@book{AhnertEtAl2023CollaborativeHistoricalResearch,
  title = {Collaborative {{Historical Research}} in the {{Age}} of {{Big Data}}: {{Lessons}} from an {{Interdisciplinary Project}}},
  shorttitle = {Collaborative {{Historical Research}} in the {{Age}} of {{Big Data}}},
  author = {Ahnert, Ruth and Griffin, Emma and Ridge, Mia and Tolfo, Giorgia},
  date = {2023},
  series = {Cambridge {{Elements}}: {{Historical Theory}} and {{Practice}}},
  publisher = {Cambridge University Press},
  location = {Cambridge},
  doi = {10.1017/9781009175548},
  url = {https://www.cambridge.org/core/elements/collaborative-historical-research-in-the-age-of-big-data/839C422CCAA6C1699DE8D353B3A1960D},
  urldate = {2023-01-26},
  abstract = {This book is output of the Living with Machines project},
  langid = {english},
  language = {en},
  keywords = {field: History,project: documentation,Project: Methods Lab 🥼},
  file = {/home/drezil/Zotero/storage/ET5S8DMH/Ahnert et al. - 2023 - Collaborative Historical Research in the Age of Big Data Lessons from an Interdisciplinary Project.pdf}
}
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@report{AltenhonerEtAl2023DFGPraxisregeln,
  title = {DFG-Praxisregeln "Digitalisierung". Aktualisierte Fassung 2022.},
  author = {Altenhöner, Reinhard and Berger, Andreas and Bracht, Christian and Klimpel, Paul and Meyer, Sebastian and Neuburger, Andreas and Stäcker, Thomas and Stein, Regine},
  date = {2023-02-16},
  url = {https://zenodo.org/record/7435724},
  urldate = {2023-03-07},
  abstract = {Die DFG-Praxisregeln „Digitalisierung“ stellen eine zentrale Grundlage für DFG-geförderte Projekte im Programm „Digitalisierung und Erschließung“ dar: Sie formulieren Standards und enthalten Informationen zu organisatorischen, methodischen und technischen Fragen im Kontext der Digitalisierung und Erschließung forschungsrelevanter Objekte. Sie leisten damit einen wichtigen Beitrag zur Nachhaltigkeit, Zugänglichkeit und Anschlussfähigkeit geförderter Projekte und der in diesem Zusammenhang entstehenden Infrastruktur. Das vorliegende Dokument stellt eine aktualisierte Fassung der zuletzt 2016 durch die DFG publizierten Praxisregeln dar. Es wurde in Absprache mit der DFG-Geschäftsstelle durch eine vom NFDI-Konsortium NFDI4Culture initiierte Autor*innengruppe erarbeitet, deren Mitglieder mehrheitlich seit langem an der Ausgestaltung der Praxisregeln beteiligt waren sowie aktiv in die NFDI-Konsortien NFDI4Culture, NFDI4Memory, NFDI4Objects und Text+ eingebunden sind. Die jetzt überarbeitet vorliegenden Praxisregeln „Digitalisierung“ dienen als Ausgangspunkt für eine material- und communitybezogene Ausdifferenzierung der Praxisregeln durch die Communitys. Alle mit der Digitalisierung forschungsrelevanter Objekte befassten Communitys und Einrichtungen sind dazu aufgerufen, mit ihrer Expertise am weiteren Prozess mitzuwirken.},
  langid = {deu},
  language = {deu},
  keywords = {Digital Scholarly Editions,Digitalisierung,Erschließung,Informationsinfrastrukturen,NFDI,Praxisregeln,project: documentation,Project: Methods Lab 🥼,Standardbildung,TEI: Text Encoding Initiative},
  file = {/home/drezil/Zotero/storage/46FYRPPH/Altenhöner et al. - 2023 - DFG-Praxisregeln Digitalisierung. Aktualisierte Fassung 2022..pdf}
}
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@article{BarkerEtAl2022IntroducingFAIR,
  title = {Introducing the {{FAIR Principles}} for Research Software},
  author = {Barker, Michelle and Chue Hong, Neil P. and Katz, Daniel S. and Lamprecht, Anna-Lena and Martinez-Ortiz, Carlos and Psomopoulos, Fotis and Harrow, Jennifer and Castro, Leyla Jael and Gruenpeter, Morane and Martinez, Paula Andrea and Honeyman, Tom},
  date = {2022-10-14},
  journaltitle = {Scientific Data},
  shortjournal = {Sci Data},
  volume = {9},
  number = {1},
  pages = {622},
  publisher = {Nature Publishing Group},
  issn = {2052-4463},
  doi = {10.1038/s41597-022-01710-x},
  url = {https://www.nature.com/articles/s41597-022-01710-x},
  urldate = {2024-09-10},
  abstract = {Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, and sustainability exist. Improving the practice of scholarship is a common goal of the open science, open source, and FAIR (Findable, Accessible, Interoperable and Reusable) communities and research software is now being understood as a type of digital object to which FAIR should be applied. This emergence reflects a maturation of the research community to better understand the crucial role of FAIR research software in maximising research value. The FAIR for Research Software (FAIR4RS) Working Group has adapted the FAIR Guiding Principles to create the FAIR Principles for Research Software (FAIR4RS Principles). The contents and context of the FAIR4RS Principles are summarised here to provide the basis for discussion of their adoption. Examples of implementation by organisations are provided to share information on how to maximise the value of research outputs, and to encourage others to amplify the importance and impact of this work.},
  langid = {english},
  language = {en},
  keywords = {Policy,project: documentation,Project: Methods Lab 🥼,Research management,RSE: Research Software Engineering},
  file = {/home/drezil/Zotero/storage/VRFPNWKW/VRFPNWKW_Barker et al. - 2022 - Introducing the FAIR Principles for research software.pdf}
}
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@book{CremerEtAl2024Projektmanagement,
  title = {Projektmanagement und Digital Humanities: Zur klugen Gestaltung der Zusammenarbeit},
  editor = {Cremer, Fabian and Dogunke, Swantje and Neubert, Anna Maria and Wübbena, Thorsten},
  date = {2024-04},
  publisher = {Bielefeld University Press},
  location = {Bielefeld},
  doi = {10.14361/9783839469675},
  abstract = {Die Professionalisierung des Projektmanagements in den Digital Humanities: Theorie und Praxis zum Weiterdenken.},
  langid = {ngerman},
  language = {de},
  keywords = {field: Digital Humanities (DH),Project management,project: documentation,Project: Methods Lab 🥼},
  file = {/home/drezil/Zotero/storage/GYJK3NUY/Cremer et al. - 2024 - Projektmanagement und Digital Humanities Zur klugen Gestaltung der Zusammenarbeit.pdf;/home/drezil/Zotero/storage/XQ6AI49P/Cremer et al. - 2024 - Projektmanagement und Digital Humanities Zur klugen Gestaltung der Zusammenarbeit.pdf}
}
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@article{Diehl2025JournalOpenSource,
  title = {The {{Journal}} of {{Open Source Software}} ({{JOSS}}): {{Bringing Open-Source Software Practices}} to the {{Scholarly Publishing Community}} for {{Authors}}, {{Reviewers}}, {{Editors}}, and {{Publishers}}},
  shorttitle = {The {{Journal}} of {{Open Source Software}} ({{JOSS}})},
  author = {Diehl, Patrick and Soneson, Charlotte and Kurchin, Rachel C. and Mounce, Ross and Katz, Daniel S.},
  date = {2025-02-04},
  journaltitle = {Journal of Librarianship and Scholarly Communication},
  volume = {12},
  number = {2},
  publisher = {Iowa State University Digital Press},
  issn = {2162-3309},
  doi = {10.31274/jlsc.18285},
  url = {https://www.iastatedigitalpress.com/jlsc/article/id/18285/},
  urldate = {2025-05-15},
  abstract = {Introduction: Open-source software (OSS) is a critical component of open science, but contributions to the OSS ecosystem are systematically undervalued in the current academic system. The Journal of Open Source Software (JOSS) contributes to addressing this by providing a venue (that is itself free, diamond open access, and all open-source, built in a layered structure using widely available elements/services of the scholarly publishing ecosystem) for publishing OSS, run in the style of OSS itself. A particularly distinctive element of JOSS is that it uses open peer review in a collaborative, iterative format, unlike most publishers. Additionally, all the components of the process—from the reviews to the papers to the software that is the subject of the papers to the software that the journal runs—are open. Background: We describe JOSS’s history and its peer review process using an editorial bot, and we present statistics gathered from JOSS’s public review history on GitHub showing an increasing number of peer reviewed papers each year. We discuss the new JOSSCast and use it as a data source to understand reasons why interviewed authors decided to publish in JOSS. Discussion and Outlook: JOSS’s process differs significantly from traditional journals, which has impeded JOSS’s inclusion in indexing services such as Web of Science. In turn, this discourages researchers within certain academic systems, such as Italy’s, which emphasize the importance of Web of Science and/or Scopus indexing for grant applications and promotions. JOSS is a fully diamond open-access journal with a cost of around US\$5 per paper for the 401 papers published in 2023. The scalability of running JOSS with volunteers and financing JOSS with grants and donations is discussed.},
  issue = {2},
  langid = {english},
  language = {eng},
  keywords = {project: documentation,Project: Methods Lab 🥼},
  file = {/home/drezil/Zotero/storage/G4T6JNUU/Diehl et al. - 2025 - The Journal of Open Source Software (JOSS) Bringing Open-Source Software Practices to the Scholarly.pdf}
}
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@misc{EndingsPrinciples221,
  title = {Endings {{Principles}} for {{Digital Longevity}}},
  shorttitle = {Endings {{Principles}}},
  author = {{Endings Project Team}},
  date = {2023-03-03},
  url = {https://endings.uvic.ca/principles.html},
  urldate = {2024-05-14},
  abstract = {Enabling Sustainable Digital Humanities Projects},
  langid = {english},
  language = {en},
  version = {2.2.1},
  keywords = {project: documentation,Project: Methods Lab 🥼,Project: Tool Registry 🧰,talk: 2024 Bochum,writing: 2024 Tool Registry}
}
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@standard{Forschungsgemeinschaft2025LeitlinienzurSicherung,
  title = {Leitlinien zur Sicherung guter wissenschaftlicher Praxis},
  date = {2024-09},
  publisher = {Deutsche Forschungsgemeinschaft},
  doi = {10.5281/zenodo.14281892},
  url = {https://zenodo.org/records/14281892},
  urldate = {2025-05-15},
  abstract = {The DFG´s Code of Conduct “Safeguarding Good Research Practice” represents the consensus among the member organisations of the DFG on the fundamental principles and standards of good practice and are upheld by these organisations. These guidelines underline the importance of integrity in the everyday practice of research and provide researchers with a reliable reference with which to embed good research practice as an established and binding aspect of their work.},
  langid = {ngerman},
  language = {de},
  version = {1.2},
  keywords = {code of conduct,Deutsche Forschungsgemeinschaft,DFG,German research foundation,good scientific practice,gute wissenschaftliche Praxis,Kodex,Leitlinien zur Sicherung guter wissenschaftlicher Praxis,project: documentation,Project: Methods Lab 🥼,research integrity,scientific misconduct,Wissenschaftliche Integrität,wissenschaftliches Fehlverhalten},
  file = {/home/drezil/Zotero/storage/DMF478TJ/2024 - Leitlinien zur Sicherung guter wissenschaftlicher Praxis.pdf}
}
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@article{Hasselbring2020OpenSourceResearch,
  title = {Open {{Source Research Software}}},
  author = {Hasselbring, Wilhelm and Carr, Leslie and Hettrick, Simon and Packer, Heather and Tiropanis, Thanassis},
  date = {2020-08},
  journaltitle = {Computer},
  shortjournal = {Computer},
  volume = {53},
  number = {8},
  pages = {84--88},
  issn = {0018-9162, 1558-0814},
  doi = {10.1109/MC.2020.2998235},
  url = {https://ieeexplore.ieee.org/document/9153295/},
  urldate = {2025-06-05},
  keywords = {Praxisregeln,project: documentation,Project: Methods Lab 🥼,Research Software Engineering,Standardbildung},
  file = {/home/drezil/Zotero/storage/E8CWCEFF/Hasselbring et al. - 2020 - Open Source Research Software.pdf}
}
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@article{JimenezEtAl2017FourSimpleRecommendations,
  title = {Four Simple Recommendations to Encourage Best Practices in Research Software},
  author = {Jiménez, Rafael C. and Kuzak, Mateusz and Alhamdoosh, Monther and Barker, Michelle and Batut, Bérénice and Borg, Mikael and Capella-Gutierrez, Salvador and Chue Hong, Neil and Cook, Martin and Corpas, Manuel and Flannery, Madison and Garcia, Leyla and Gelpí, Josep Ll. and Gladman, Simon and Goble, Carole and González Ferreiro, Montserrat and Gonzalez-Beltran, Alejandra and Griffin, Philippa C. and Grüning, Björn and Hagberg, Jonas and Holub, Petr and Hooft, Rob and Ison, Jon and Katz, Daniel S. and Leskošek, Brane and López Gómez, Federico and Oliveira, Luis J. and Mellor, David and Mosbergen, Rowland and Mulder, Nicola and Perez-Riverol, Yasset and Pergl, Robert and Pichler, Horst and Pope, Bernard and Sanz, Ferran and Schneider, Maria V. and Stodden, Victoria and Suchecki, Radosław and Svobodová Vařeková, Radka and Talvik, Harry-Anton and Todorov, Ilian and Treloar, Andrew and Tyagi, Sonika and Van Gompel, Maarten and Vaughan, Daniel and Via, Allegra and Wang, Xiaochuan and Watson-Haigh, Nathan S. and Crouch, Steve},
  date = {2017-06-13},
  journaltitle = {F1000Research},
  shortjournal = {F1000Res},
  volume = {6},
  pages = {876},
  issn = {2046-1402},
  doi = {10.12688/f1000research.11407.1},
  url = {https://f1000research.com/articles/6-876/v1},
  urldate = {2025-06-05},
  abstract = {Scientific research relies on computer software, yet software is not always developed following practices that ensure its quality and sustainability. This manuscript does not aim to propose new software development best practices, but rather to provide simple recommendations that encourage the adoption of existing best practices. Software development best practices promote better quality software, and better quality software improves the reproducibility and reusability of research. These recommendations are designed around Open Source values, and provide practical suggestions that contribute to making research software and its source code more discoverable, reusable and transparent. This manuscript is aimed at developers, but also at organisations, projects, journals and funders that can increase the quality and sustainability of research software by encouraging the adoption of these recommendations.},
  langid = {english},
  language = {en},
  keywords = {Praxisregeln,project: documentation,Project: Methods Lab 🥼,Research Software Engineering},
  file = {/home/drezil/Zotero/storage/86E3F4DV/Jiménez et al. - 2017 - Four simple recommendations to encourage best practices in research software.pdf}
}
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@inproceedings{KluyverEtAl2016JupyterNotebookspublishing,
  title = {Jupyter {{Notebooks}} – a Publishing Format for Reproducible Computational Workflows},
  author = {Kluyver, Thomas and Ragan-Kelley, Benjamin and Pérez, Fernando and Granger, Brian and Bussonnier, Matthias and Frederic, Jonathan and Kelley, Kyle and Hamrick, Jessica and Grout, Jason and Corlay, Sylvain and Ivanov, Paul and Avila, Damián and Abdalla, Safia and Willing, Carol and Jupyter development team},
  editor = {Loizides, Fernando and Scmidt, Birgit},
  namea = {Kluyver, Thomas and Ragan-Kelley, Benjamin and Pérez, Fernando and Granger, Brian and Bussonnier, Matthias and Frederic, Jonathan and Kelley, Kyle and Hamrick, Jessica and Grout, Jason and Corlay, Sylvain and Ivanov, Paul and Avila, Damián and Abdalla, Safia and Willing, Carol and Jupyter development team and Loizides, Fernando and Scmidt, Birgit},
  nameatype = {collaborator},
  date = {2016},
  pages = {87--90},
  publisher = {IOS Press},
  doi = {10.3233/978-1-61499-649-1-87},
  url = {https://eprints.soton.ac.uk/403913/},
  urldate = {2025-05-15},
  abstract = {It is increasingly necessary for researchers in all fields to write computer code, and in order to reproduce research results, it is important that this code is published. We present Jupyter notebooks, a document format for publishing code, results and explanations in a form that is both readable and executable. We discuss various tools and use cases for notebook documents.},
  eventtitle = {20th {{International Conference}} on {{Electronic Publishing}} (01/01/16)},
  langid = {english},
  language = {en},
  keywords = {project: documentation,Project: Methods Lab 🥼},
  file = {/home/drezil/Zotero/storage/QB33NJLA/Kluyver et al. - 2016 - Jupyter Notebooks – a publishing format for reproducible computational workflows.pdf}
}
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@article{Lamprecht2020TowardsFAIRPrinciples,
  title = {Towards {{FAIR}} Principles for~Research~Software},
  author = {Lamprecht, Anna-Lena and Garcia, Leyla and Kuzak, Mateusz and Martinez, Carlos and Arcila, Ricardo and Martin Del Pico, Eva and Dominguez Del Angel, Victoria and family=Sandt, given=Stephanie, prefix=van de, useprefix=true and Ison, Jon and Martinez, Paula Andrea and McQuilton, Peter and Valencia, Alfonso and Harrow, Jennifer and Psomopoulos, Fotis and Gelpi, Josep Ll. and Chue Hong, Neil and Goble, Carole and Capella-Gutierrez, Salvador},
  date = {2020-06-12},
  journaltitle = {Data Science},
  volume = {3},
  number = {1},
  pages = {37--59},
  publisher = {SAGE Publications},
  issn = {2451-8484},
  doi = {10.3233/DS-190026},
  url = {https://doi.org/10.3233/DS-190026},
  urldate = {2025-05-15},
  abstract = {The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility, interoperability and reusability of digital research objects for both humans and machines. Until now the FAIR principles have been mostly applied to research data. The ideas behind these principles are, however, also directly relevant to research software. Hence there is a distinct need to explore how the FAIR principles can be applied to software. In this work, we aim to summarize the current status of the debate around FAIR and software, as basis for the development of community-agreed principles for FAIR research software in the future. We discuss what makes software different from data with regard to the application of the FAIR principles, and which desired characteristics of research software go beyond FAIR. Then we present an analysis of where the existing principles can directly be applied to software, where they need to be adapted or reinterpreted, and where the definition of additional principles is required. Here interoperability has proven to be the most challenging principle, calling for particular attention in future discussions. Finally, we outline next steps on the way towards definite FAIR principles for research software.},
  langid = {english},
  language = {EN},
  keywords = {project: documentation,Project: Methods Lab 🥼},
  file = {/home/drezil/Zotero/storage/CCXUNESS/Lamprecht et al. - 2020 - Towards FAIR principles for research software.pdf}
}
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@article{Lee2018Tensimplerules,
  title = {Ten Simple Rules for Documenting Scientific Software},
  author = {Lee, Benjamin D.},
  date = {2018-12-20},
  journaltitle = {PLOS Computational Biology},
  shortjournal = {PLOS Computational Biology},
  volume = {14},
  number = {12},
  pages = {e1006561},
  publisher = {Public Library of Science},
  issn = {1553-7358},
  doi = {10.1371/journal.pcbi.1006561},
  url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006561},
  urldate = {2025-05-15},
  langid = {english},
  language = {en},
  keywords = {Citation analysis,Computer software,Genome analysis,Genomics,Open source software,project: documentation,Project: Methods Lab 🥼,Software development,Software tools,Source code},
  file = {/home/drezil/Zotero/storage/Y72BUDFA/Lee - 2018 - Ten simple rules for documenting scientific software.pdf}
}
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@article{PrlicProcter2012TenSimpleRules,
  title = {Ten {{Simple Rules}} for the {{Open Development}} of {{Scientific Software}}},
  author = {Prlić, Andreas and Procter, James B.},
  date = {2012-12-06},
  journaltitle = {PLOS Computational Biology},
  shortjournal = {PLOS Computational Biology},
  volume = {8},
  number = {12},
  pages = {e1002802},
  publisher = {Public Library of Science},
  issn = {1553-7358},
  doi = {10.1371/journal.pcbi.1002802},
  url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002802},
  urldate = {2025-05-15},
  langid = {english},
  language = {en},
  keywords = {Computer software,Eyes,Open source software,project: documentation,Project: Methods Lab 🥼,Research funding,Scientists,Software tools,Source code,Sustainability science},
  file = {/home/drezil/Zotero/storage/STZFWU4P/Prlić and Procter - 2012 - Ten Simple Rules for the Open Development of Scientific Software.pdf}
}
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@article{Smith2016SoftwareCitationPrinciples,
  title = {Software Citation Principles},
  author = {Smith, Arfon M. and Katz, Daniel S. and Niemeyer, Kyle E.},
  date = {2016},
  journaltitle = {PeerJ Computer Science},
  shortjournal = {PeerJ Comput. Sci.},
  volume = {2},
  publisher = {PeerJ Inc.},
  issn = {2376-5992},
  doi = {10.7717/peerj-cs.86},
  url = {https://peerj.com/articles/cs-86},
  urldate = {2020-09-11},
  abstract = {Software is a critical part of modern research and yet there is little support across the scholarly ecosystem for its acknowledgement and citation. Inspired by the activities of the FORCE11 working group focused on data citation, this document summarizes the recommendations of the FORCE11 Software Citation Working Group and its activities between June 2015 and April 2016. Based on a review of existing community practices, the goal of the working group was to produce a consolidated set of citation principles that may encourage broad adoption of a consistent policy for software citation across disciplines and venues. Our work is presented here as a set of software citation principles, a discussion of the motivations for developing the principles, reviews of existing community practice, and a discussion of the requirements these principles would place upon different stakeholders. Working examples and possible technical solutions for how these principles can be implemented will be discussed in a separate paper.},
  langid = {english},
  language = {en},
  keywords = {Eintrag bereinigt,PDF (Dropbox),project: documentation,Project: Methods Lab 🥼,Research Software Engineering},
  annotation = {Keine weiteren Informationen gefunden},
  file = {/home/drezil/Zotero/storage/XVF927LY/Smith et al. - 2016 - Software citation principles.pdf}
}
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@article{Wilson2017GoodEnoughPractices,
  title = {Good Enough Practices in Scientific Computing},
  author = {Wilson, Greg and Bryan, Jennifer and Cranston, Karen and Kitzes, Justin and Nederbragt, Lex and Teal, Tracy K.},
  date = {2017-06-22},
  journaltitle = {PLOS Computational Biology},
  shortjournal = {PLOS Computational Biology},
  volume = {13},
  number = {6},
  pages = {e1005510},
  publisher = {Public Library of Science},
  issn = {1553-7358},
  doi = {10.1371/journal.pcbi.1005510},
  url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510},
  urldate = {2025-05-15},
  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.},
  langid = {english},
  language = {en},
  keywords = {Computer software,Control systems,Data management,Metadata,Programming languages,project: documentation,Project: Methods Lab 🥼,Reproducibility,Software tools,Source code},
  file = {/home/drezil/Zotero/storage/KWWLZBNY/Wilson et al. - 2017 - Good enough practices in scientific computing.pdf}
}
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