FAIR Wizard icon
FAIR Wizard icon

FAIR Wizard

Collaborate, automate, and integrate data management plans in your group or organization to become FAIR. Advance with our enterprise-ready cloud platform and streamline your data management processes.

Opened Project

Cost / License

  • Subscription
  • Proprietary

Platforms

  • Online
  • Software as a Service (SaaS)
Document Templates
List of Knowledge Models
+3
Document Template Detail
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Features

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  1.  Data-management

 Tags

  • fair-data
  • Metadata Management
  • research-data-management
  • data-management-platfrom
  • test-data-management-tools

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FAIR Wizard information

  • Developed by

    CZ flagCodevence Solutions s.r.o.
  • Licensing

    Proprietary and Commercial product.
  • Pricing

    Subscription ranging between $54 and $1099 per month.
  • Alternatives

    0 alternatives listed
  • Supported Languages

    • English
    • Czech
    • Dutch
    • French
    • German
    • Turkish
FAIR Wizard was added to AlternativeTo by Codevence Solutions on and this page was last updated .
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What is FAIR Wizard?

The FAIR Wizard is a tool that helps researchers and data stewards create data management plans (DMPs) quickly, efficiently, and in a FAIR manner.

Data stewards can easily capture the knowledge, including required project data and decisions in knowledge models that are then turned into per-project questionnaires to be filled by researchers. The questionnaires guide researchers through the process using recommendations, FAIR metrics indications, and only showing relevant questions based on previous answers.

Once the questionnaire is completed, a DMP can be easily generated using a selected template and output format. The document is then stored in FAIR Wizard for easy access and future reference. This is especially helpful because many funding agencies now require a DMP for their application process.

But the benefits of using FAIR Wizard go beyond just creating a DMP. Researchers also learn how to handle data correctly, make it FAIR, maintain it throughout the project, and curate it long-term. This intelligent, guided, and efficient approach to composing DMPs is useful for research institutions, and individual researchers.

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