## ACRO: Tools for the Automatic Checking of Research Outputs
Statistical agencies and other custodians of secure facilities such as Trusted
Research Environments (TREs) routinely require the checking of research outputs
for disclosure risk. This can be a time-consuming and costly task, requiring
skilled staff.
ACRO (Automatic Checking of Research Outputs) is an open source
tool for automating the statistical disclosure control (SDC) of research
outputs. ACRO assists researchers and output checkers by distinguishing between
research output that is safe to publish, output that requires further analysis,
and output that cannot be published because of substantial disclosure risk.
It does this by providing a light-weight 'skin' that sits over well-known
analysis tools, in a variety of languages researchers might use. This adds
functionality to:
* identify potentially disclosive outputs against a range of commonly used
disclosure tests;
* suppress outputs where required;
* report reasons for suppression;
* produce simple summary documents TRE staff can use to streamline their
workflow.
![ACRO workflow and architecture schematic](docs/schematic.png)
See the project [wiki](https://github.com/AI-SDC/ACRO/wiki) for details.
## Coding standards
Are also described in the project [wiki](https://github.com/AI-SDC/ACRO/wiki)
*******************************************************************************
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[![Latest Version](https://img.shields.io/github/v/release/AI-SDC/ACRO?style=flat)](https://github.com/AI-SDC/ACRO/releases)
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"description": "## ACRO: Tools for the Automatic Checking of Research Outputs\n\nStatistical agencies and other custodians of secure facilities such as Trusted\nResearch Environments (TREs) routinely require the checking of research outputs\nfor disclosure risk. This can be a time-consuming and costly task, requiring\nskilled staff.\n\nACRO (Automatic Checking of Research Outputs) is an open source\ntool for automating the statistical disclosure control (SDC) of research\noutputs. ACRO assists researchers and output checkers by distinguishing between\nresearch output that is safe to publish, output that requires further analysis,\nand output that cannot be published because of substantial disclosure risk.\n\nIt does this by providing a light-weight 'skin' that sits over well-known\nanalysis tools, in a variety of languages researchers might use. This adds\nfunctionality to:\n\n* identify potentially disclosive outputs against a range of commonly used\n disclosure tests;\n* suppress outputs where required;\n* report reasons for suppression;\n* produce simple summary documents TRE staff can use to streamline their\n workflow.\n\n![ACRO workflow and architecture schematic](docs/schematic.png)\n\nSee the project [wiki](https://github.com/AI-SDC/ACRO/wiki) for details.\n\n## Coding standards\nAre also described in the project [wiki](https://github.com/AI-SDC/ACRO/wiki)\n\n*******************************************************************************\n\n[![License](https://img.shields.io/badge/license-MIT-blue.svg?style=flat)](https://opensource.org/licenses/MIT)\n[![Latest Version](https://img.shields.io/github/v/release/AI-SDC/ACRO?style=flat)](https://github.com/AI-SDC/ACRO/releases)\n[![DOI](https://zenodo.org/badge/534172863.svg)](https://zenodo.org/badge/latestdoi/534172863)\n[![PyPI package](https://img.shields.io/pypi/v/acro.svg)](https://pypi.org/project/acro)\n[![Python versions](https://img.shields.io/pypi/pyversions/acro.svg)](https://pypi.org/project/acro)\n\n[![Codacy](https://app.codacy.com/project/badge/Grade/a125e023fd7744d79cb42cd31f6ea05e)](https://www.codacy.com/gh/AI-SDC/ACRO/dashboard)\n[![codecov](https://codecov.io/gh/AI-SDC/ACRO/branch/main/graph/badge.svg?token=VVHI41N05F)](https://codecov.io/gh/AI-SDC/ACRO)\n",
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