Skip to main content

ACRO: Tools for the Automatic Checking of Research Outputs

Project description

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

See the project wiki for details.

Coding standards

Are also described in the project wiki


License Latest Version DOI PyPI package Python versions

Codacy codecov

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

acro-0.2.0.tar.gz (18.8 kB view details)

Uploaded Source

Built Distribution

acro-0.2.0-py3-none-any.whl (19.5 kB view details)

Uploaded Python 3

File details

Details for the file acro-0.2.0.tar.gz.

File metadata

  • Download URL: acro-0.2.0.tar.gz
  • Upload date:
  • Size: 18.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for acro-0.2.0.tar.gz
Algorithm Hash digest
SHA256 4fcd3b1ccaaf96db18be65cf1242bd271241de9f1526a93c9ecf2f36349d7b89
MD5 9c441e62ad449f2c2284f20191231390
BLAKE2b-256 dd39c0f58f93c54d257c6c7541e7d852d791f96f22868c96da02f4ac3e75cc15

See more details on using hashes here.

File details

Details for the file acro-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: acro-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 19.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for acro-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ab0a48d7167f66086149f118e9722b191eacd978e4e7ffb0134d85ffa43220b4
MD5 bf2af44d50a1aac6fb4f5e35db9b5086
BLAKE2b-256 714831341317a49d6decde56a80d7f82758cf89d56688f107146eb42be57b5aa

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page