Best Scientific Data Management System (SDMS) Software for GitHub

Find and compare the best Scientific Data Management System (SDMS) software for GitHub in 2025

Use the comparison tool below to compare the top Scientific Data Management System (SDMS) software for GitHub on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    RSpace Reviews

    RSpace

    RSpace

    $120 per user per year
    Researchers require effective tools for the capture, management, and sharing of their research data. Additionally, these tools must be compatible with various data storage platforms and applications, including enterprise chat systems and specialized tools such as protocols.io, along with data repositories. RSpace, recognized as the Connected electronic notebook, stands out as the sole electronic lab notebook (ELN) tailored to integrate effortlessly into the research data framework of contemporary research-intensive universities. For early-stage biotech companies, there is a pressing need to advance swiftly toward their next milestone while also systematically capturing and organizing their research data. This organization is essential not only for establishing a solid foundation for long-term intellectual property protection but also for presenting results effectively to collaborators and potential investors. By connecting with various research tools and other elements of the research ecosystem, RSpace ensures that researchers' data is not only captured but also adeptly managed, ultimately making it accessible for public viewing, querying, and reuse by others in the scientific community. This holistic approach fosters a collaborative environment, enabling greater innovation and shared knowledge across the research landscape.
  • 2
    Scispot Reviews
    Scispot delivers a powerful lab informatics platform that transforms how life science labs operate. Through its configurable LabOS™ ecosystem, teams can select from a unified suite of tools covering ELN, LIMS, SDMS, QMS, and AI capabilities—all accessible through an intuitive no-code interface. Purpose-built for CROs, Diagnostic Labs, and Biotech R&D teams, Scispot addresses critical challenges in Sample Management, Freezer Management, and GxP Compliance. The platform seamlessly connects with 200+ lab instruments and 7,000+ applications, eliminating manual data entry while ensuring regulatory adherence. Scispot's AI-powered analytics convert experimental data into actionable insights, accelerating discovery timelines. With rapid implementation and a focus on user experience, Scispot enables 1000+ lab scientists and operators to standardize processes, maintain compliance, and focus resources on innovation rather than administrative overhead.
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