Skip to main content

Metadata generation, validation, search and visualization.

Project description

DOI bioRxiv PyPI Release FAIR checklist badge

FRED

Introduction

Scientific research relies on transparent dissemination of data and its associated interpretations. This task encompasses accessibility of raw data, its metadata, details concerning experimental design, along with parameters and tools employed for data interpretation. Production and handling of these data represents an ongoing challenge, extending beyond publication into individual facilities, institutes and research groups, often termed Research Data Management (RDM). It is foundational to scientific discovery and innovation, and can be paraphrased as Findability, Accessibility, Interoperability and Reusability (FAIR). Although the majority of peer-reviewed journals require the deposition of raw data in public repositories in alignment with FAIR principles, metadata frequently lacks full standardization. This critical gap in data management practices hinders effective utilization of research findings and complicates sharing of scientific knowledge. Here we present a flexible design of a machine-readable metadata format to store experimental metadata, along with an implementation of a generalized tool named FRED (FaiR Experimental Designs). It enables i) dialog based creation of metadata files, ii) structured semantic validation, iii) logical search, iv) an external programming interface (API), and v) a standalone web-front end. The tool is intended to be used by non-computational scientists as well as specialized facilities, and can be seamlessly integrated in existing RDM infrastructure.

For more information about FRED, please see the documentation.

How to install

Via Python package


FRED is published in the Python Package Index (PyPI) under the name fred-metadata. It can be installed with the following command:

pip install fred-metadata

Via Repository

You can install FRED directly from the repository with the following commands:

  1. Clone the repository
git clone https://github.com/loosolab/FRED.git
  1. Move to the new repository directory
cd FRED
  1. (Optional) Create and activate a pip environment
python3 -m venv .venv
source .venv/bin/activate
  1. Install the package
pip install .

Standalone Version

The standalone web-frontend is provided in a separate Repository. You can find it here:

https://github.com/loosolab/FRED_standalone

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

fred_metadata-2.0.1.tar.gz (3.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fred_metadata-2.0.1-py3-none-any.whl (3.7 MB view details)

Uploaded Python 3

File details

Details for the file fred_metadata-2.0.1.tar.gz.

File metadata

  • Download URL: fred_metadata-2.0.1.tar.gz
  • Upload date:
  • Size: 3.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for fred_metadata-2.0.1.tar.gz
Algorithm Hash digest
SHA256 fc0882f373ed32c268b94e62b2afaf295b10209e3e1d9d834ae769ba9ea7c2b1
MD5 9d07a7308fe9f0871a91418337efb6ba
BLAKE2b-256 54cf8df130d322a182b2ae672a120840b4f88dde5bed6375329e70b15dcaef19

See more details on using hashes here.

File details

Details for the file fred_metadata-2.0.1-py3-none-any.whl.

File metadata

  • Download URL: fred_metadata-2.0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for fred_metadata-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d8c88c2342b36441bfe145b674caa386724dec45860e4ee518033705f2cb800d
MD5 4f60cd5ef96fad0d217d174d1ad33d46
BLAKE2b-256 14b7673f38f3d7021d1d7bf03bc05cf06735ca2c36081d2098cb62c3376b1a1e

See more details on using hashes here.

Supported by

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