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    Librarians enhanced clinical study data management by standardizing variables and implementing an electronic data capture system. This collaboration improved efficiency and data quality but highlighted scalability challenges for broader library support.

    Area of Science:

    • Clinical research data management
    • Health sciences librarianship
    • Information science in healthcare

    Background:

    • Multicultural dementia screening studies highlighted data management and sharing challenges.
    • Collaboration with National Library of Medicine (NLM) informationists aimed to improve study workflows.
    • Librarians identified key areas for enhancement in data collection, entry, and processing.

    Purpose of the Study:

    • To improve data collection and processing workflows in clinical studies.
    • To increase study efficiency and ensure data quality through librarian support.
    • To leverage NLM informationist supplements for practical experience in research data management.

    Main Methods:

    • Librarians standardized and renamed variables for clarity and consistency.

    Related Experiment Videos

  • An electronic data capture system was created using REDCap.
  • Well-documented, reproducible data processing workflows were developed.

    • Main Results:

    • Standardized variables and an electronic data capture system improved data quality.
    • Reproducible workflows enhanced study efficiency.
    • Librarians gained valuable experience in project management and clinical research specifics.

    Conclusions:

    • NLM informationist supplements offer beneficial training for librarians in supporting research data needs.
    • The intensive, targeted support model proved effective for one study but is not easily scalable.
    • Balancing specialized support with broader community needs remains a challenge for libraries.