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Creating a Faculty Publications Database Using Sci-Matetm.

Laurie A Potter1

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Summary
This summary is machine-generated.

Automating faculty publication tracking with Sci-Mate streamlines record-keeping at medical schools. This system efficiently manages research activity, overcoming limitations of manual methods for updated productivity lists.

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Area of Science:

  • Medical education research
  • Bibliometrics and scientometrics

Background:

  • Faculty publications are crucial indicators of research activity in medical schools.
  • Manual methods and generic databases for tracking faculty productivity are often inefficient and cumbersome.

Purpose of the Study:

  • To describe the design and methods for creating an automated database for faculty publications.
  • To improve the organization and detail of faculty productivity records at the University of Nevada School of Medicine.

Main Methods:

  • Utilizing Sci-Mate software for automated citation collection.
  • Implementing a system to accept downloaded citations for efficient database population.
  • Designing a database to maintain an up-to-date record of faculty productivity.

Main Results:

  • The automated system using Sci-Mate proved more efficient than manual methods.
  • The database design facilitates the creation and maintenance of an organized list of faculty publications.
  • Successfully addressed the need for a detailed and current record of research activity.

Conclusions:

  • Automating publication tracking with specialized software like Sci-Mate is an effective strategy for medical schools.
  • This approach enhances the management of research productivity data.
  • The developed database provides a sustainable solution for monitoring faculty scholarly output.