Bibliography

Bibliography

This file consist of a complete bibliography for this book sorted alphabetically

Age20

Norwegian Digitalisation Agency. Norwegian Licence for Open Government Data (NLOD) 2.0. Aug 2020. [Online; accessed 19. Nov. 2020]. URL: https://data.norge.no/nlod/en/2.0.

Bak16

Monya Baker. Reproducibility crisis? Nature, 533(26):353–66, 2016.

Bal20

Alex Ball. How to License Research Data - DCC. Nov 2020. [Online; accessed 19. Nov. 2020]. URL: https://www.dcc.ac.uk/guidance/how-guides/license-research-data.

Bar18

Lorena A. Barba. Terminologies for Reproducible Research. arXiv, Feb 2018. URL: https://arxiv.org/abs/1802.03311v1, arXiv:1802.03311.

BE12

C. Glenn Begley and Lee M. Ellis. Raise standards for preclinical cancer research. Nature, 483(7391):531–533, Mar 2012. doi:10.1038/483531a.

BI15

C. Glenn Begley and John P. A. Ioannidis. Reproducibility in Science. Circ. Res., Jan 2015. URL: https://www.ahajournals.org/doi/10.1161/CIRCRESAHA.114.303819.

Bry15

Jenny Bryan. How to name files. May 2015. [Online; accessed 19. Nov. 2020]. URL: https://speakerdeck.com/jennybc/how-to-name-files.

CRKR19

Evan W. Carr, Andrew Reece, Gabriella Rosen Kellerman, and Alexi Robichaux. The Value of Belonging at Work. Dec 2019. [Online; accessed 19. Nov. 2020]. URL: https://hbr.org/2019/12/the-value-of-belonging-at-work.

Cha21

Elodie Chabrol. Practical tips for scientists using twitter, in A comprehensive guide to science communication. Apr 2021. NULL. URL: https://www.hindawi.com/resources/.

CHA+20

Veronika Cheplygina, Felienne Hermans, Casper Albers, Natalia Bielczyk, and Ionica Smeets. Ten simple rules for getting started on Twitter as a scientist. PLOS Computational Biology, 16(2):1–9, 2020. Publisher: Public Library of Science. URL: https://doi.org/10.1371/journal.pcbi.1007513, doi:10.1371/journal.pcbi.1007513.

CK92

Jon F. Claerbout and Martin Karrenbach. Electronic documents give reproducible research a new meaning. Jan 1992. [Online; accessed 27. May 2020]. URL: https://library.seg.org/doi/abs/10.1190/1.1822162, doi:https://doi.org/10.1190/1.1822162.

Com20a

Creative Commons. About CC Licenses - Creative Commons. May 2020. [Online; accessed 19. Nov. 2020]. URL: https://creativecommons.org/about/cclicenses.

Com20b

Open Data Commons. Licenses - Open Data Commons: legal tools for open data. Oct 2020. [Online; accessed 19. Nov. 2020]. URL: https://opendatacommons.org/licenses/index.html.

Cow20

Wind Cowles. Research Guides: Research Data Management at Princeton: File naming and structure. Oct 2020. [Online; accessed 19. Nov. 2020]. URL: https://libguides.princeton.edu/c.php?g=102546&p=930626.

Cum20

Tucker Cummings. Does the Pomodoro Technique Work for Your Productivity? Apr 2020. URL: https://www.lifehack.org/articles/productivity/the-pomodoro-technique-is-it-right-for-you.html.

dVWA+14

Rob B. M. de Vries, Kimberley E. Wever, Marc T. Avey, Martin L. Stephens, Emily S. Sena, and Marlies Leenaars. The Usefulness of Systematic Reviews of Animal Experiments for the Design of Preclinical and Clinical Studies. ILAR J., 55(3):427–437, Dec 2014. doi:10.1093/ilar/ilu043.

DL10

Ulrich Dirnagl and Martin Lauritzen. Fighting publication bias: introducing the negative results section. Journal of Cerebral Blood Flow & Metabolism, 30(7):1263–1264, 2010. PMID: 20596038. URL: https://doi.org/10.1038/jcbfm.2010.51, arXiv:https://doi.org/10.1038/jcbfm.2010.51, doi:10.1038/jcbfm.2010.51.

Duk12

Monica Duke. How to Write a Lay Summary - DCC How-to Guides. Digital Curation Centre, June 2012. [Online; accessed 7. June. 2021]. URL: https://www.dcc.ac.uk/guidance/how-guides/write-lay-summary.

DT21

Patrick Dunleavy and Jane Tinkler. Maximizing the Impacts of Academic Research. Red Globe Press: London, Jan 2021. URL: https://www.amazon.co.uk/dp/B08KZLWB44/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1.

FK18

Siiri Fuchs and Mari Elisa Kuusniemi. Making a research project understandable - Guide for data documentation. Zenodo, Dec 2018. doi:10.5281/zenodo.1914401.

GBB+20

Leyla Garcia, Bérénice Batut, Melissa L. Burke, Mateusz Kuzak, Fotis Psomopoulos, Ricardo Arcila, Teresa K. Attwood, Niall Beard, Denise Carvalho-Silva, Alexandros C. Dimopoulos, Victoria Dominguez del Angel, Michel Dumontier, Kim T. Gurwitz, Roland Krause, Peter McQuilton, Loredana Le Pera, Sarah L. Morgan, Päivi Rauste, Allegra Via, Pascal Kahlem, Gabriella Rustici, Celia W. G. van Gelder, and Patricia M. Palagi. Ten simple rules for making training materials fair. PLOS Computational Biology, 16(5):1–9, 05 2020. URL: https://doi.org/10.1371/journal.pcbi.1007854, doi:10.1371/journal.pcbi.1007854.

GTL07

Robert Gentleman and Duncan Temple Lang. Statistical Analyses and Reproducible Research. J. Comput. Graph. Stat., 16(1):1–23, Mar 2007. doi:10.1198/106186007X178663.

GD20

Sarah Goff-Dupont. How to be a successful project owner (without micromanaging). Work Life by Atlassian, Aug 2020. URL: https://www.atlassian.com/blog/productivity/guide-to-project-ownership-without-micromanaging.

HCH+20

Wilhelm Hasselbring, Leslie Carr, Simon Hettrick, Heather Packer, and Thanassis Tiropanis. From FAIR research data toward FAIR and open research software. Information Technology, 62(1):39–47, 2020. doi:10.1515/itit-2019-0040.

HBP+18

Michael A. Heroux, Lorena Barba, Manish Parashar, Victoria Stodden, and Michela Taufer. Toward a Compatible Reproducibility Taxonomy for Computational and Computing Sciences. OSTI.GOV collections, Oct 2018. [Online; accessed 27. May 2020]. URL: https://www.osti.gov/biblio/1481626-toward-compatible-reproducibility-taxonomy-computational-computing-sciences, doi:10.2172/1481626.

Hod15

Amy Hodge. Best practices for file naming. 2015. [Online; accessed 19. Nov. 2020]. URL: https://library.stanford.edu/research/data-management-services/data-best-practices/best-practices-file-naming.

Ioa05

John P. A. Ioannidis. Why most published research findings are false. PLOS Medicine, 2(8):null, 08 2005. URL: https://doi.org/10.1371/journal.pmed.0020124, doi:10.1371/journal.pmed.0020124.

IGH+14

John P. A. Ioannidis, Sander Greenland, Mark A. Hlatky, Muin J. Khoury, Malcolm R. Macleod, David Moher, Kenneth F. Schulz, and Robert Tibshirani. Increasing value and reducing waste in research design, conduct, and analysis. Lancet, 383(9912):166–175, Jan 2014. doi:10.1016/S0140-6736(13)62227-8.

IT18

Peter Ivie and Douglas Thain. Reproducibility in Scientific Computing. ACM Comput. Surv., 51(3):1–36, Jul 2018. doi:10.1145/3186266.

KC21

Fani Kelesidou and Elodie Chabrol. A comprehensive guide to science communication. Hindawi Limited, Apr 2021. URL: https://www.hindawi.com/resources/.

KPK+09

Carol Kilkenny, Nick Parsons, Ed Kadyszewski, Michael F. W. Festing, Innes C. Cuthill, Derek Fry, Jane Hutton, and Douglas G. Altman. Survey of the Quality of Experimental Design, Statistical Analysis and Reporting of Research Using Animals. PLoS One, 4(11):e7824, Nov 2009. doi:10.1371/journal.pone.0007824.

KGL+20

Kevin Kunzmann, Michael J Grayling, Kim May Lee, David S Robertson, Kaspar Rufibach, and James Wason. A review of Bayesian perspectives on sample size derivation for confirmatory trials. arXiv preprint arXiv:2006.15715, 2020. URL: https://arxiv.org/abs/2006.15715.

Kuu10

Arja Kuula. Methodological and ethical dilemmas of archiving qualitative data. IASSIST Quarterly, 34(3-4):35, 2010. URL: http://www.iassistdata.org/sites/default/files/iqvol34_35_kuula.pdf.

Lab16

Mozilla Science Lab. Mozilla science lab's study group. GitHub, 2016. doi:.

LGK+20

Anna-Lena Lamprecht, Leyla Garcia, Mateusz Kuzak, Carlos Martinez, Ricardo Arcila, Eva Martin Del Pico, Victoria Dominguez Del Angel, Stephanie van de Sandt, Jon Ison, Paula Andrea Martinez, Peter McQuilton, Alfonso Valencia, Jennifer Harrow, Fotis Psomopoulos, Josep Gelpi, Neil Chue Hong, Carole Goble, and Salvador Capella-Gutierrez. Towards FAIR principles for research software. Data Science, 3(1):37–59, 2020. doi:10.3233/DS-190026.

Mar15

Florian Markowetz. Five selfish reasons to work reproducibly. Genome Biol., 16(1):1–4, Dec 2015. doi:10.1186/s13059-015-0850-7.

MBM18

Ben Marwick, Carl Boettiger, and Lincoln Mullen. Packaging data analytical work reproducibly using R (and friends). PeerJ Preprints, Mar 2018. doi:10.7287/peerj.preprints.3192v2.

Mar18

Loyola University Maryland. Why Ethics are Important in Data Science by Loyola University Maryland. Jun 2018. [Online; accessed 8. Jun. 2020]. URL: https://www.loyola.edu/academics/data-science/blog/2018/why-ethics-are-important-in-data-science.

MBB+16

Erin C. McKiernan, Philip E. Bourne, C. Titus Brown, Stuart Buck, Amye Kenall, Jennifer Lin, Damon McDougall, Brian A. Nosek, Karthik Ram, Courtney K. Soderberg, Jeffrey R. Spies, Kaitlin Thaney, Andrew Updegrove, Kara H. Woo, and Tal Yarkoni. Point of View: How open science helps researchers succeed. eLife, Jul 2016. doi:10.7554/eLife.16800.

NKP+17

Daniel Nuest, Markus Konkol, Edzer Pebesma, Christian Kray, Marc Schutzeichel, Holger Przibytzin, and Joerg Lorenz. Opening the publication process with executable research compendia. D-Lib Magazine, Jan 2017. URL: https://doi.org/10.1045/january2017-nuest, doi:10.1045/january2017-nuest.

OtU13

Corporate-\relax body. Ep$_$internal$_$pol:directorate-General for Internal Policies Of the Union. Legal aspects of free and open source software : compilation of briefing notes. Publications Office of the European Union, Dec 2013. ISBN 978-92-823-4570-2. URL: https://op.europa.eu/en/publication-detail/-/publication/9875c278-5510-4091-b14a-3e8282cb73a4.

Ple18

Hans E. Plesser. Reproducibility vs. Replicability: A Brief History of a Confused Terminology. Front. Neuroinf., Jan 2018. doi:10.3389/fninf.2017.00076.

Sha20

Malvika Sharan. Open communities and promoting a culture of collaboration. Zenodo, Apr 2020. doi:10.5281/zenodo.3745008.

Sto14

Victoria Stodden. Edge.org. May 2014. [Online; accessed 27. May 2020]. URL: https://www.edge.org/response-detail/25340.

SBH+18

David Stuart, Grace Baynes, Iain Hrynaszkiewicz, Katie Allin, Dan Penny, Mithu Lucraft, and Mathias Astell. Whitepaper: Practical challenges for researchers in data sharing. figshare, Mar 2018. doi:10.6084/m9.figshare.5975011.v1.

TS09

Richard H. Thaler and Cass R. Sunstein. Nudge. February 2009. [Online; accessed 5. May 2021]. URL: https://www.penguinrandomhouse.com/books/304634/nudge-by-richard-h-thaler-and-cass-r-sunstein.

TvdVDT20

Yasemin Turkyilmaz-van der Velden, Nicolas Dintzner, and Marta Teperek. Reproducibility Starts from You Today. Patterns, 1(6):100099, Sep 2020. doi:10.1016/j.patter.2020.100099.

VN14

Richard Van Noorden. Online collaboration: scientists and the social network. Nature, 512:126–129, 08 2014. URL: https://www.nature.com/news/online-collaboration-scientists-and-the-social-network-1.15711, doi:10.1038/512126a.

WDA+16

Mark D. Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E. Bourne, Jildau Bouwman, Anthony J. Brookes, Tim Clark, Merc\ifmmode \grave e\else è\fi Crosas, Ingrid Dillo, Olivier Dumon, Scott Edmunds, Chris T. Evelo, Richard Finkers, Alejandra Gonzalez-Beltran, Alasdair J. G. Gray, Paul Groth, Carole Goble, Jeffrey S. Grethe, Jaap Heringa, Peter A. C. 't Hoen, Rob Hooft, Tobias Kuhn, Ruben Kok, Joost Kok, Scott J. Lusher, Maryann E. Martone, Albert Mons, Abel L. Packer, Bengt Persson, Philippe Rocca-Serra, Marco Roos, Rene van Schaik, Susanna-Assunta Sansone, Erik Schultes, Thierry Sengstag, Ted Slater, George Strawn, Morris A. Swertz, Mark Thompson, Johan van der Lei, Erik van Mulligen, Jan Velterop, Andra Waagmeester, Peter Wittenburg, Katherine Wolstencroft, Jun Zhao, and Barend Mons. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data, 3(160018):1–9, Mar 2016. doi:10.1038/sdata.2016.18.

WPA+20

Louise Woodley, Catherine Pratt, Rachael Ainsworth, Eva Amsen, Arne Bakker, Stefanie Butland, Stephanie O'Donnell, Naomi Penfold, Allen Pope, Tom Quigley, and Emmy Tsang. Using virtual events to facilitate community building: event formats. Zenodo, Jul 2020. doi:10.5281/zenodo.3934385.

OpenSCollaboration15

Open Science Collaboration. Estimating the reproducibility of psychological science. Science, 349(6251):aac4716, Aug 2015. doi:10.1126/science.aac4716.

WorldHOrganisation20

World Health Organisation. Events as they happen. Jul 2020. [Online; accessed 7. Jul. 2020]. URL: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen.

previous

Glossary

next

Record of Contributions