual},
year = {2007},
series = {Data Quality Series},
part = {2},
institution = {ESP Solutions Group}
}
@techreport{Ligon_2015,
author = {Glynn D. Ligon},
title = {The Data Quality Imperative},
year = {2015},
series = {Data Quality Series},
part = {1},
institution = {ESP Solutions Group}
}
@book{Little_Rubin_2020,
abstract = {AN UP-TO-DATE, COMPREHENSIVE TREATMENT OF A CLASSIC TEXT ON MISSING DATA IN STATISTICS The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems. Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics. An updated "classic" written by renowned authorities on the subject Features over 150 exercises (including many new ones) Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods Revises previous topics based on past student feedback and class experience Contains an updated and expanded bibliography Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.},
author = {Little, Roderick J. A.},
address = {Hoboken, NJ},
booktitle = {Statistical analysis with missing data},
edition = {3rd},
isbn = {1-119-48226-7},
keywords = {Mathematical statistics},
language = {eng},
publisher = {Wiley},
series = {Wiley series in probability and statistics},
title = {Statistical analysis with missing data },
year = {2020},
}
@Book{Long_Teetor_2019,
title = {R Cookbook},
edition = {2},
author = {James (JD) Long and Paul Teetor},
publisher = {O'Reilly},
year = {2019},
isbn = {ISBN 978-1492040682},
url = {https://rc2e.com/},
}
@article{Marwick_etal_2018,
title = {Packaging Data Analytical Work Reproducibly Using {R} (and Friends)},
author = {Ben Marwick and Carl Boettiger and Lincoln Mullen},
year = {2018},
journal = {The American Statistician},
volume = {72},
number = {1},
pages = {80–88},
DOI = {10.1080/00031305.2017.1375986},
url = { https://doi.org/10.1080/00031305.2017.1375986}
}
@article {Matthews_etal_2017,
author = {Gregory J. Matthews and Pétala Gardênia da Silva Estrela Tuy and Robert K. Arthur},
title = {An examination of statistical disclosure issues related to publication of aggregate statistics in the presence of a known subset of the dataset using Baseball Hall of Fame ballots},
journal = {Journal of Quantitative Analysis in Sports},
year = {2017},
publisher = {De Gruyter},
address = {Berlin, Boston},
volume = {13},
number = {1},
doi = {https://doi.org/10.1515/jqas-2016-0085},
pages= {1 - 10},
url = {https://www.degruyter.com/view/journals/jqas/13/1/article-p1.xml}
}
@misc{Monkman_bird_2019,
author = {Martin Monkman},
title = {Same name, different bird},
year = {2019},
url = {https://martinmonkman.com/post/2019-06-02_same-name/},
note = {Accessed: 2020-05-19}
}
@incollection{Murrell_consumption,
title = {Data Intended for Human Consumption, Not Machine Consumption},
author = {Paul Murrell},
chapter = {3},
pages = {31–51},
booktitle = {Bad Data Handbook},
editor = {Q. Ethan McCallum},
year = {2013},
isbn = {ISBN: 978-1-449-32188-8},
publisher = {O'Reilly}
}
@book{Murrell_data_technologies,
title = {Introduction to Data Technologies},
author = {Paul Murrell},
year = {2009},
isbn = {ISBN: 9781420065183},
publisher = {Chapman and Hall/CRC}
}
@Book{Navarro_learning_statistics_2019,
title = {Learning statistics with R: A tutorial for psychology students and other beginners},
author = {Danielle Navarro},
year = {2019},
publisher = {self-published},
version = {0.6.1},
url = {https://learningstatisticswithr.com/book/},
note = {Accessed: 2021-04-16}
}
@Book{Nield_2016,
author = {Thomas Nield},
title = {Getting Started with SQL: A Hands-On Approach for Beginners},
publisher = {O'Reilly Media},
year = {2016},
isbn = {978-1-491-93861-4}
}
@Book{OECD_glossary_2007,
title = {Glossary of Statistical Terms},
author = {OECD},
publisher = {Organisation for Economic Co-operation and Development},
year = {2007},
isbn = {ISBN 978-92-64-025561},
url = {https://stats.oecd.org/glossary/}
}
@article{Parker_2017,
title = {Opinionated analysis development},
author = {Hilary Parker},
year = {2017},
journal = {PeerJ Preprints},
volume = {3210v1},
DOI = {10.7287/peerj.preprints.3210v1},
url = {https://peerj.com/preprints/3210v1/}
}
@article{Peng_reproducible_2011,
title = {Reproducible Research in Computational Science},
author = {Roger D. Peng},
year = {2011},
journal = {Science},
series = {New Series},
volume = {334},
issue = {6060},
pages = {1226-1227},
DOI = {10.1126/science.1213847},
note = {2011-12-02}
}
@article{Polonsky_etal_2019,
title = {Outbreak analytics: a developing data science for informing the response to emerging pathogens},
author = {Jonathan A. Polonsky and Amrish Baidjoe and Zhian N. Kamvar and Anne Cori and
Kara Durski and John W. Edmunds and Rosalind M. Eggo and Sebastian Funk and
Laurent Kaiser and Patrick Keating and Olivier le Polain de Waroux and Michael Marks
and Paula Moraga and Oliver Morgan and Pierre Nouvellet and Ruwan Ratnayake
and Chrissy H. Roberts and Jimmy Whitworth and Thibaut Jombart},
year = {2019},
note = {2019-05-20},
journal = {Philosophical Transactions of the Royal Society B},
volume = {374},
issue = {1176},
pages = {20180276},
DOI = {10.1098/rstb.2018.0276},
url = {https://royalsocietypublishing.org/doi/10.1098/rstb.2018.0276}
}
@techreport{Research_Data_readme,
title = {Guide to writing "readme" style metadata},
author = {{Research Data Management Service Group}},
institution = {{Cornell University}},
year = {2021},
urldate = {},
url = {https://data.research.cornell.edu/content/readme},
note = {Accessed: 2021-10-12}
}
@misc{Richmond_age_2018,
title = {Calculating age},
author = {Jen Richmond},
publisher = {http://jenrichmond.rbind.io},
year = {2018},
url = {http://jenrichmond.rbind.io/post/calculating-age/},
note = {Accessed: 2020-07-04}
}
@incollection{Riederer_names_2021,
author={Emily Riederer},
year={2021},
title={Column Names as Contracts},
booktitle={97 Things Every Data Engineer Should Know},
editor={Tobias Macey},
chapter={13},
publisher={O'Reilly Media, Inc.},
isbn={9781492062417}
}
@misc{Smith_reproducible_2017,
author = {David Smith},
title = {Reproducible Data Science with {R}},
year = {2017},
url = {https://blog.revolutionanalytics.com/2017/04/reproducible-data-science-with-r.html},
note = {Accessed: 2020-05-18}
}
@incollection{St-Pierre_Beland_2004,
title = {{Mode effects in the Canadian Community Health Survey: A comparison of CAPI and CATI}},
author = {M. St-Pierre and Y. Béland},
booktitle = {Proceedings of the American Statistical Association Meeting, Survey Research Methods},
year = {2004}
}
@techreport{StatCan_age_of_person,
title = {Age of person},
author = {{Statistics Canada}},
institution = {{Statistics Canada}},
year = {2007},
urldate = {2020-01-08},
url = {https://www23.statcan.gc.ca/imdb/p3Var.pl?Function=DEC&Id=25363},
note = {Accessed: 2020-08-30}
}
@techreport{StatCan_data_quality_6,
title = {{Statistics Canada Quality Guidelines}},
edition = {Sixth},
number = {12-539-X},
author = {{Statistics Canada}},
publisher = {Statistics Canada},
year = {2019},
urldate = {2019-12-04},
url = {https://www150.statcan.gc.ca/n1/pub/12-539-x/12-539-x2019001-eng.htm},
note = {Accessed: 2020-08-24}
}
@techreport{StatCan_definitions,
title = {Definitions, data sources and methods},
author = {{Statistics Canada}},
institution = {{Statistics Canada}},
year = {2020},
urldate = {2020-06-05},
url = {https://www.statcan.gc.ca/eng/concepts/index},
note = {Accessed: 2020-07-30}
}
@techreport{StatCan_NAICS,
title = {{North American industry classification system (NAICS) Canada 2022}},
edition = {2022, Version 1.0},
author = {{Statistics Canada}},
institution = {{Statistics Canada}},
catalog = {12-501-X},
year = {2022},
urldate = {2023-03-08},
url = {https://www.statcan.gc.ca/en/subjects/standard/naics/2022/v1/index},
note = {Accessed: 2023-03-08}
}
@techreport{StatCan_NTS_2020,
title = {National Travel Survey microdata file},
author = {{Statistics Canada}},
institution = {{Statistics Canada}},
year = {2021},
urldate = {2021-01-11},
url = {https://www23.statcan.gc.ca/imdb/p3Var.pl?Function=DEC&Id=25363},
doi = {10.25318/24250001},
note = {Accessed: 2022-07-18}
}
@misc{stitchfix_algo,
title = {Algorithms Tour: How data science is woven into the fabric of Stitch Fix},
author = {Eric Colson and Brian Coffey and Tarek Rached and Liz Cruz},
publisher = {Stitch Fix},
year = {2017},
url = {https://algorithms-tour.stitchfix.com/},
note = {Accessed: 2020-07-09}
}
@article{Suits_1957,
author = { Daniel B. Suits },
title = {Use of Dummy Variables in Regression Equations},
journal = {Journal of the American Statistical Association},
volume = {52},
number = {280},
pages = {548-551},
year = {1957},
publisher = {Taylor & Francis},
doi = {10.1080/01621459.1957.10501412},
URL = {https://www.tandfonline.com/doi/abs/10.1080/01621459.1957.10501412},
eprint = {https://www.tandfonline.com/doi/pdf/10.1080/01621459.1957.10501412}
}
@incollection{Sweeney_2001,
author = {Latanya Sweeney},
title = {Information Explosion},
editor = {L. Zayatz and
P. Doyle and
J. Theeuwes and
J. Lane},
booktitle = {Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agencies},
publisher = {Urban Institute},
address = {Washington, D.C.},
year = {2001},
pages = {26},
url = {https://dataprivacylab.org/projects/explosion/index.html},
}
@article{Sweeney_etal_2018,
url = {https://techscience.org/a/2018111301/},
year = {2018},
date = {2018-11-13},
author = {Latanya Sweeney and
Michael von Loewenfeldt and
Melissa Perry},
title = {Saying it’s Anonymous Doesn't Make It So: Re-identifications of “anonymized” law school data},
journal = {{Technology Science}}
}
@Book{Tukey_1977,
author = {John W. Tukey},
title = {Exploratory Data Analysis},
publisher = {Addison-Wesley},
year = {1977},
isbn = {0-201-07616-0},
}
@techreport{UNSD_classifications,
title = {Statistical Classifications},
author = {{United Nations Statistics Division}},
institution = {United Nations},
year = {2020},
url = {https://unstats.un.org/unsd/classifications/},
note = {Accessed: 2020-09-07}
}
@techreport{US_NAICS_2022,
title = {{North American industry classification system : United States, 2022}},
author = {{Executive Office of the President, Office of Management and Budget}},
institution = {{US Census Bureau}},
year = {2022},
urldate = {2023-03-07},
url = {https://www.census.gov/naics/reference_files_tools/2022_NAICS_Manual.pdf},
note = {Accessed: 2023-03-07}
}
@Book{Van_der_Loo_de_Jonge_2018,
title = {Statistical Data Cleaning with Applications in {R}},
author = {Mark van der Loo and
Edwin de Jonge},
publisher = {Wiley},
year = {2018},
isbn = {ISBN: 978-1-118-89715-7},
url = {https://onlinelibrary.wiley.com/doi/book/10.1002/9781118897126},
}
@article{van2021data,
title={Data validation infrastructure for {R}},
author={van der Loo, Mark PJ and de Jonge, Edwin},
journal={Journal of Statistical Software},
year={2021},
volume ={97},
issue = {10},
pages = {1-33},
doi={10.18637/jss.v097.i10},
url = {https://www.jstatsoft.org/article/view/v097i10}
}