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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
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Ten quick tips for making things findable.

Sarah Lin1, Ibraheem Ali2, Greg Wilson1

  • 1RStudio, PBC, Boston, Massachusetts, United States of America.

Plos Computational Biology
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PubMed
Summary
This summary is machine-generated.

Researchers face challenges finding scholarly information online. Applying library science principles to information ecosystems can improve research discoverability and reuse.

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Area of Science:

  • Library and Information Science
  • Scholarly Communication

Background:

  • The internet presents a vast amount of scholarly content, creating challenges for researchers in archiving and finding relevant information.
  • Effective information management is crucial for researchers to navigate this data deluge and ensure their work is accessible.

Purpose of the Study:

  • To provide a framework based on library science principles for improving the findability and usability of scholarly research.
  • To offer practical tips for researchers to enhance the discoverability of their professional output within the digital information ecosystem.

Main Methods:

  • Describing the information ecosystem, encompassing users, context, and content.
  • Providing actionable strategies for researchers to evaluate user needs and optimize research archiving.
  • Highlighting the use of structural elements within software to enhance information retrieval.

Main Results:

  • Addressing users, context, and content is essential for making scholarly information findable and usable.
  • Researchers can improve findability by understanding their audience and strategically archiving research outputs.
  • Leveraging software structures aids in locating information within and beyond publications.

Conclusions:

  • Implementing library science principles can significantly enhance research discoverability.
  • Scholars can improve how their research is discovered and reused by refining their communication strategies.
  • A systematic approach to the information ecosystem benefits both researchers and the broader academic community.