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## ACRO: Tools for the Semi-Automatic Checking of Research Outputs
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[![IEEE Xplore](https://img.shields.io/badge/IEEE%20Xplore-10.1109/TP.2025.3566052-blue)](https://doi.org/10.1109/TP.2025.3566052)
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[![License](https://img.shields.io/badge/license-MIT-blue.svg?style=flat)](https://opensource.org/licenses/MIT)
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[![CRAN](https://www.r-pkg.org/badges/version/acro)](https://CRAN.R-project.org/package=acro)
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[![check](https://github.com/AI-SDC/ACRO-R/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/AI-SDC/ACRO-R/actions?query=workflow%3AR-CMD-check)
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The github-pages contains pre-built [documentation](https://ai-sdc.github.io/ACRO-R/).
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Additionally, see our [paper describing the SACRO framework](https://doi.org/10.1109/TP.2025.3566052) to learn about its principles-based SDC methodology and usage.
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### Acknowledgement
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This work was funded by UK Research and Innovation under Grant Numbers MC_PC_21033 and MC_PC_23006 as part of Phase 1 of the Data and Analytics Research Environments UK ([DARE UK](https://dareuk.org.uk/)) programme, delivered in partnership with Health Data Research UK (HDR UK) and Administrative Data Research UK (ADR UK). The specific projects were Semi-Automatic checking of Research Outputs (SACRO; MC_PC_23006) and Guidelines and Resources for AI Model Access from Trusted Research environments (GRAIMATTER; MC_PC_21033). This project has also been supported by MRC and EPSRC [grant number MR/S010351/1].

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