AnalyticalWorkflows.bib

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@article{Nunez:2018aa,
	author = {Nu{\~n}ez, Jamie R. and Anderton, Christopher R. and Renslow, Ryan S.},
	date = {2018/08/01},
	date-added = {2020-12-07 13:33:55 -0800},
	date-modified = {2020-12-07 13:33:55 -0800},
	journal = {PLOS ONE},
	journal1 = {PLOS ONE},
	m3 = {doi:10.1371/journal.pone.0199239},
	month = {08},
	n2 = {Color vision deficiency (CVD) affects more than 4{\%} of the population and leads to a different visual perception of colors. Though this has been known for decades, colormaps with many colors across the visual spectra are often used to represent data, leading to the potential for misinterpretation or difficulty with interpretation by someone with this deficiency. Until the creation of the module presented here, there were no colormaps mathematically optimized for CVD using modern color appearance models. While there have been some attempts to make aesthetically pleasing or subjectively tolerable colormaps for those with CVD, our goal was to make optimized colormaps for the most accurate perception of scientific data by as many viewers as possible. We developed a Python module, cmaputil, to create CVD-optimized colormaps, which imports colormaps and modifies them to be perceptually uniform in CVD-safe colorspace while linearizing and maximizing the brightness range. The module is made available to the science community to enable others to easily create their own CVD-optimized colormaps. Here, we present an example CVD-optimized colormap created with this module that is optimized for viewing by those without a CVD as well as those with red-green colorblindness. This colormap, cividis, enables nearly-identical visual-data interpretation to both groups, is perceptually uniform in hue and brightness, and increases in brightness linearly.},
	number = {7},
	pages = {e0199239--},
	publisher = {Public Library of Science},
	title = {Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data},
	ty = {JOUR},
	url = {https://doi.org/10.1371/journal.pone.0199239},
	volume = {13},
	year = {2018},
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@article{Hart:2016aa,
	author = {Hart, Edmund M. and Barmby, Pauline and LeBauer, David and Michonneau, Fran{\c c}ois and Mount, Sarah and Mulrooney, Patrick and Poisot, Timoth{\'e}e and Woo, Kara H. and Zimmerman, Naupaka B. and Hollister, Jeffrey W.},
	date = {2016/10/20},
	date-added = {2020-11-21 09:00:58 -0800},
	date-modified = {2020-11-21 09:01:00 -0800},
	journal = {PLOS Computational Biology},
	journal1 = {PLOS Computational Biology},
	m3 = {doi:10.1371/journal.pcbi.1005097},
	month = {10},
	number = {10},
	pages = {e1005097--},
	publisher = {Public Library of Science},
	title = {Ten Simple Rules for Digital Data Storage},
	ty = {JOUR},
	url = {https://doi.org/10.1371/journal.pcbi.1005097},
	volume = {12},
	year = {2016},
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	Bdsk-Url-1 = {https://doi.org/10.1371/journal.pcbi.1005097}}

@article{Kelleher:2011aa,
	author = {Christa Kelleher and Thorsten Wagener},
	date-added = {2020-10-21 11:36:21 -0700},
	date-modified = {2020-10-21 11:36:22 -0700},
	doi = {10.1016/j.envsoft.2010.12.006},
	journal = {Environmental Modelling {\&} Software},
	month = {jun},
	number = {6},
	pages = {822--827},
	publisher = {Elsevier {BV}},
	title = {Ten guidelines for effective data visualization in scientific publications},
	url = {https://doi.org/10.1016%2Fj.envsoft.2010.12.006},
	volume = {26},
	year = 2011,
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@article{Weissgerber:2019aa,
	author = {Tracey L. Weissgerber and Stacey J. Winham and Ethan P. Heinzen and Jelena S. Milin-Lazovic and Oscar Garcia-Valencia and Zoran Bukumiric and Marko D. Savic and Vesna D. Garovic and Natasa M. Milic},
	date-added = {2020-10-21 11:34:31 -0700},
	date-modified = {2020-10-21 11:34:32 -0700},
	doi = {10.1161/circulationaha.118.037777},
	journal = {Circulation},
	month = {oct},
	number = {18},
	pages = {1506--1518},
	publisher = {Ovid Technologies (Wolters Kluwer Health)},
	title = {Reveal, Don't Conceal},
	url = {https://doi.org/10.1161%2Fcirculationaha.118.037777},
	volume = {140},
	year = 2019,
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@incollection{Allesina:2015aa,
	author = {Stefano Allesina},
	booktitle = {Introduction to Scientific Computing},
	date-added = {2020-10-17 19:56:09 -0700},
	date-modified = {2020-10-17 19:56:55 -0700},
	title = {Scientific typesetting},
	year = {2015},
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@article{Larson:2017aa,
	abstract = {This study examines how scientists respond to visual design in scientific communications. Specifically, we determine the impact of visual design on the Graphical Abstract (GA), an overview figure that attracts potential readers and visually summarizes what a paper is about. We show that GAs designed in accordance with classic visual design principles significantly enhance readers' first impressions of a paper. Well-designed GAs make papers seem more interesting, more clearly written and more scientifically rigorous. These results confirm that visual design enhances rather than detracts from the perception of intellectual and scientific competence.},
	author = {Larson, Kevin and Cheng, Karen and Chen, Yeechi and Rolandi, Marco},
	date-added = {2020-10-17 16:52:12 -0700},
	date-modified = {2020-10-17 16:52:13 -0700},
	doi = {https://doi.org/10.1075/idj.23.1.09che},
	issn = {0142-5471},
	journal = {Information Design Journal},
	keywords = {information graphics},
	number = {1},
	pages = {80-95},
	publisher = {John Benjamins},
	title = {Proving the value of visual design in scientific communication},
	type = {Journal Article},
	url = {https://www.jbe-platform.com/content/journals/10.1075/idj.23.1.09che},
	volume = {23},
	year = {2017},
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	Bdsk-Url-1 = {https://www.jbe-platform.com/content/journals/10.1075/idj.23.1.09che},
	Bdsk-Url-2 = {https://doi.org/10.1075/idj.23.1.09che}}

@article{Rolandi:2011aa,
	author = {Marco Rolandi and Karen Cheng and Sarah P{\'{e}}rez-Kriz},
	date-added = {2020-10-17 16:38:21 -0700},
	date-modified = {2020-10-17 16:38:23 -0700},
	doi = {10.1002/adma.201102518},
	journal = {Advanced Materials},
	month = {aug},
	number = {38},
	pages = {4343--4346},
	publisher = {Wiley},
	title = {A Brief Guide to Designing Effective Figures for the Scientific Paper},
	url = {https://doi.org/10.1002%2Fadma.201102518},
	volume = {23},
	year = 2011,
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@article{White:2013aa,
	author = {White, Ethan and Baldridge, Elita and Brym, Zachary and Locey, Kenneth and McGlinn, Daniel and Supp, Sarah},
	date-added = {2020-09-11 18:46:25 -0700},
	date-modified = {2020-09-11 18:46:28 -0700},
	doi = {10.4033/iee.2013.6b.6.f},
	issn = {1918-3178},
	journal = {Ideas in Ecology and Evolution},
	number = {2},
	publisher = {Queen's University Library},
	title = {Nine simple ways to make it easier to (re)use your data},
	url = {http://dx.doi.org/10.4033/iee.2013.6b.6.f},
	volume = {6},
	year = {2013},
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@article{Noble:2009aa,
	author = {Noble, William Stafford},
	date-added = {2020-09-11 18:42:29 -0700},
	date-modified = {2020-09-11 18:42:29 -0700},
	doi = {10.1371/journal.pcbi.1000424},
	journal = {PLOS Computational Biology},
	month = {07},
	number = {7},
	pages = {1-5},
	publisher = {Public Library of Science},
	title = {A Quick Guide to Organizing Computational Biology Projects},
	url = {https://doi.org/10.1371/journal.pcbi.1000424},
	volume = {5},
	year = {2009},
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	Bdsk-Url-1 = {https://doi.org/10.1371/journal.pcbi.1000424}}

@article{Wilson:2014aa,
	author = {Wilson, Greg and Aruliah, D. A. and Brown, C. Titus and Chue Hong, Neil P. and Davis, Matt and Guy, Richard T. and Haddock, Steven H. D. and Huff, Kathryn D. and Mitchell, Ian M. and Plumbley, Mark D. and et al.},
	date-added = {2020-09-10 19:16:37 -0700},
	date-modified = {2020-09-10 19:16:40 -0700},
	doi = {10.1371/journal.pbio.1001745},
	editor = {Eisen, Jonathan A.Editor},
	issn = {1545-7885},
	journal = {PLoS Biology},
	month = {Jan},
	number = {1},
	pages = {e1001745},
	publisher = {Public Library of Science (PLoS)},
	title = {Best Practices for Scientific Computing},
	url = {http://dx.doi.org/10.1371/journal.pbio.1001745},
	volume = {12},
	year = {2014},
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@article{Perkel:2019aa,
	author = {Jeffrey M. Perkel},
	date-added = {2020-09-08 11:53:39 -0700},
	date-modified = {2020-09-08 11:54:11 -0700},
	journal = {Nature},
	pages = {131-132},
	title = {Ways to avoid a data-storage disaster},
	volume = {568},
	year = {2019},
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@article{Perkel:2020ab,
	author = {Jeffrey M. Perkel},
	date-added = {2020-09-08 11:52:32 -0700},
	date-modified = {2020-09-08 11:53:06 -0700},
	journal = {Nature},
	pages = {149-150},
	title = {The collaborative reference library},
	volume = {585},
	year = {2020},
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@article{Perkel:2020aa,
	author = {Jeffrey M. Perkel},
	date-added = {2020-09-08 11:51:34 -0700},
	date-modified = {2020-09-08 11:52:14 -0700},
	journal = {Nature},
	pages = {656-658},
	title = {The digital archaeologists},
	volume = {584},
	year = {2020},
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@article{Nowogrodzki:2020aa,
	author = {Anna Nowogrodzki},
	date-added = {2020-09-08 11:50:27 -0700},
	date-modified = {2020-09-08 11:51:06 -0700},
	journal = {Nature},
	pages = {439-440},
	title = {Eleven tips for working with large data sets},
	volume = {577},
	year = {2020},
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@article{Bryan:2018aa,
	author = {Bryan, Jennifer},
	date-added = {2020-09-08 09:34:39 -0700},
	date-modified = {2020-09-08 09:34:40 -0700},
	journal = {The American Statistician},
	number = {1},
	pages = {20--27},
	publisher = {Taylor \& Francis},
	title = {Excuse me, do you have a moment to talk about version control?},
	volume = {72},
	year = {2018},
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@article{Wilson:2017aa,
	abstract = {Author summary Computers are now essential in all branches of science, but most researchers are never taught the equivalent of basic lab skills for research computing. As a result, data can get lost, analyses can take much longer than necessary, and researchers are limited in how effectively they can work with software and data. Computing workflows need to follow the same practices as lab projects and notebooks, with organized data, documented steps, and the project structured for reproducibility, but researchers new to computing often don't know where to start. This paper presents a set of good computing practices that every researcher can adopt, regardless of their current level of computational skill. These practices, which encompass data management, programming, collaborating with colleagues, organizing projects, tracking work, and writing manuscripts, are drawn from a wide variety of published sources from our daily lives and from our work with volunteer organizations that have delivered workshops to over 11,000 people since 2010.},
	author = {Wilson, Greg AND Bryan, Jennifer AND Cranston, Karen AND Kitzes, Justin AND Nederbragt, Lex AND Teal, Tracy K.},
	date-added = {2020-09-08 09:33:00 -0700},
	date-modified = {2020-09-08 09:33:02 -0700},
	doi = {10.1371/journal.pcbi.1005510},
	journal = {PLOS Computational Biology},
	month = {06},
	number = {6},
	pages = {1-20},
	publisher = {Public Library of Science},
	title = {Good enough practices in scientific computing},
	url = {https://doi.org/10.1371/journal.pcbi.1005510},
	volume = {13},
	year = {2017},
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	Bdsk-Url-1 = {https://doi.org/10.1371/journal.pcbi.1005510}}

@techreport{Ross:2017aa,
	author = {Ross, Zev and Wickham, Hadley and Robinson, David},
	date-added = {2020-09-08 09:31:48 -0700},
	date-modified = {2020-09-08 09:31:49 -0700},
	institution = {PeerJ Preprints},
	title = {Declutter your R workflow with tidy tools},
	year = {2017},
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@article{McKiernan:2016aa,
	author = {McKiernan, Erin C and Bourne, Philip E and Brown, C Titus and Buck, Stuart and Kenall, Amye and Lin, Jennifer and McDougall, Damon and Nosek, Brian A and Ram, Karthik and Soderberg, Courtney K and others},
	date-added = {2020-09-08 09:30:48 -0700},
	date-modified = {2020-09-08 09:30:49 -0700},
	journal = {elife},
	pages = {e16800},
	publisher = {eLife Sciences Publications Limited},
	title = {Point of view: How open science helps researchers succeed},
	volume = {5},
	year = {2016},
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@article{Broman:2018aa,
	author = {Karl W. Broman and Kara H. Woo},
	date-added = {2020-09-08 09:29:07 -0700},
	date-modified = {2020-09-08 09:29:09 -0700},
	doi = {10.1080/00031305.2017.1375989},
	eprint = {https://doi.org/10.1080/00031305.2017.1375989},
	journal = {The American Statistician},
	number = {1},
	pages = {2-10},
	publisher = {Taylor & Francis},
	title = {Data Organization in Spreadsheets},
	url = {https://doi.org/10.1080/00031305.2017.1375989},
	volume = {72},
	year = {2018},
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	Bdsk-Url-1 = {https://doi.org/10.1080/00031305.2017.1375989}}

@article{Parker:2017aa,
	author = {Parker, Hilary},
	date-added = {2020-09-08 09:25:45 -0700},
	date-modified = {2020-09-08 09:26:08 -0700},
	journal = {PeerJ Preprints},
	pages = {e3210v1},
	publisher = {PeerJ Inc. San Francisco, USA},
	title = {Opinionated analysis development},
	volume = {5},
	year = {2017},
	Bdsk-File-1 = {YnBsaXN0MDDSAQIDBFxyZWxhdGl2ZVBhdGhZYWxpYXNEYXRhXxATcGRmcy9QYXJrZXIyMDE3LnBkZk8RAZQAAAAAAZQAAgAADE1hY2ludG9zaCBIRAAAAAAAAAAAAAAAAAAAAAAAAABCRAAB/////w5QYXJrZXIyMDE3LnBkZgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD/////AAAAAAAAAAAAAAAAAAEAAwAACiBjdQAAAAAAAAAAAAAAAAAEcGRmcwACAE8vOlVzZXJzOm1hcmtub3ZhazpHaXQ6VGVhY2hpbmc6QW5hbHl0aWNhbFdvcmtmbG93czpyZWFkaW5nczpwZGZzOlBhcmtlcjIwMTcucGRmAAAOAB4ADgBQAGEAcgBrAGUAcgAyADAAMQA3AC4AcABkAGYADwAaAAwATQBhAGMAaQBuAHQAbwBzAGgAIABIAEQAEgBNVXNlcnMvbWFya25vdmFrL0dpdC9UZWFjaGluZy9BbmFseXRpY2FsV29ya2Zsb3dzL3JlYWRpbmdzL3BkZnMvUGFya2VyMjAxNy5wZGYAABMAAS8AABUAAgAQ//8AAAAIAA0AGgAkADoAAAAAAAACAQAAAAAAAAAFAAAAAAAAAAAAAAAAAAAB0g==}}

@article{Marwick:2018aa,
	author = {Marwick, Ben and Boettiger, Carl and Mullen, Lincoln},
	date-added = {2020-09-08 09:23:33 -0700},
	date-modified = {2020-09-08 09:23:34 -0700},
	journal = {The American Statistician},
	number = {1},
	pages = {80--88},
	publisher = {Taylor \& Francis},
	title = {Packaging data analytical work reproducibly using R (and friends)},
	volume = {72},
	year = {2018},
	Bdsk-File-1 = {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}}

@article{Hampton:2017aa,
	author = {Hampton, Stephanie E. and Jones, Matthew B. and Wasser, Leah A. and Schildhauer, Mark P. and Supp, Sarah R. and Brun, Julien and Hernandez, Rebecca R. and Boettiger, Carl and Collins, Scott L. and Gross, Louis J. and et al.},
	date-added = {2020-09-08 09:17:04 -0700},
	date-modified = {2020-09-08 09:17:06 -0700},
	doi = {10.1093/biosci/bix025},
	issn = {1525-3244},
	journal = {BioScience},
	month = {May},
	number = {6},
	pages = {546--557},
	publisher = {Oxford University Press (OUP)},
	title = {Skills and Knowledge for Data-Intensive Environmental Research},
	url = {http://dx.doi.org/10.1093/biosci/bix025},
	volume = {67},
	year = {2017},
	Bdsk-File-1 = {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}}

@article{Sholler:2019aa,
	author = {Sholler, Dan and Stoudt, Sara and Kennedy, Chris J. and Hoces de la Guardia, Fernando and Lanusse, Francois and Ram, Karthik and Ottoboni, Kellie and Stuart, Marla and Vareth, Maryam and Varoquaux, Nelle and et al.},
	date-added = {2020-09-07 12:56:37 -0700},
	date-modified = {2020-09-08 09:26:25 -0700},
	doi = {10.31235/osf.io/qr8cz},
	month = {Mar},
	publisher = {Center for Open Science},
	title = {Resistance to Adoption of Best Practices},
	url = {http://dx.doi.org/10.31235/osf.io/qr8cz},
	year = {2019},
	Bdsk-File-1 = {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}}

@article{Blischak:2016aa,
	author = {Blischak, John D. and Davenport, Emily R. and Wilson, Greg},
	date-added = {2020-09-07 12:55:20 -0700},
	date-modified = {2020-09-08 09:26:35 -0700},
	doi = {10.1371/journal.pcbi.1004668},
	editor = {Ouellette, FrancisEditor},
	issn = {1553-7358},
	journal = {PLOS Computational Biology},
	month = {Jan},
	number = {1},
	pages = {e1004668},
	publisher = {Public Library of Science (PLoS)},
	title = {A Quick Introduction to Version Control with Git and GitHub},
	url = {http://dx.doi.org/10.1371/journal.pcbi.1004668},
	volume = {12},
	year = {2016},
	Bdsk-File-1 = {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}}

@article{Lowndes:2017aa,
	author = {Lowndes, Julia S. Stewart and Best, Benjamin D. and Scarborough, Courtney and Afflerbach, Jamie C. and Frazier, Melanie R. and O'Hara, Casey C. and Jiang, Ning and Halpern, Benjamin S.},
	date-added = {2020-09-07 12:54:50 -0700},
	date-modified = {2020-09-08 09:26:22 -0700},
	doi = {10.1038/s41559-017-0160},
	issn = {2397-334X},
	journal = {Nature Ecology \& Evolution},
	month = {May},
	number = {6},
	publisher = {Springer Science and Business Media LLC},
	title = {Our path to better science in less time using open data science tools},
	url = {http://dx.doi.org/10.1038/s41559-017-0160},
	volume = {1},
	year = {2017},
	Bdsk-File-1 = {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}}

@article{Shade:2015aa,
	author = {Shade, Ashley and Teal, Tracy K.},
	date-added = {2020-09-07 12:50:31 -0700},
	date-modified = {2020-09-08 09:26:28 -0700},
	doi = {10.1371/journal.pbio.1002303},
	issn = {1545-7885},
	journal = {PLOS Biology},
	month = {Nov},
	number = {11},
	pages = {e1002303},
	publisher = {Public Library of Science (PLoS)},
	title = {Computing Workflows for Biologists: A Roadmap},
	url = {http://dx.doi.org/10.1371/journal.pbio.1002303},
	volume = {13},
	year = {2015},
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@article{Sandve:2013aa,
	author = {Sandve, Geir Kjetil and Nekrutenko, Anton and Taylor, James and Hovig, Eivind},
	date-added = {2020-09-07 12:50:02 -0700},
	date-modified = {2020-09-08 09:26:31 -0700},
	doi = {10.1371/journal.pcbi.1003285},
	editor = {Bourne, Philip E.Editor},
	issn = {1553-7358},
	journal = {PLoS Computational Biology},
	month = {Oct},
	number = {10},
	pages = {e1003285},
	publisher = {Public Library of Science (PLoS)},
	title = {Ten Simple Rules for Reproducible Computational Research},
	url = {http://dx.doi.org/10.1371/journal.pcbi.1003285},
	volume = {9},
	year = {2013},
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