Bibliography#
This file consist of a complete bibliography for this book sorted alphabetically
The Tyranny of Stuctureless. January 2012. [Online; accessed 19. May 2022]. URL: https://www.jofreeman.com/joreen/tyranny.htm.
Dec 2020. URL: https://elifesciences.org/for-the-press/a4dc2f54/elife-shifting-to-exclusively-reviewing-preprints.
Aug 2021. URL: https://www.ukri.org/news/ukri-announces-new-open-access-policy/.
Peter M. Abuja, Tamara Carapina, Martin de Kort, Michael Raess, Chris Tieken, and Nigel Wagstaff. Academia - industry collaboration best practices guide. 2019. URL: https://eatris.eu/wp-content/uploads/2019/12/CORBEL_Academia_Industry_Collaboration_Best_Practices_Guide.pdf, doi:10.5281/zenodo.2615365.
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.
Shivaji Alaparthi and Manit Mishra. Bidirectional encoder representations from transformers (bert): a sentiment analysis odyssey. arXiv preprint arXiv:2007.01127, 2020.
Inc. Anaconda. 2020 state of data science. 2020. URL: https://know.anaconda.com/rs/387-XNW-688/images/Anaconda-SODS-Report-2020-Final.pdf.
Andrey Andreev, Valerie Komatsu, Paula Almiron, Kasey Rose, Alexandria Hughes, and Maurice Y Lee. Welcome to the lab. eLife, May 2022. URL: https://doi.org/10.7554/elife.79627, doi:10.7554/elife.79627.
Salman Aslam. 90 LinkedIn statistics you need to know in 2023. February 2023. [Online; accessed 15. Nov. 2023]. URL: https://www.omnicoreagency.com/LinkedIn-statistics/.
Peter C. Austin, Ian R. White, Douglas S. Lee, and Stef van Buuren. Missing data in clinical research: a tutorial on multiple imputation. Canadian Journal of Cardiology, 37(9):1322–1331, 2021. URL: https://www.sciencedirect.com/science/article/pii/S0828282X20311119, doi:https://doi.org/10.1016/j.cjca.2020.11.010.
M. J. Azur, E. A. Stuart, C. Frangakis, and P. J. Leaf. Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res, 20(1):40–9, 2011. doi:10.1002/mpr.329.
Monya Baker. Reproducibility crisis? Nature, 533(26):353–66, 2016.
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.
Lorena A. Barba. Terminologies for Reproducible Research. arXiv, Feb 2018. URL: https://arxiv.org/abs/1802.03311v1, arXiv:1802.03311.
Sarah Barbrow, Denise Brush, and Julie Goldman. Research data management and services: resources for novice data librarians. College & Research Libraries News, 2017. URL: https://doi.org/10.5860/crln.78.5.274, doi:10.5860/crln.78.5.274.
C. Glenn Begley and Lee M. Ellis. Raise standards for preclinical cancer research. Nature, 483(7391):531–533, Mar 2012. doi:10.1038/483531a.
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.
Khalid Belhajjame, Jun Zhao, Daniel Garijo, Matthew Gamble, Kristina Hettne, Raul Palma, Eleni Mina, Oscar Corcho, Jos\ifmmode \acute e\else é\fi Manuel G\ifmmode \acute o\else ó\fi mez-P\ifmmode \acute e\else é\fi rez, Sean Bechhofer, and others. Using a suite of ontologies for preserving workflow-centric research objects. Journal of Web Semantics, 32:16–42, May 2015. doi:10.1016/j.websem.2015.01.003.
Khalid Belhajjame, Jun Zhao, Daniel Garijo, Matthew Gamble, Kristina Hettne, Raul Palma, Eleni Mina, Oscar Corcho, José Manuel Gómez-Pérez, Sean Bechhofer, Graham Klyne, and Carole Goble. Using a suite of ontologies for preserving workflow-centric research objects. Journal of Web Semantics, 32:16–42, 2015. URL: https://www.sciencedirect.com/science/article/pii/S1570826815000049, doi:https://doi.org/10.1016/j.websem.2015.01.003.
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. On the dangers of stochastic parrots. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. ACM, March 2021. URL: https://doi.org/10.1145/3442188.3445922, doi:10.1145/3442188.3445922.
Abeba Birhane. Algorithmic injustice: a relational ethics approach. Patterns, 2(2):100205, 2021. URL: https://www.sciencedirect.com/science/article/pii/S2666389921000155.
Carter Bloch and Mads P. Sørensen. The size of research funding: Trends and implications. Sci. Public Policy, 42(1):30–43, Feb 2015. doi:10.1093/scipol/scu019.
Jérémy Bonvoisin and Robert Mies. Measuring openness in open source hardware with the open-o-meter. Procedia CIRP, 78:388–393, 2018. URL: https://doi.org/10.1016/j.procir.2018.08.306, doi:10.1016/j.procir.2018.08.306.
Elizabeth T. Borer, Eric W. Seabloom, Matthew B. Jones, and Mark Schildhauer. Some simple guidelines for effective data management. The Bulletin of the Ecological Society of America, 2009. URL: https://doi.org/10.1890/0012-9623-90.2.205, doi:10.1890/0012-9623-90.2.205.
John Borghi and Ana Van Gulick. Promoting open science through research data management. Harvard Data Science Review, July 2022. URL: https://doi.org/10.1162/99608f92.9497f68e, doi:10.1162/99608f92.9497f68e.
Amine Boulemtafes, Abdelouahid Derhab, and Yacine Challal. A review of privacy-preserving techniques for deep learning. Neurocomputing, 384:21–45, April 2020. doi:10.1016/j.neucom.2019.11.041.
Giangiacomo Bravo, Francisco Grimaldo, Emilia López-Inesta, Bahar Mehmani, and Flaminio Squazzoni. The effect of publishing peer review reports on referee behavior in five scholarly journals. Nature Communications, 10(322):1–8, January 2019. URL: https://doi.org/10.1038/s41467-018-08250-2, doi:10.1038/s41467-018-08250-2.
William Bridges and Susan Bridges. Managing Transitions. John Murray Press, 2017. ISBN 9780738219653. URL: https://wmbridges.com/about/what-is-transition/.
Kristin Briney. Data Management for Researchers : Organize, maintain and share your data for research success. Pelagic Publishing, 2015. ISBN 978-1784270117. URL: https://pelagicpublishing.com/products/data-management-for-researchers-briney.
Kristin A. Briney, Heather Coates, and Abigail Goben. Foundational practices of research data management. Research Ideas and Outcomes, 2020. URL: https://doi.org/10.3897/rio.6.e56508, doi:10.3897/rio.6.e56508.
Karl W Broman and Kara H Woo. Data organization in spreadsheets. The American Statistician, 72(1):2–10, 2018. URL: https://peerj.com/preprints/3183/, doi:10.1080/00031305.2017.1375989.
adrienne maree brown. Emergent Strategy Shaping Change, Changing Worlds. Ak Press, 2017. ISBN 9781849352604. URL: https://www.akpress.org/emergentstrategy.html.
Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, Reza Shokri, and Florian Tramèr. What Does it Mean for a Language Model to Preserve Privacy? arXiv:2202.05520 [cs, stat], February 2022. arXiv:2202.05520.
Nicole Brown. Epistemology. 2015. URL: http://www.nicole-brown.co.uk/epistemology/ (visited on 2024-11-05).
Jenny Bryan. How to name files. May 2015. [Online; accessed 19. Nov. 2020]. URL: https://speakerdeck.com/jennybc/how-to-name-files.
Erin M. Buchanan, Sarah E. Crain, L. Cunningham, Ari, Hannah R. Johnson, Hannah Stash, Marietta Papadatou-Pastou, and Peder M. Isager. Getting started creating data dictionaries: how to create a shareable data set. Advances in Methods and Practices in Psychological Science, 2021. URL: https://doi.org/10.1177/2515245920928007, doi:10.1177/2515245920928007.
John Burnham. Developments in social grrraaacceeesss: visible–invisible and voiced–unvoiced. In Culture and reflexivity in systemic psychotherapy, pages 139–160. Routledge, 2012. URL: https://www.taylorfrancis.com/chapters/edit/10.4324/9780429473463-7/developments-social-grrraaacceeesss-visible%E2%80%93invisible-voiced%E2%80%93unvoiced-1-john-burnham.
Stef van Buuren. Types of missing data. Oxford University Press, 2015. URL: https://www-users.york.ac.uk/~mb55/intro/typemiss4.htm#:~:text=When%20we%20say%20data%20are,CADET%2C%20sex%20might%20be%20MCAR.
Stef van Buuren. Flexible Imputation of Missing Data. Interdisciplinary Statistics Series. Chapman & Hall/CRC, 2018. URL: https://stefvanbuuren.name/fimd/.
Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song. The secret Sharer: Evaluating and testing unintended memorization in neural networks. In Proceedings of the 28th USENIX Security Symposium, 267–284. USENIX Association, February 2019. arXiv:1802.08232.
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.
Elodie Chabrol. Practical tips for scientists using twitter, in A comprehensive guide to science communication. Apr 2021. URL: https://www.hindawi.com/resources/.
V. Bala Chaudhary and Asmeret Asefaw Berhe. Ten simple rules for building an antiracist lab. PLOS Computational Biology, 16(10):e1008210, October 2020. URL: https://doi.org/10.1371/journal.pcbi.1008210, doi:10.1371/journal.pcbi.1008210.
Dalmeet Singh Chawla. Assigning authorship for research papers can be tricky. these approaches can help. December 2018. URL: https://www.science.org/content/article/assigning-authorship-research-papers-can-be-tricky-these-approaches-can-help (visited on 2023-04-06).
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.
Neil P. Chue Hong, Daniel S. Katz, Michelle Barker, Anna-Lena Lamprecht, Carlos Martinez, Fotis E. Psomopoulos, Jen Harrow, Leyla Jael Castro, Morane Gruenpeter, Paula Andrea Martinez, and Tom Honeyman. Fair principles for research software (fair4rs principles). 2021. doi:10.15497/RDA00065.
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.
Camden Coalition. Understanding preferred language for people with lived experience. Jun 2022. URL: https://camdenhealth.org/blog/understanding-preferred-language-for-people-with-lived-experience/ (visited on 2023-11-10).
Maximin Coavoux, Shashi Narayan, and Shay B Cohen. Privacy-preserving neural representations of text. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 1–10. 2018.
Patricia Hill Collins. Black feminist thought in the matrix of domination. In Black feminist thought: Knowledge, consciousness, and the politics of empowerment. HarperCollins Academic, 1990. URL: http://www.oregoncampuscompact.org/uploads/1/3/0/4/13042698/patricia_hill_collins_black_feminist_thought_in_the_matrix_of_domination.pdf.
Randy Colon, Abigail Goben, and Sebastian Karcher. Actually accessible data: an update and a call to action. Journal of Librarianship and Scholarly Communication, 2023. URL: https://doi.org/10.31274/jlsc.15449, doi:10.31274/jlsc.15449.
Nicholas Colvard, Edward Watson, and Hyojin Park. The Impact of Open Educational Resources on Various Student Success Metrics. International Journal of Teaching and Learning in Higher Education, 30(2):262–276, 2018.
Creative Commons. About CC Licenses - Creative Commons. May 2020. [Online; accessed 19. Nov. 2020]. URL: https://creativecommons.org/about/cclicenses.
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.
Sasha Costanza-Chock. Design justice: Community-led practices to build the worlds we need. The MIT Press, 2020. URL: https://design-justice.pubpub.org/.
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.
Kimberlé Crenshaw. Demarginalizing the intersection of race and sex: a black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. University of Chicago Legal Forum, pages 139, 1989. URL: https://chicagounbound.uchicago.edu/cgi/viewcontent.cgi?article=1052&context=uclf.
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.
Catherine D'ignazio and Lauren F Klein. Data feminism. MIT press, 2020. URL: https://mitpress.mit.edu/books/data-feminism.
J. Damerow, N. Raia, V. Stanley, N. Byers, S. Choe, R. Edmunds, J. Kunze, K. Lehnert, M. McIntyre-Redden, C. Mungall, D. O'Ryan, C. Parker, E. Plomp, S. Richard, D. Vieglais, E. Wood-Charlson, ESIP Physical Samples Curation Cluster, and A. Thomer. A scientific author guide for publishing open research using physical samples. 2024. URL: https://doi.org/10.6084/m9.figshare.24669057.v1, doi:10.6084/m9.figshare.24669057.v1.
Moniek C.M. de Goeij, Merel van Diepen, Kitty J. Jager, Giovanni Tripepi, Carmine Zoccali, and Friedo W. Dekker. Multiple imputation: dealing with missing data. Nephrology Dialysis Transplantation, 28(10):2415–2420, 05 2013. URL: https://doi.org/10.1093/ndt/gft221, arXiv:https://academic.oup.com/ndt/article-pdf/28/10/2415/6879514/gft221.pdf, doi:10.1093/ndt/gft221.
Melanie Dulong de Rosnay and Felix Stalder. Digital commons. Internet Policy Review, December 2020. URL: https://policyreview.info/concepts/digital-commons.
Koenraad De Smedt, Dimitris Koureas, and Peter Wittenburg. Fair digital objects for science: from data pieces to actionable knowledge units. Publications, 2020. URL: https://www.mdpi.com/2304-6775/8/2/21, doi:10.3390/publications8020021.
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.
Vincent Dessain, Olivier Meier, and Vicente Salas. Corporate Governance and Ethics: Shareholder Reality, Social Responsibility or Institutional Necessity? M@n@gement, 11(2):65–79, February 2011. URL: https://www.cairn.info/revue-management-2008-2-page-65.htm.
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.
Joel Dittmer. Applied ethics. Internet Encyclopedia of Philosophy, 2022. URL: https://iep.utm.edu/applied-ethics/.
James M. DuBois and Alison L. Antes. Five Dimensions of Research Ethics: A Stakeholder Framework for Creating a Climate of Research Integrity. Acad Med, 93(4):550–555, 2018. URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5916747/ (visited on 2023-11-07), arXiv:29068823, doi:10.1097/ACM.0000000000001966.
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.
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.
ESRC. Framework for Research Ethics (FRE). 2010.
Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, and Tom Diethe. Privacy- And utility-preserving textual analysis via calibrated multivariate perturbations. In WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining, 178–186. Association for Computing Machinery, Inc, October 2020. arXiv:1910.08902, doi:10.1145/3336191.3371856.
Eric A. Fong and Allen W. Wilhite. Authorship and citation manipulation in academic research. PLOS ONE, 12:1–34, 12 2017. URL: https://doi.org/10.1371/journal.pone.0187394, doi:10.1371/journal.pone.0187394.
Centers for Disease Control and Prevention. The u.s. public health service syphilis study at tuskegee timeline. 2021. URL: https://www.cdc.gov/tuskegee/timeline.htm.
National Institude for Health and Care Research. Different experiences: a framework for considering who might be involved in research. 2021. URL: https://www.nihr.ac.uk/documents/different-experiences-a-framework-for-considering-who-might-be-involved-in-research/27387 (visited on 2023-11-10).
Charles W. Fox. Which peer reviewers voluntarily reveal their identity to authors? insights into the consequences of open-identities peer review. Proceedings Roayl Society B, 288:20211399, January 2021. URL: https://doi.org/10.1098/rspb.2021.1399, doi:10.1098/rspb.2021.1399.
Tove Faber Frandsen and Jeppe Nicolaisen. What is in a name? credit assignment practices in different disciplines. Journal of Informetrics, 4(4):608–617, October 2010. URL: https://doi.org/10.1016/j.joi.2010.06.010, doi:10.1016/j.joi.2010.06.010.
Brian Freeland, Eanna McCarthy, Rengesh Balakrishnan, Samantha Fahy, Adam Boland, Keith D. Rochfort, Michal Dabros, Roger Marti, Susan M. Kelleher, and Jennifer Gaughran. A review of polylactic acid as a replacement material for single-use laboratory components. Materials, 15(9):2989, April 2022. URL: https://doi.org/10.3390/ma15092989, doi:10.3390/ma15092989.
Juliana Freire and Fernando Seabra Chirigati. Provenance and the different flavors of reproducibility. IEEE Data Eng. Bull., 41(1):15–26, 2018. URL: http://sites.computer.org/debull/A18mar/p15.pdf.
Louise Frion. POLICY BRIEF, Digital Commons as Alternative Systems of Value, by Louise Frion. June 2024. [Online; accessed 6. Jun. 2024]. URL: https://www.sciencespo.fr/public/chaire-numerique/en/2023/06/15/policy-brief-digital-commons-as-an-alternative-system-of-value-by-louise-frion.
Siiri Fuchs and Mari Elisa Kuusniemi. Making a research project understandable - Guide for data documentation. Zenodo, Dec 2018. doi:10.5281/zenodo.1914401.
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.
Andres Garcia-Silva, Jose Manuel Gomez-Perez, Raul Palma, Marcin Krystek, Simone Mantovani, Federica Foglini, Valentina Grande, Francesco De Leo, Stefano Salvi, Elisa Trasatti, Vito Romaniello, Mirko Albani, Cristiano Silvagni, Rosemarie Leone, Fulvio Marelli, Sergio Albani, Michele Lazzarini, Hazel J. Napier, Helen M. Glaves, Timothy Aldridge, Charles Meertens, Fran Boler, Henry W. Loescher, Christine Laney, Melissa A. Genazzio, Daniel Crawl, and Ilkay Altintas. Enabling fair research in earth science through research objects. Future Generation Computer Systems, 98:550–564, 2019. URL: https://www.sciencedirect.com/science/article/pii/S0167739X18314638, doi:https://doi.org/10.1016/j.future.2019.03.046.
Kaitlyn M. Gaynor, Therese Azevedo, Clarissa Boyajian, Julien Brun, Amber E. Budden, Allie Cole, Samantha Csik, Joe DeCesaro, Halina Do-Linh, Joan Dudney, Carmen Galaz Garcia, Scout Leonard, Nicolas J. Lyon, Althea Marks, Julia Parish, Alexandra A. Phillips, Courtney Scarborough, Joshua Smith, Marcus Thompson, Camila Vargas Poulsen, and Caitlin R. Fong. Ten simple rules to cultivate belonging in collaborative data science research teams. PLoS Comput Biol, 2022. URL: https://doi.org/10.1371/journal.pcbi.1010567, doi:10.1371/journal.pcbi.1010567.
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford. Datasheets for datasets. arXiv preprint arXiv:1803.09010, 2018. URL: https://www.microsoft.com/en-us/research/uploads/prod/2019/01/1803.09010.pdf.
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.
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.
Krzysztof J. Gorgolewski, Tibor Auer, Vince D. Calhoun, R. Cameron Craddock, Samir Das, Eugene P. Duff, Guillaume Flandin, Satrajit S. Ghosh, Tristan Glatard, Yaroslav O. Halchenko, Daniel A. Handwerker, Michael Hanke, David Keator, Xiangrui Li, Zachary Michael, Camille Maumet, B. Nolan Nichols, Thomas E. Nichols, John Pellman, Jean-Baptiste Poline, Ariel Rokem, Gunnar Schaefer, Vanessa Sochat, William Triplett, Jessica A. Turner, Gaël Varoquaux, and Russell A. Poldrack. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific Data, 3(1):160044, 2016. URL: https://www.nature.com/articles/sdata201644, doi:10.1038/sdata.2016.44.
Jason Grealey, Loïc Lannelongue, Woei-Yuh Saw, Jonathan Marten, Guillaume Méric, Sergio Ruiz-Carmona, and Michael Inouye. The Carbon Footprint of Bioinformatics. Molecular Biology and Evolution, 02 2022. msac034. URL: https://doi.org/10.1093/molbev/msac034, arXiv:https://academic.oup.com/mbe/article-pdf/39/3/msac034/42692776/msac034.pdf, doi:10.1093/molbev/msac034.
Sarah Greene, Gwen Antell, Jake Atterby, Rehemat Bhatia, Emma Dunne, Sam Giles, Sebastian Groh, Emma Hanson, Jason Hilton, Hazel Knight, Peter Kraftl, Esme Morgan, Isobel Rhodes, Francisca Rockey, Shivani Singh, Carl Stevenson, Simiao Sun, Bridget Warren, James Wheeley, and Kweku Yamoah. Safety and belonging in the field: a checklist for educators. EarthArxiv, August 2021. URL: https://doi.org/10.31223/x53p6h, doi:10.31223/x53p6h.
Kathleen Gregory, Siri Jodha Khalsa, K. Michener, William, Fotis E. Psomopoulos, Anita de Waard, and Mingfang Wu. Eleven quick tips for finding research data. PLOS, 2018. URL: https://doi.org/10.1371/journal.pcbi.1006038, doi:10.1371/journal.pcbi.1006038.
Barbara Groot and Tineke Abma. Ethics framework for citizen science and public and patient participation in research. BMC Medical Ethics, 23(1):23, 2022. URL: https://doi.org/10.1186/s12910-022-00761-4 (visited on 2023-11-07), doi:10.1186/s12910-022-00761-4.
L. Gumb and W. Cross. In keeping with academic tradition: copyright ownership in higher education and potential implications for open education. Journal of Copyright in Education and Librarianship, 2022. URL: https://doi.org/10.17161/jcel.v5i1.14946, doi:10.17161/jcel.v5i1.14946.
Donna Haraway. Situated knowledges: the science question in feminism and the privilege of partial perspective. Feminist studies, 14(3):575–599, 1988. URL: https://www.jstor.org/stable/3178066.
Elizabeth Hare. Writing Alt Text to communicate the meaning in data visualizations, chapter 2. Urban Institute, 2022. URL: https://www.urban.org/sites/default/files/2022-12/Do%20No%20Harm%20Guide%20Centering%20Accessibility%20in%20Data%20Visualization.pdf.
Edmund M. Hart, Pauline Barmby, David LeBauer, Francois Michonneau, Sarah Mount, Patrick Mulrooney, Timothee Poisot, Kara H. Woo, Naupake Zimmerman, and Jeffrey W. Hollister. Ten simple rules for digital data storage. PLoS Comput Biology, 2016. URL: https://doi.org/10.1371/journal.pcbi.1005097, doi:10.1371/journal.pcbi.1005097.
L. A. Harvey. Gift, honorary or guest authorship. Spinal Cord, 56(2):91, Feb 2018. doi:10.1038/s41393-017-0057-8.
Wilhelm Hasselbring, Leslie Carr, Simon Hettrick, Heather Packer, and Thanassis Tiropanis. How should individual participant data (IPD) from publicly funded clinical trials be shared? BMC Medicine, 13(298):1–7, 2015. doi:10.1186/s12916-015-0532-z.
Kali Hays. Twitter downloads hit lowest level in a over a decade as usage nears a yearly low under Elon Musk's ownership. September 2023. [Online; accessed 09. Sep. 2023]. URL: https://web.archive.org/web/20230909143425/https://www.businessinsider.com/twitter-downloads-usage-sinks-under-elon-musk-ownership-2023-9.
Kieran Healy. Data Visualization: A practical introduction. Princeton University Press, 2018. ISBN 978-0691181622. URL: https://socviz.co/.
Teague R. Henry. Data management for researchers: 8 principles of good data management. Open Science Framework, 2021. URL: https://doi.org/10.31234/osf.io/5tmfe, doi:10.31234/osf.io/5tmfe.
Soleil Hernandez, Raymond Mumme, Laurence Court, Daniel El Basha, Skylar Gay, Barbara Marquez, Yao Xiao, Kai Huang, Hana Baroudi, Wenhua Cao, Carlos Cardenas, Raphael Douglas, Jack Duryea, Zaphanlene Kaffey, Deborah Mann, Kelly Nealon, Tucker Netheron, Callistus Nguyen, Kyuhak Oh, Adenike Olanrewaju, Carlos Sjogreen, DJ Rhee, Jinzhong Yang, Cenji Yu, Lifei Zhang, Yao Zhao, Hamid Ziyaee, and Mary Gronberg. Improving lab culture through self-assessment: a case study. bioRxiv, December 2021. URL: https://doi.org/10.1101/2021.12.08.471870, doi:10.1101/2021.12.08.471870.
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.
Charlotte Hess and Elinor Ostrom. Understanding Knowledge as a Commons: From Theory to Practice. The MIT Press, Cambridge, MA, USA, December 2006. ISBN 978-0-26225634-6. doi:10.7551/mitpress/6980.001.0001.
Stuart G. Higgins, Akemi A. Nogiwa-Valdez, and Molly M. Stevens. Considerations for implementing electronic laboratory notebooks in an academic research environment. Nature Protocols, 17(2):179–189, 01 2022. URL: http://dx.doi.org/10.1038/s41596-021-00645-8, doi:10.1038/s41596-021-00645-8.
Michael Hiltzik. Scientists used to love Twitter. thanks to Elon Musk, they’re giving up on it. The Los Angeles Times, 08 2023. URL: https://www.latimes.com/business/story/2023-08-25/column-scientists-used-to-love-twitter-thanks-to-elon-musk-theyre-giving-up-on-it.
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.
Andrew Gary Darwin Holmes. Researcher positionality-a consideration of its influence and place in qualitative research-a new researcher guide. International Journal of Education, 8(4):1–10, 2020. URL: https://files.eric.ed.gov/fulltext/EJ1268044.pdf.
Wayne Holmes, Kaska Porayska-Pomsta, Ken Holstein, Emma Sutherland, Toby Baker, Simon Buckingham Shum, Olga C. Santos, Mercedes T. Rodrigo, Mutlu Cukurova, Ig Ibert Bittencourt, and Kenneth R. Koedinger. Ethics of AI in Education: Towards a Community-Wide Framework. Int J Artif Intell Educ, 32(3):504–526, 2022. URL: https://doi.org/10.1007/s40593-021-00239-1 (visited on 2023-11-07), doi:10.1007/s40593-021-00239-1.
Daniel Hook. Feb 2021. URL: https://www.dimensions.ai/blog/open-access-surpasses-subscription-publication-globally-for-the-first-time/.
Serge P.J.M. Horbach, Tony Ross-Hellauer, and Ludo Waltman. Sunlight not shadows: double-anonymized peer review is not the progressive answer to status bias. Open Science Framework Preprint, pages 1–3, October 2022. URL: https://doi.org/10.31219/osf.io/fqb5c, doi:10.31219/osf.io/fqb5c.
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.
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.
Peter Ivie and Douglas Thain. Reproducibility in Scientific Computing. ACM Comput. Surv., 51(3):1–36, Jul 2018. doi:10.1145/3186266.
James Jackson, Robin Mitra, Niels Hagenbuch, Sarah McGough, and Chris Harbron. A complete characterisation of structured missingness. 2023. URL: https://arxiv.org/abs/2307.02650, arXiv:2307.02650.
Danielle Jacobson and Nida Mustafa. Social identity map: a reflexivity tool for practicing explicit positionality in critical qualitative research. International Journal of Qualitative Methods, 18:1609406919870075, 2019. URL: https://journals.sagepub.com/doi/full/10.1177/1609406919870075.
Anisa JN Jafar. What is positionality and should it be expressed in quantitative studies? Emergency Medicine Journal, 2018. URL: https://emj.bmj.com/content/35/5/323, doi:10.1136/emermed-2017-207158.
Helena Jambor, Alberto Antonietti, Bradly Alicea, Tracy L. Audisio, Susann Auer, Vivek Bhardway, Steven J. Burgess, Iuliia Ferling, Malgorzata A. Gazda, Luke H. Hoeppner, Vinodh Ilangovan, Hung Lo, Mischa Olson, Salem Yousef Mohamed, Sarvenaz Sarabipour, Aalok Varma, Kaivalya Walavalkar, Erin M. Wissink, and Tracey L. Weissgerber. Creating clear and informative image-based figures for scientific publications. PLOS Biology, 2021. URL: https://doi.org/10.1371/journal.pbio.3001161, doi:10.1371/journal.pbio.3001161.
Mijke Jetten, Boudewijn van den Berg, Mateusz Kuzak, Iza Witkowska, Lena Karvovskaya, Carlos Teijeiro Barjas, Ellen Leenarts, Fieke Schoots, Maria Cruz, Esther Plomp, Ellen Verbakel, Paula Martinez Lavanchy, Barteld Braaksma, Ruurd Schoonhoven, and Ingeborg Verheul. 23 Things: Support for Research Data. Updated version for the Dutch Community by the LCRDM task group RDA/23 Things. October 2019. URL: https://doi.org/10.5281/zenodo.3465896, doi:10.5281/zenodo.3465896.
Mijke Jetten, Marjan Grootveld, Annemie Mordant, Mascha Jansen, Margreet Bloemers, Margriet Miedema, and Celia W.G. van Gelder. Professionalising data stewardship in the Netherlands. Competences, training and education. Dutch roadmap towards national implementation of FAIR data stewardship. March 2021. URL: https://doi.org/10.5281/zenodo.4623713, doi:10.5281/zenodo.4623713.
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, and Sen Zhao. Advances and Open Problems in Federated Learning. arXiv:1912.04977 [cs], December 2019. arXiv:1912.04977.
Anelis Kaiser, Sven Haller, Sigrid Schmitz, and Cordula Nitsch. On sex/gender related similarities and differences in fMRI language research. Brain Res. Rev., 61(2):49–59, Oct 2009. doi:10.1016/j.brainresrev.2009.03.005.
Samantha Kanza, Cerys Willoughby, Nicholas Gibbins, Richard Whitby, Jeremy Graham Frey, Jana Erjavec, Klemen Zupancic, Matjaz Hren, and Katarina Kovac. Electronic lab notebooks: can they replace paper? Journal of Cheminformatics, 2017. URL: https://doi.org/10.1186/s13321-017-0221-3, doi:10.1186/s13321-017-0221-3.
Fani Kelesidou and Elodie Chabrol. A comprehensive guide to science communication. Hindawi Limited, Apr 2021. URL: https://www.hindawi.com/resources/.
Brianne A. Kent, Constance Holman, Emmanuella Amoako, Alberto Antonietti, James M. Azam, Hanne Ballhausen, Yaw Bediako, Anat M. Belasen, Clarissa F. D. Carneiro, Yen-Chung Chen, Ewoud B. Compeer, Chelsea A. C. Connor, Sophia Crüwell, Humberto Debat, Emma Dorris, Hedyeh Ebrahimi, Jeffrey C. Erlich, Florencia Fernández-Chiappe, Felix Fischer, Małgorzata Anna Gazda, Toivo Glatz, Peter Grabitz, Verena Heise, David G. Kent, Hung Lo, Gary McDowell, Devang Mehta, Wolf-Julian Neumann, Kleber Neves, Mark Patterson, Naomi C. Penfold, Sophie K. Piper, Iratxe Puebla, Peter K. Quashie, Carolina Paz Quezada, Julia L. Riley, Jessica L. Rohmann, Shyam Saladi, Benjamin Schwessinger, Bob Siegerink, Paulina Stehlik, Alexandra Tzilivaki, Kate D. L. Umbers, Aalok Varma, Kaivalya Walavalkar, Charlotte M. de Winde, Cecilia Zaza, and Tracey L. Weissgerber. Recommendations for empowering early career researchers to improve research culture and practice. PLoS Biology, 20(7):e3001680, 2022. URL: https://dx.plos.org/10.1371/journal.pbio.3001680, doi:10.1371/journal.pbio.3001680.
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.
Stanley G Korenman. Teaching the responsible conduct of research in humans (RCRH), chapter 1. Los Angeles: University of California, 2006. URL: https://ori.hhs.gov/education/products/ucla/default.htm.
John P Kotter. Leading Change. Harvard Business Review Press, 2012. ISBN 9781422186435. URL: https://www.kotterinc.com/bookshelf/leading-change/.
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.
Arja Kuula. Methodological and ethical dilemmas of archiving qualitative data. IASSIST Quarterly, 34(3-4):35, 2010. URL: https://iassistquarterly.com/public/pdfs/iqvol34_35_kuula.pdf.
Roberta Kwok. How to pick an electronic laboratory notebook. Nature, 2018. URL: https://doi.org/10.1038/d41586-018-05895-3, doi:10.1038/d41586-018-05895-3.
Mozilla Science Lab. Mozilla science labs study group. GitHub, 2016.
Jaron Lanier and E. Glen Weyl. Ai is an ideology, not a technology. 2020. URL: https://www.wired.com/story/opinion-ai-is-an-ideology-not-a-technology/.
Loic Lannelongue, Hans-Erik G. Aronson, Alex Bateman, Ewan Birney, Talia Caplan, Martin Juckes, Johanna McEntyre, Andrew D. Morris, Gerry Reilly, and Michael Inouye. Greener principles for environmentally sustainable computational science. Nature Computational Science, 2023. URL: https://doi.org/10.1038/s43588-023-00461-y, doi:10.1038/s43588-023-00461-y.
Loïc Lannelongue, Jason Grealey, Alex Bateman, and Michael Inouye. Ten simple rules to make your computing more environmentally sustainable. PLOS Computational Biology, 17(9):1–8, 09 2021. URL: https://doi.org/10.1371/journal.pcbi.1009324, doi:10.1371/journal.pcbi.1009324.
Ryan J. Larsen, Borjan Gagoski, Sarah U. Morton, Yangming Ou, Rutvi Vyas, P. Ellen Litt, Jonathanand Grant, and Bradley P. Sutton. Dataset for "quantification of magnetic resonance spectroscopy data using a combined reference: application in typically developing infants. 2021. URL: https://doi.org/10.13012/B2IDB-3548139_V1, doi:10.13012/B2IDB-3548139_V1.
Logan B. Leak, Janina Tamborski, Antony Commissaris, and Jennifer A.N. Brophy. Forging a path toward a more sustainable laboratory. Trends in Biochemical Sciences, 48(1):5–8, January 2023. URL: https://doi.org/10.1016/j.tibs.2022.09.001, doi:10.1016/j.tibs.2022.09.001.
Patrick Lencioni. The Five Dysfunctions of a Team: Team Assessment. Pfeiffer, San Francisco, Calif, 2012. ISBN 978-1-118-12730-8. URL: https://www.worldcat.org/title/794274430.
Margaret C. Levenstein and Lyle Jared A. Data: sharing is caring. Advances in Methods and Practices in Psychological Science, 2018. URL: https://doi.org/10.1177/2515245918758319, doi:10.1177/2515245918758319.
C. Li. Friends don't let friends make bad graphs. 2023. URL: cxli233/FriendsDontLetFriends, doi:10.5281/zenodo.7097522.
Max Liboiron, Justine Ammendolia, Katharine Winsor, Alex Zahara, Hillary Bradshaw, Jessica Melvin, Charles Mather, Natalya Dawe, Emily Wells, France Liboiron, Bojan Furst, Coco Coyle, Jacquelyn Saturno, Melissa Novacefski, Sam Westscott, and Grandmother Liboiron. Equity in author order: a feminist laboratory's approach. Catalyst: Feminism, Theory, Technoscience, 3(2):1–17, October 2017. URL: https://doi.org/10.28968/cftt.v3i2.28850, doi:10.28968/cftt.v3i2.28850.
Dawei Lin, Jonathan Crabtree, Ingrid Dillo, Robert R. Downs, Rorie Edmunds, David Giaretta, Marisa De Giusti, Herve L'Hours, Wim Hugo, Reyna Jenkyns, Varsha Khodiya, Maryann E. Martone, Mustapha Mokrane, Vivek Navale, Jonathan Petters, Barbara Sierman, Dina V. Sokolova, Martina Stockhause, and John Westbrook. The trust principles for digital repositories. Scientific Data, 2020. URL: https://doi.org/10.1038/s41597-020-0486-7, doi:10.1038/s41597-020-0486-7.
Derek Lowe. A field guide to authorship fraud. Science, 2016. URL: https://www.science.org/content/blog-post/field-guide-authorship-fraud.
Westreich D Mack C, Su Z. Types of Missing Data. Methods for Effective Health Care. Rockville (MD): Agency for Healthcare Research and Quality (US), 2018. URL: https://www.ncbi.nlm.nih.gov/books/NBK493614/.
Fernando T. Maestre. Ten simple rules towards healthier research labs. PLOS Computational Biology, 15(4):e1006914, April 2019. URL: https://doi.org/10.1371/journal.pcbi.1006914, doi:10.1371/journal.pcbi.1006914.
Adam Marcus and Ivan Oransky. Why fake data when you can fake a scientist? Nautilus, 2016. URL: https://nautil.us/why-fake-data-when-you-can-fake-a-scientist-236220/.
Adam Marcus and Ivan Oransky. The data thugs. Science, 359:730–732, 2018. URL: https://www.science.org/doi/full/10.1126/science.359.6377.730.
Florian Markowetz. Five selfish reasons to work reproducibly. Genome Biol., 16(1):1–4, Dec 2015. doi:10.1186/s13059-015-0850-7.
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.
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.
Peggy McIntosh. White privilege: unpacking the invisible knapsack. 1988. URL: https://admin.artsci.washington.edu/sites/adming/files/unpacking-invisible-knapsack.pdf.
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.
Michelle Meyer. Practical Tips for Ethical Data Sharing. Advances in Methods and Practices in Psychological Science, 1(1):131––144, 2018. doi:10.1177/2515245917747656.
William K. Michener. Ten simple rules for creating a good data management plan. PLoS Comput Biology, 2015. URL: https://doi.org/10.1371/journal.pcbi.1004525, doi:10.1371/journal.pcbi.1004525.
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Ruben Sanchez-Garcia, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, and Ben D. MacArthur. Learning from data with structured missingness. Nature Machine Intelligence, 5(1):13–23, January 2023. URL: https://doi.org/10.1038/s42256-022-00596-z, doi:10.1038/s42256-022-00596-z.
Barend Mons, Cameron Neylon, Jan Velterop, Michel Dumontier, Luiz Olavo Bonino da Silva Santos, and Mark Wilkinson. Cloudy, increasingly fair; revisiting the fair data guiding principles for the european open science cloud. Information Services & Use, 37:1–8, 02 2017. doi:10.3233/ISU-170824.
Myura Nagendran, Yang Chen, Christopher A. Lovejoy, Anthony C. Gordon, Matthieu Komorowski, Hugh Harvey, Eric J. Topol, John P. A. Ioannidis, Gary S. Collins, and Mahiben Maruthappu. Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies. BMJ, 368:m689, Mar 2020. doi:10.1136/bmj.m689.
Arvind Narayanan and Vitaly Shmatikov. Robust de-anonymization of large sparse datasets. In Proceedings - IEEE Symposium on Security and Privacy, 111–125. 2008. doi:10.1109/SP.2008.33.
Kaare M. Nielsen. Biosafety data as confidential business information. PLOS Biology, 11(3):1–6, 03 2013. URL: https://doi.org/10.1371/journal.pbio.1001499, doi:10.1371/journal.pbio.1001499.
David Norris, Ulrich Dirnagl, Michael J. Zigmond, Katherine Thompson-Peer, and Tracy T. Chow. Health tips for research groups. Nature, 557(7705):302–304, May 2018. URL: https://doi.org/10.1038/d41586-018-05146-5, doi:10.1038/d41586-018-05146-5.
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.
Corporate. 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.
Luke Oluwaseye Joel, Wesley Doorsamy, and Babu Sena Paul. A review of missing data handling techniques for machine learning. International Journal of Innovative Technology and Interdisciplinary Sciences, 5(3):971–1005, Sep. 2022. URL: https://journals.tultech.eu/index.php/ijitis/article/view/94, doi:10.15157/IJITIS.2022.5.3.971-1005.
Elinor Ostrom. Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge University Press, Cambridge, England, UK, November 1990. ISBN 978-0-52137101-8. doi:10.1017/CBO9780511807763.
Elinor Ostrom. Understanding Institutional Diversity / E. Ostrom. Princeton, NJ, January 2005. URL: https://www.researchgate.net/publication/50209015_Understanding_Institutional_Diversity_E_Ostrom.
Richard Owen, Phil Macnaghten, and Jack Stilgoe. Responsible research and innovation: From science in society to science for society, with society. Sci. Public Policy, 39(6):751–760, Dec 2012. doi:10.1093/scipol/scs093.
Varad Pande and Keyzom Ngodup Massally. How digital public goods could tackle big global dilemmas. June 2024. [Online; accessed 7. Jun. 2024]. URL: https://www.weforum.org/agenda/2022/05/digital-public-goods-open-source-technology-ecosystem.
Michaela Panter. Credit where credit is due: best practices for authroship attribution. 2021. [Online; accessed 11. Aug. 2021]. URL: https://www.aje.com/en/arc/ethics-manuscript-authorship/.
A. B. Pedersen, E. M. Mikkelsen, D. Cronin-Fenton, N. R. Kristensen, T. M. Pham, L. Pedersen, and I. Petersen. Missing data and multiple imputation in clinical epidemiological research. Clin Epidemiol, 9:157–166, 2017. doi:10.2147/clep.S129785.
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Andreas Müller, Joel Nothman, Gilles Louppe, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, and Édouard Duchesnay. Scikit-learn: Machine Learning in Python. arXiv, 2012. URL: https://arxiv.org/abs/1201.0490, doi:10.48550/ARXIV.1201.0490.
Therese D. Pigott. A review of methods for missing data. Educational Research and Evaluation, 7(4):353–383, 2001. URL: https://doi.org/10.1076/edre.7.4.353.8937, arXiv:https://doi.org/10.1076/edre.7.4.353.8937, doi:10.1076/edre.7.4.353.8937.
Alexandra C. Pike, Kathryn E. Atherton, Yannik Bauer, Ben M. Crittenden, Freek van Ede, Sam Hall-McMaster, Alexander H. von Lautz, Paul S. Muhle-Karbe, Alexandra M. Murray, Nicholas E. Myers, Frida Printzlau, Ilenia Salaris, Eelke Spaak, Lev Tankelevitch, Darinka Trubutschek, Dante Wasmuht, and MaryAnn P. Noonan. 10 simple rules for a supportive lab environment. Journal of Cognitive Neuroscience, 35(1):44–48, December 2022. URL: https://doi.org/10.1162/jocn_a_01928, doi:10.1162/jocn_a_01928.
H. Piwowar, J. Priem, V. Lariviere, J.P. Alperin, L. Matthias, B. Norlander, A. Farley, J. West, and S Haustein. The state of OA: a large-scale analysis of the prevalence and impact of Open Access articles. PeerJ, 6:e4375, Feb 2018. doi:10.7717/peerj.4375.
Hans E. Plesser. Reproducibility vs. Replicability: A Brief History of a Confused Terminology. Front. Neuroinf., Jan 2018. doi:10.3389/fninf.2017.00076.
C. MIRJAM VAN PRAAG and BERNARD M.S. VAN PRAAG. The benefits of being economics professor a (rather than z). Economica, 75(300):782–796, November 2008. URL: https://doi.org/10.1111/j.1468-0335.2007.00653.x, doi:10.1111/j.1468-0335.2007.00653.x.
Sara Reardon. Pig brains kept alive outside body for hours after death. Nature, 568:283–284, 2019. URL: https://www.nature.com/articles/d41586-019-01216-4.
Britta Ricker. Reflexivity, positionality and rigor in the context of big data research. In Thinking Big Data in Geography: New Regimes, New Research. University of Iowa Press, 2017. URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2911652.
Matthias C. Rillig. Ten simple rules for how you can help make your lab a better place as a graduate student or postdoc. PLOS Computational Biology, 18(12):e1010673, December 2022. URL: https://doi.org/10.1371/journal.pcbi.1010673, doi:10.1371/journal.pcbi.1010673.
Salvador Rodriguez. Instagram surpasses 2 billion monthly users while powering through a year of turmoil. December 2021. [Online; accessed 15. Nov. 2023]. URL: https://www.cnbc.com/2021/12/14/instagram-surpasses-2-billion-monthly-users.html.
Tony Ross-Hellauer, Arvin Deppe, and Birgit Schmidt. Survey on open peer review: attitudes and experience amongst editors, authors and reviewers. PLoS ONE, 12(12):1–28, December 2017. URL: https://doi.org/10.1371/journal.pone.0189311, doi:10.1371/journal.pone.0189311.
Jeffrey N. Rouder, Julia M. Haaf, and Hope K. Snyder. Minimizing mistakes in psychological science. Advances in Methods and Practices in Psychological Science, 2(1):3–11, January 2019. URL: https://doi.org/10.1177/2515245918801915, doi:10.1177/2515245918801915.
Donald B. Rubin. Inference and missing data. Biometrika, 63(3):581–592, 12 1976. URL: https://doi.org/10.1093/biomet/63.3.581, arXiv:https://academic.oup.com/biomet/article-pdf/63/3/581/756166/63-3-581.pdf, doi:10.1093/biomet/63.3.581.
Nidia Ruedas-Gracia, Crystal M. Botham, Amber R. Moore, and Courtney Pena. Ten simple rules for creating a sense of belonging in your research group. PLOS Computational Biology, 18(12):e1010688, December 2022. URL: https://doi.org/10.1371/journal.pcbi.1010688, doi:10.1371/journal.pcbi.1010688.
Salome Scholtens, Mijke Jetten, Jasmin Böhmer, Christine Staiger, Inge Slouwerhof, Marije van der Geest, and Celia W.G. van Gelder. Final report: Towards FAIR data steward as profession for the lifesciences. Report of a ZonMw funded collaborative approach built on existing expertise. October 2019. URL: https://doi.org/10.5281/zenodo.3474789, doi:10.5281/zenodo.3474789.
Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, and Kees Joost Batenburg. Going green: optimizing gpus for energy efficiency through model-steered auto-tuning. 2022. arXiv:2211.07260.
S. Andrew Schroeder. An Ethical Framework for Presenting Scientific Results to Policy-Makers. Kennedy Institute of Ethics Journal, 32(1):33–67, 2022. URL: https://muse.jhu.edu/pub/1/article/852736 (visited on 2023-11-07).
Roy Schwartz, Jesse Dodge, Noah A. Smith, and Oren Etzioni. Green ai. Commun. ACM, 63(12):54–63, nov 2020. URL: https://doi.org/10.1145/3381831, doi:10.1145/3381831.
Malvika Sharan. Open communities and promoting a culture of collaboration. Zenodo, Apr 2020. doi:10.5281/zenodo.3745008.
Malvika Sharan. Can we reimagine FAIR for building communities in open science? Zenodo, Sep 2021. doi:10.5281/zenodo.5518163.
Matthias Stachowski, Alexander Fiebig, and Thomas Rauber. Autotuning based on frequency scaling toward energy efficiency of blockchain algorithms on graphics processing units. The Journal of Supercomputing, 77(1):263–291, 2020. doi:10.1007/s11227-020-03263-5.
Balint Stewart, Emily Oliver, and Louise McGrath-Lone. What is ‘research-ready’ data? 2022. URL: https://www.adruk.org/fileadmin/uploads/adruk/Documents/What_is_research_ready_data__A_roundtable_report_June_2022.pdf.
Victoria Stodden. Edge.org. May 2014. [Online; accessed 27. May 2020]. URL: https://www.edge.org/response-detail/25340.
Maureen Stone. A Field Guide to Digital Color. AK Peters, Ltd, 2003. ISBN 978-1568811611. URL: https://openlibrary.org/works/OL6130168W/A_Field_Guide_to_Digital_Color.
Emma Strubell, Ananya Ganesh, and Andrew McCallum. Energy and policy considerations for deep learning in NLP. CoRR, 2019. URL: http://arxiv.org/abs/1906.02243, arXiv:1906.02243.
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.
Xiaoxun Sun, Hua Wang, and Yanchun Zhang. On the identity anonymization of high-dimensional rating data. In Concurrency Computation Practice and Experience, volume 24, 1108–1122. John Wiley & Sons, Ltd, July 2012. doi:10.1002/cpe.1724.
Data Study Group Team. Data study group final report - roche. 2020. URL: https://www.turing.ac.uk/news/publications/data-study-group-final-report-roche, doi:http://doi.org/10.5281/zenodo.3876989.
Benjamin C. Tendler, Maddie Welland, Karla L. Miller, and The WIN Handbook Team. Research culture: why every lab needs a handbook. eLife, 2023. URL: https://doi.org/10.7554/eLife.88853, doi:10.7554/eLife.88853.
Jonathan P. Tennant, Francois Waldner, Damien C. Jacques, Paola Masuzzo, Lauren B. Collister, and Chris. H. J. Hartgerink. The academic, economic and societal impacts of Open Access: an evidence-based review. F1000Research, 5:632, Sep 2016. doi:10.12688/f1000research.8460.3.
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.
Amirsina Torfi, Edward A. Fox, and Chandan K. Reddy. Differentially Private Synthetic Medical Data Generation using Convolutional GANs. arXiv:2012.11774 [cs], December 2020. arXiv:2012.11774.
Alexander C. Tsai, Brandon A. Kohrt, Lynn T. Matthews, Theresa S. Betancourt, Jooyoung K. Lee, Andrew V. Papachristos, Sheri D. Weiser, Marian Dworkin, Shari L.Petre, and Greg Wilson. Promises and pitfalls of data sharing in qualitative research. Social Science & Medicine, pages 191–198, July 2016. URL: http://dx.doi.org/10.1016/j.socscimed.2016.08.004, doi:10.1016/j.socscimed.2016.08.004.
Edward R. Tufte. The Visual Display of Quantitative Information. Graphics Press, 2001. ISBN 978-0961392147. URL: https://openlibrary.org/works/OL2824012W/The_Visual_Display_of_Quantitative_Information.
Ayesha I. T. Tulloch, Nancy Auerbach, Stephanie Avery-Gomm, Elisa Bayraktarov, Nathalie Butt, Chris R. Dickman, Glenn Ehmke, Diana O. Fisher, Hedley Grantham, Matthew H. Holden, Tyrone H. Lavery, Nicholas P. Leseberg, Miles Nicholls, James O’Connor, Leslie Roberson, Anita K. Smyth, Zoe Stone, Vivitskaia Tulloch, Eren Turak, Glenda M. Wardle, and James E. M. Watson. A decision tree for assessing the risks and benefits of publishing biodiversity data. Nature Ecology & Evolution, 2(8):1209–1217, August 2018. URL: https://doi.org/10.1038/s41559-018-0608-1, doi:10.1038/s41559-018-0608-1.
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.
Health Data Research UK. Involving and engaging patients and the public. 2023. URL: https://www.hdruk.ac.uk/about-us/involving-and-engaging-patients-and-the-public/ (visited on 2023-11-09).
Myriam Vidal Valero. Thousands of scientists are cutting back on Twitter, seeding angst and uncertainty. Nature 🔒, 620(7974):482–484, 08 2023. URL: https://doi.org/10.1038/d41586-023-02554-0, doi:10.1038/d41586-023-02554-0.
Stef van Buuren and Karin Groothuis-Oudshoorn. Mice: multivariate imputation by chained equations in r. Journal of Statistical Software, 45(3):1–67, 2011. URL: https://www.jstatsoft.org/index.php/jss/article/view/v045i03, doi:10.18637/jss.v045.i03.
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.
Ingeborg Verheul, Imming, Melanie, Jacquelijn Ringersma, Annemie Mordant, Jan-Lucas van der Ploeg, and Martine Pronk. Data Stewardship on the map: A study of tasks and roles in Dutch research institutes. May 2019. URL: https://doi.org/10.5281/zenodo.2669150, doi:10.5281/zenodo.2669150.
I. R. White, P. Royston, and A. M. Wood. Multiple imputation using chained equations: issues and guidance for practice. Stat Med, 30(4):377–99, 2011. doi:10.1002/sim.4067.
H. Wickham. A layered grammar of graphics. Journal of Computational and Graphical Statistics, 2010. URL: https://doi.org/10.1198/jcgs.2009.07098, doi:10.1198/jcgs.2009.07098.
Hadley Wickham. Tidy data. Journal of Statistical Software, 2014. URL: https://doi.org/10.18637/jss.v059.i10, doi:10.18637/jss.v059.i10.
Claus Wilke. Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures. O'Reilly Media, 2019. ISBN 978-1492031086. URL: https://clauswilke.com/dataviz/.
Leland Wilkinson. The Grammar of Graphics. Springer, 1999. ISBN 978-0387987743. URL: https://openlibrary.org/works/OL18235300W/The_grammar_of_graphics.
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 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.
Joseph S Wislar, Annette Flanagin, Phil B Fontanarosa, and Catherine D DeAngelis. Honorary and ghost authorship in high impact biomedical journals: a cross sectional survey. BMJ, 2011. URL: https://www.bmj.com/content/343/bmj.d6128, arXiv:https://www.bmj.com/content/343/bmj.d6128.full.pdf, doi:10.1136/bmj.d6128.
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.
Adrienne D. Woods, Daria Gerasimova, Ben Van Dusen, Jayson Nissen, Sierra Bainter, Alex Uzdavines, Pamela E. Davis-Kean, Max Halvorson, Kevin M. King, Jessica A. R. Logan, Menglin Xu, Martin R. Vasilev, James M. Clay, David Moreau, Keven Joyal-Desmarais, Rick A. Cruz, Denver M. Y. Brown, Kathleen Schmidt, and Mahmoud M. Elsherif. Best practices for addressing missing data through multiple imputation. Infant and Child Development, 33(1):e2407, 2024. URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/icd.2407, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/icd.2407, doi:https://doi.org/10.1002/icd.2407.
Cassandra Worthy. Change Enthusiasm How to Harness the Power of Emotion for Leadership and Success. Hay House Business, 2021. ISBN 9781401961770. URL: https://cassandraworthy.com/meeting-professionals/.
Jesper N. Wulff and Linda Ejlskov Jeppesen. Multiple imputation by chained equations in praxis: guidelines and review. Electronic Journal of Business Research Methods, 15(1):41–56, 2017.
Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne Winslett, and Xiaokui Xiao. Differential privacy in data publication and analysis. In Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12, 601–606. New York, NY, USA, May 2012. Association for Computing Machinery. doi:10.1145/2213836.2213910.
Glenda M. Yenni, Erica M. Christensen, Ellen K Bledsoe, Sarah R. Supp, Renata M. Diaz, Ethan P. White, and S.K. Morgan Ernest. Developing a modern data workflow for evolving data. bioRxiv, 2018. URL: https://doi.org/10.1101/344804, doi:10.1101/344804.
Brian Hu Zhang, Blake Lemoine, and Margaret Mitchell. Mitigating Unwanted Biases with Adversarial Learning. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, AIES '18, 335–340. New York, NY, USA, December 2018. Association for Computing Machinery. doi:10/gftmfb.
Kevin J. S. Zollman. The Credit Economy and the Economic Rationality of Science. Journal of Philosophy, 115(1):5–33, Feb 2018. doi:10.5840/jphil201811511.
Simon Portegies Zwart. The ecological impact of high-performance computing in astrophysics. Nature Astronomy, 4(9):819–822, sep 2020. URL: https://doi.org/10.1038%2Fs41550-020-1208-y, doi:10.1038/s41550-020-1208-y.
Business of Apps. Twitter revenue and usage statistics 2023. 2023. URL: https://www.businessofapps.com/data/twitter-statistics/.
Charles M Schweik and Robert English. Tragedy of the FOSS Commons? Investigating the Institutional Designs of Free/Libre and Open Source Software Projects. Charles M Schweik, April 2007. doi:10.5210/fm.v12i2.1619.
Directorate-General for Research and Innovation (European Commission). European textbook on ethics in research. Publications Office of the European Union, Jan 2011. ISBN 978-92-79-17543-5. URL: https://op.europa.eu/en/publication-detail/-/publication/0f37f142-c333-40a8-90a7-bba25c314720/language-en.
Meta. Press release: Meta reports second quarter 2023 results. July 2023. [Online; accessed 15. Nov. 2023]. URL: https://investor.fb.com/investor-news/press-release-details/2023/Meta-Reports-Second-Quarter-2023-Results/default.aspx.
Open Science Collaboration. Estimating the reproducibility of psychological science. Science, 349(6251):aac4716, Aug 2015. doi:10.1126/science.aac4716.
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.