DOCSEARCHbyAlgolia
Submit Docs

FAIRshare Documentation

website·Indexed 31 days ago

https://docs.fairshareapp.io

Documentation for FAIRshare, an application designed to help researchers make their data and software Findable, Accessible, Interoperable, and Reusable (FAIR). Includes guides on project setup, integrating with Zenodo, Figshare, and GitHub, and developer documentation for building the application using Python, Flask-RESTX, Vue, and Electron. Version 2.1.0.

Tokens
40.7K
Snippets
86
Records
390
Agent score
56%

What's inside FAIRshare

  1. Overview of FAIRshare dataset archival file methods

    FAIRshare allows users to archive datasets by cloning a repository and optionally adding additional files. This method is designed to overcome the limitations of standard webhooks, which may remove additional release files. Users can supplement their datasets with files from two sources: local folders on their computer or existing GitHub releases.

  2. Overview of FAIR-BioRS guidelines for biomedical research software

    The FAIR Biomedical Research Software (FAIR-BioRS) guidelines provide minimal, actionable, step-by-step instructions for biomedical researchers to make their software compliant with the FAIR4RS (Findable, Accessible, Interoperable, and Reusable for Research Software) principles. While the original FAIR principles focused on data, FAIR-BioRS addresses software-specific traits such as dependencies and versioning. The latest version of these guidelines and the associated development manuscript are hosted in the FAIR-BioRS Hub repository.

  3. Overview of FAIRshare for biomedical research data

    FAIRshare is a cross-platform desktop software designed to help researchers organize and share biomedical data and software in accordance with FAIR guidelines. It streamlines the process of making research data FAIR by combining an intuitive user interface with automation. While the initial development phase focuses on COVID-19 and infectious diseases, the goal is to support all fields of biomedical research.

  4. Overview of FAIRshare for biomedical data management

    FAIRshare is a cross-platform desktop software designed to help researchers organize and share biomedical research data and software according to FAIR guidelines. It streamlines the curation process by combining an intuitive user interface with automation to overcome challenges such as manual curation burdens and a lack of standardized approaches across research labs. While the initial development focus is on COVID-19 and infectious diseases, the tool aims to support all fields of biomedical research.

  5. Overview of FAIRshare for biomedical data

    FAIRshare is a cross-platform desktop software designed to help biomedical researchers organize and share their data and software according to FAIR guidelines. It streamlines the curation process by combining an intuitive user interface with automation to overcome challenges like manual curation and lack of standardized approaches across labs. While the initial development focus is on COVID-19 and infectious diseases, the tool aims to support all fields of biomedical research.

  6. Introduction to FAIR-BioRS guidelines for biomedical research software

    The FAIR Biomedical Research Software (FAIR-BioRS) guidelines provide a minimal and actionable step-by-step framework for biomedical researchers to ensure their software is compliant with the FAIR4RS (Findable, Accessible, Interoperable, and Reusable for Research Software) principles. While the original FAIR principles focused on data, FAIR-BioRS addresses software-specific traits such as dependencies and versioning. The latest version of these guidelines and the associated development manuscript are maintained in the FAIR-BioRS Hub repository.

  7. Introduction to FAIR-BioRS guidelines for biomedical research software

    The FAIR Biomedical Research Software (FAIR-BioRS) guidelines provide minimal, actionable, step-by-step instructions for biomedical researchers to make their software compliant with the FAIR4RS (Findable, Accessible, Interoperable, and Reusable for Research Software) principles. While the original FAIR principles focused on data, FAIR-BioRS addresses software-specific traits such as dependencies and versioning. The latest version of these guidelines and the associated development manuscript are maintained in the FAIR-BioRS Hub repository.
    # Access the latest guidelines and manuscript via the FAIR-BioRS Hub repository: 
https://github.com/fairdataihub/FAIR-BioRS-Hub

  8. Overview of FAIRshare for biomedical data management

    FAIRshare is a cross-platform desktop software designed to help researchers organize and share biomedical research data and software according to FAIR guidelines. It combines an intuitive user interface with automation to streamline the curation process, specifically targeting the challenges of manual curation and the lack of standardized approaches across research labs. While the initial development focus is on COVID-19 and infectious diseases, the tool aims to support all fields of biomedical research.

  9. Manage data repository integrations in FAIRshare

    FAIRshare allows users to connect to various data repositories by providing credentials (username/password) or tokens. All login information is stored locally and is not sent to external servers; tokens are encrypted to prevent unauthorized access. Currently supported integrations include Zenodo, GitHub, bio.tools, and Figshare.

  10. Navigate the FAIRshare user interface

    The FAIRshare application is organized into three primary sections accessible via the sidebar:

    1. Curate & Share: The main workspace used for uploading data and sharing it with other researchers.
    2. Manage Accounts: Used to manage repository integrations. Currently, only Zenodo and GitHub are supported.
    3. Settings: Used to manage general application settings.

  11. Understand FAIRshare data collection and privacy practices

    FAIRshare automatically collects anonymized technical information when users launch or navigate the application. This includes device and usage information, operating system details, and technical data. The application uses Google Analytics (Universal Analytics) to track and log user events and interactions anonymously. Log files are also used to analyze trends and administer the site, capturing IP addresses, browser types, ISPs, and timestamps, which are not linked to personally identifiable information.

  12. Understand the FAIR-BioRS guidelines for biomedical research software

    The FAIR Biomedical Research Software (FAIR-BioRS) guidelines provide minimal, actionable, step-by-step instructions for biomedical researchers to make their software compliant with the FAIR4RS (Findable, Accessible, Interoperable, and Reusable for Research Software) principles. While the original FAIR principles focused on data, FAIR-BioRS addresses software-specific traits such as dependencies and versioning. The latest version of these guidelines and the associated development manuscript are maintained in the FAIR-BioRS Hub repository.
    # Access the latest guidelines and manuscript via the FAIR-BioRS Hub repository
# Repository URL: https://github.com/fairdataihub/FAIR-BioRS-Hub