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Road to effective data curation for translational research.

Wei Gu1, Samiul Hasan2, Philippe Rocca-Serra3

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Effective data curation is crucial for multi-stakeholder translational research. Harmonizing diverse data formats and standards presents challenges, requiring careful planning to avoid research bottlenecks.

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Area of Science:

  • Translational research
  • Data science
  • Bioinformatics

Background:

  • Translational research is increasingly data-intensive, necessitating multi-stakeholder collaborations.
  • Integrating data from diverse sources with varying formats and standards poses significant harmonization challenges.
  • These data challenges are often underestimated during project planning, hindering research progress.

Purpose of the Study:

  • To share experiences and lessons learned in data curation for translational research.
  • To identify obstacles in data harmonization within large-scale, multi-organizational projects.
  • To propose essential steps for effective data curation in translational research.

Main Methods:

  • Reporting on practical experience gained from the European Translational Research Infrastructure & Knowledge management Services (eTRIKS) program.
  • Analyzing challenges encountered in a 5-year, cross-organizational, cross-cultural collaborative project.
  • Documenting strategies for data harmonization across academic and industrial partners.

Main Results:

  • Data harmonization is a critical bottleneck in translational research if not proactively managed.
  • Effective data curation requires addressing issues of data format, standards, and multi-stakeholder collaboration.
  • Lessons learned highlight the need for early and continuous attention to data management.

Conclusions:

  • Proactive data curation and harmonization are essential for the success of data-intensive translational research.
  • Addressing data integration challenges early in project planning is vital to prevent research delays.
  • Implementing robust data management strategies is key for multi-organizational academic and industry collaborations.