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A generally applicable lightweight method for calculating a value structure for tools and services in bioinformatics

Gerhard Mayer, Christian Quast, Janine Felden

    Briefings in Bioinformatics
    |November 2, 2017
    PubMed
    Summary

    Bioinformatics infrastructures require transparent value models for big data analysis. This study introduces a lightweight method to estimate the value of bioinformatics tools and services, aiding funders and users in cost assessment.

    Keywords:
    bioinformatics infrastructurecost factorsde.NBIservice provision unitvalue estimation for offered tools and servicesvalue-influencing factors

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Data Science Infrastructure

    Background:

    • Sustainable noncommercial bioinformatics infrastructures are crucial for leveraging big data in research and economy.
    • Funders, universities, institutes, and users require transparent value models for bioinformatics tools and services.
    • Existing methods for cost of ownership estimation can be complex and time-consuming.

    Purpose of the Study:

    • To present a generally applicable, lightweight method for estimating the value of bioinformatics tools and services.
    • To provide a framework for assessing the value of bioinformatics infrastructure projects without detailed total cost of ownership calculations.
    • To support transparent value assessment for bioinformatics services and tools.

    Main Methods:

    • Introduction of 'service provision units' tailored to diverse bioinformatics applications.
    • Identification of factors influencing service provision units and their underlying assumptions.
    • Inclusion of methods for handling personnel and indirect costs (e.g., electricity).
    • Development of five representative scenarios for value estimation, ranging from rough estimates to detailed cost breakdowns.

    Main Results:

    • Demonstration of value calculation for tools and services using four examples from the German Network for Bioinformatics Infrastructure (de.NBI).
    • Examples cover tool usage, web-based database analyses, consulting services, and training events.
    • Calculation and comparison of direct funding costs versus service payment costs by funded projects.

    Conclusions:

    • The proposed lightweight method offers a practical approach to value estimation for bioinformatics infrastructures.
    • Transparent value models are essential for the sustainable development and utilization of bioinformatics resources.
    • The method facilitates informed decision-making for funders, providers, and users of bioinformatics services.