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ASReview

ASReview - Active learning for Systematic Reviews

Welcome to the ASReview Universe 👋


Used by thousands of researchers and experts around the world 🌐


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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 🤓.

👐 Open Source

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.

🗺️ A roadmap to all that is ASReview

To help you on your way to find the information you are looking for, take a look below:

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!
    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 🤖!

Pinned

  1. asreview Public

    Active learning for systematic reviews

    Python 384 81

  2. Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB

    Python 20 8

  3. Tool to preprocess datasets for ASReview

    Python 11 7

  4. Template repository to extend ASReview with a new model easily.

    Python 13 2

  5. A collection of fully labeled systematic review datasets (title-abstract screening)

    Jupyter Notebook 27 18

  6. workflow generator for simulation studies using the command line interface of ASReview LAB

    Python 7 2

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