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https://github.com/ubc-library-rc/awesome-digital-scholarship

Awesome List for Digital Scholarship
https://github.com/ubc-library-rc/awesome-digital-scholarship

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Awesome List for Digital Scholarship

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# Awesome Digital Scholarship [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

> A curated list of awesome resources for digital scholarship.

Note: the list below deliberately avoids disciplinary categorization; digital scholarship projects tend to be interdisciplinary by nature, and therefore these tools are applicable to multiple disciplines.

## Contents

- [DS tools](#ds-tools)
- [Identity management](#identity-management)
- [LibGuides](#libguides)
- [Books](#books)
- [Related Awesome Lists](#related-awesome-lists)
- [Other learning resources](Other-learning-resources)
- [Contribute](#contribute)
- [License](#license)

## DS tools

Some tools for digital scholarship work:

- [CBOX](https://commonsinabox.org) - Commons In A Box
- Take the complexity out of creating an online space, or digital commons, for your community
- [TaDiRAH](https://github.com/dhtaxonomy/TaDiRAH) - Taxonomy of Digital Research Activities in the Humanities
- [TAPoR](http://tapor.ca/home) - Discover research tools for studying texts
- [DiRT](https://digitalhumanities.berkeley.edu/projects/dirt-digital-research-tools) - Digital Research Tools
- A registry of digital research tools for scholarly use
- [dc.js](https://dc-js.github.io/dc.js/) - Dimensional Charting Javascript Library
- [Gephi](https://gephi.org/) - Visualization and exploration software for all kinds of graphs and networks
- [OpenRefine](https://openrefine.org/) - Tool for working with messy data: Cleaning it, transforming it from one format into another, and extending it with web services and external data
- [Open Science Framework](https://osf.io/) (OSF) - Platform for sharing research and enabling scholarly collaboration
- [Palladio](https://hdlab.stanford.edu/palladio/) - Visualize complex historical data with ease
- [StorylineJS](http://storyline.knightlab.com/) - Tell the story behind the numbers
- [StorymapJS](https://storymap.knightlab.com/) - Maps that tell stories
- [The Carpentries](https://carpentries.org/) - Foundational coding and data science skills for researchers
- [Data Carpentry](https://datacarpentry.org/) - Building communities teaching universal data literacy
- [Library Carpentry](https://librarycarpentry.org/) - Software and data skills for people working in library- and information-related roles
- [The Programming Historian](https://programminghistorian.org/) - Novice-friendly, peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques, and workflows to facilitate research and teaching
- [TimelineJS](https://timeline.knightlab.com/) - Easy-to-make, beautiful timelines

## Identity management

- [Open Researcher and Contributor ID](https://orcid.org/) (ORCID) - A persistent digital identifier for uniquely distinguishing researchers and their work
- [Getting Started with ORCID](https://guides.library.ubc.ca/orcid) - University of British Columbia Research Guide
- [A Guide to ORCID](https://www.cambridge.org/core/services/aop-file-manager/file/5a6f4a5ba82db8d22c8e6d85/A%20Guide%20to%20ORCID.pdf) - Cambridge University Press (PDF)
- [ORCID Research Guide](https://guides.lib.umich.edu/orcid) - University of Michigan Library

## LibGuides

- [Digital Humanities](https://guides.lib.virginia.edu/dh) - University of Virginia Library
- [Digital Humanities Research Guide](https://guides.library.ubc.ca/dh) - University of British Columbia Library
- [Digital Scholarship](https://libguides.uvic.ca/digital) - University of Victoria Libraries
- [Digital Scholarship Lab](https://brocku.ca/library/dsl/) - Brock University Library
- [Text and Data Mining](https://guides.library.ubc.ca/tdm) - University of British Columbia Library
- [Using Generative AI](https://guides.library.ualberta.ca/generative-ai) - University of Alberta

## Books

- [The Digital Humanities Literacy Guidebook](https://cmu-lib.github.io/dhlg/) - Carnegie Mellon University
- [Digital Pedagogy in the Humanities](https://github.com/curateteaching/digitalpedagogy) - Concepts, Models, and Experiments

## Organizations

- [aaDH](https://aa-dh.org/) - Australasian Association for Digital Humanities
- [ACH](https://ach.org/) - Association for Computers and the Humanities
- [ADHO](https://adho.org/) - Alliance of Digital Humanities Organizations
- [centerNet](http://dhcenternet.org/) - An international network of digital humanities centers
- [CSDH](https://csdh-schn.org/) - Canadian Society for Digital Humanities
- [DHARTI](https://dhdharti.in/) - Digital Humanities Alliance for Research and Teaching Innovations
- [DHASA](http://digitalhumanities.org.za/) - Digital Humanities Association of Southern Africa
- [DHN](http://dig-hum-nord.eu/) - Digital Humanities in the Nordic countries
- [EADH](https://eadh.org/) - European Association for Digital Humanities
- [Humanistica](http://www.humanisti.ca/) - L'association francophone des humanités numériques/digitales
- [JADH](https://www.jadh.org/) - Japanese Association for Digital Humanities
- [RedHD](http://www.humanidadesdigitales.net/) - Red de Humanidades Digitales
- [TADH](http://tadh.org.tw/en/) - Taiwanese Association for Digital Humanities

## Related Awesome Lists

- [Awesome Data Science](https://github.com/academic/awesome-datascience) - Curated list of Data Science resources
- [Awesome Dataviz](https://github.com/fasouto/awesome-dataviz) - Curated list of data visualization frameworks, libraries and software
- [Awesome Digital History](https://maehr.github.io/awesome-digital-history/) - Curated list of resources related to digital history
- [Awesome Information Retrieval](https://github.com/harpribot/awesome-information-retrieval) - Curated list of information retrieval and web search resources
- [Awesome Learn Datascience](https://github.com/siboehm/awesome-learn-datascience) - Curated list of resources to help you get started with Data Science
- [Awesome Linguistics](https://github.com/theimpossibleastronaut/awesome-linguistics) - Curated list of linguistics and natural language processing resources
- [Awesome Public Datasets](https://github.com/awesomedata/awesome-public-datasets#naturallanguage) - Topic-centric list of high quality open datasets
- [Awesome Research Tools](https://github.com/emptymalei/awesome-research) - Curated list of tools for research
- [Awesome Scientific Computing](https://github.com/nschloe/awesome-scientific-computing) - Curated list of software for numerical analysis and scientific computing
- [Awesome Scientific Writing](https://github.com/writing-resources/awesome-scientific-writing) - Curated list of tools, demos and resources to go beyond LaTeX

## Other learning resources

- [Microsoft ML For Beginners](https://github.com/microsoft/ML-For-Beginners)
- [Git Branching](http://learngitbranching.js.org/)
- [GitHub Skills](https://skills.github.com)
- [Communicate using markdown](https://github.com/skills/communicate-using-markdown)

## Contribute

Contributions welcome! Read the [contribution guidelines](CONTRIBUTING.md) first.

## License

[![CC0](https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0)

To the extent possible under law, the author has waived all copyright and related or neighboring rights to this work.