Used by thousands of researchers and experts around the world 🌐
First things first, welcome to the ASReview Universe 🪐. The ASReview Universe consists of many many things, but on the whole, it is a research project conducted at Utrecht University. It uses state-of-the-art active learning techniques to solve one of the most interesting challenges in screening large amounts of text: there’s not enough time to read everything! Part of the universe is ASReview LAB, free and open source software for screening large amounts of textual data in a smarter way 🤓.
The best part about ASReview LAB? It is completely free, installed locally, and open source:
Open source means:
- From fixing spelling mistakes to implementing your ideas, anybody can contribute to the project!
- You can dive into the history and see where ASReview started (but you have to go back a long while 🕵️).
- There is no black-box anymore ⬛, everything is transparent 👓.
Since we are talking about open source and free software anyway ☝️, please consider giving ASReview a star ⭐ on GitHub. Donations 💛 make sure that the software remains freely available to everyone, please help to keep it that way.
To help you on your way to find the information you are looking for, take a look below:
- A-Z of the ASReview project: The documentation 📕
- Open teaching materials
- More general information can be found on asreview.ai 🌍, including:
- Install ASReview LAB
- Blogposts on a whole range of subjects, from simulation tutorials 🤖 to handy tools 🔧 and release updates
- Research & publications showing you all the projects on which the research and development team has been working on
- In case you may have questions, you can visit the ASReview discussion board and post your question
It is important to keep up-to-date with the latest release of ASReview LAB. The software is developing at a mind-blowing 🤯 rate, so you really don't want to miss out! Want to get notified when a new release is available? Sign up for the newsletter 📰!
🖋️ How to cite ASReview!
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If you are using ASReview, please also make sure to refer to the software and/or the project! ✔️ For the project you can cite this publication in
Nature Machine Intelligence :
van de Schoot, R., de Bruin, J., Schram, R. et al.
An open source machine learning framework for efficient and transparent systematic reviews.
Nat Mach Intell 3, 125–133 (2021). https://doi.org/10.1038/s42256-020-00287-7
For citing the software, please refer to the specific release of the ASReview software on Zenodo. The menu on the right can be used to find the citation format you need 👍.
Pssst 🤫! Did you know ELAS, the mascot of ASReview, is also Twitter famous? Follow us on our ASReview adventures 🤖!
