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FAIR Wizard
Plan-Driven Data Management for Collaboration, Automation, and FAIR Data.

What is FAIR Wizard?

FAIR Wizard is an enterprise-ready cloud platform designed to assist organizations and research groups in effectively managing their data. It facilitates the creation, automation, and integration of Data Management Plans (DMPs), which are crucial for ensuring research integrity, improving data quality, and fostering collaboration. By promoting FAIR (Findable, Accessible, Interoperable, Reusable) data principles, FAIR Wizard helps users comply with funder requirements and reduce the risks associated with data loss, ultimately streamlining data stewardship practices.

The platform offers a comprehensive solution tailored for institutional use, providing robust tools for data management planning. It is highly customizable, allowing adjustments to content and features to meet specific organizational needs. FAIR Wizard supports seamless collaboration among researchers and data stewards and can be integrated into existing workflows. It aims to reduce administrative burdens by enabling the generation of suitable documents and reports, allowing researchers to focus more on their research activities while ensuring proper data governance and guidance.

Features

  • Data Management Planner: Create and manage data management plans (DMPs).
  • Admin Center: Manage your organization, users, and user groups.
  • Integration Hub: Streamline integrations with other systems and workflows.
  • Analytics: Gain insights from data management activities within the platform.
  • Highly Customizable: Adjust content, features, and branding to specific institutional needs.
  • FAIR Data Practices Promotion: Promote and monitor the FAIRness of data.
  • Seamless Collaboration: Enable researchers and data stewards to work together efficiently on DMPs.
  • Management and Guidance: Provide researchers with guidance in planning data management.
  • Plug & Plan: Integrate data management planning into everyday automated workflows.
  • Efficient Outputs: Generate suitable documents and reports, reducing administrative burden.

Use Cases

  • Developing comprehensive Data Management Plans (DMPs) for research projects.
  • Ensuring institutional compliance with funder requirements for data management.
  • Promoting and implementing FAIR data principles (Findable, Accessible, Interoperable, Reusable) within an organization.
  • Streamlining data stewardship practices across research groups and institutions.
  • Facilitating collaboration between researchers, data stewards, and administrative staff on DMPs.
  • Integrating data management planning into existing institutional research workflows.
  • Monitoring and analyzing data management activities at an organizational level for reporting and improvement.

FAQs

  • What is the relationship between FAIR Wizard and Data Stewardship Wizard (DSW)?
    FAIR Wizard utilizes the engine of Data Stewardship Wizard (DSW) for data management planning, while also providing additional features, robust infrastructure, and comprehensive support tailored for enterprise needs.
  • What kind of support is available for FAIR Wizard users?
    FAIR Wizard offers various support options, including a Help Center, professional trainings, video tutorials, and a detailed guide. Standard and priority support levels are available depending on the chosen plan.
  • Can FAIR Wizard be customized for an institution's specific needs?
    Yes, FAIR Wizard is highly customizable. Institutions can adjust content, features, apply custom branding (logo and colors), and use a custom domain to align the platform with their specific requirements.
  • What are Enterprise DMPs in FAIR Wizard?
    Enterprise DMPs in FAIR Wizard are designed to deliver substantial benefits by enabling automation in data management planning, reducing workload for researchers, and applying best data stewardship practices seamlessly within institutional workflows.
  • How does FAIR Wizard help with FAIR data practices?
    FAIR Wizard actively promotes and helps monitor the FAIRness (Findable, Accessible, Interoperable, Reusable) of data within an institution. It guides researchers in planning their data management according to these principles.

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FAIR Wizard Uptime Monitor

Average Uptime

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Average Response Time

528.53 ms

Last 30 Days

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