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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

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Published on: October 24, 2019

Exploring Freely Available Data Tools to Support Open Data and Open Science.

Christine Hislop¹, Katie Pierce Farrier², Elizabeth Roth³

¹Data Education Librarian for the Network of the National Library of Medicine (NNLM), Region 1 at the Health Sciences and Human Services Library, University of Maryland, Baltimore, MD.

Journal of Hospital Librarianship

|June 17, 2024

Summary

This summary is machine-generated.

Librarians can enhance research support by adopting five free tools that promote open science and open data practices. These resources facilitate project management, data cleaning, planning, standardization, and de-identification, empowering researchers.

Keywords:

Open data data management open science

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Area of Science:

Library and Information Science
Research Data Management
Open Science

Background:

Librarians play a crucial role in advancing research integrity and reproducibility.
Promoting open science and open data practices is a key responsibility for information professionals.
Researchers require accessible tools to effectively implement open science principles.

Purpose of the Study:

To identify and describe freely available tools that support open science practices.
To provide librarians with practical resources to assist researchers in adopting open science.
To highlight the utility of specific tools for different stages of the research lifecycle.

Main Methods:

Exploration of five distinct, freely accessible software tools.
Categorization of tools based on their function in supporting open science.
Description of the features and benefits of each tool for researchers and librarians.

Main Results:

Open Science Framework (OSF) offers project management, data sharing, and storage.
OpenRefine facilitates data cleaning and formatting.
DMPTool provides templates for data management plans compliant with funder mandates.
NIH Common Data Elements serves as a repository for standardized data elements.
NLM Scrubber aids in de-identifying clinical text data.

Conclusions:

The integration of these five tools into library services can significantly enhance researcher support.
Information professionals can actively promote these resources to foster a culture of open science.
Adoption of these tools empowers researchers to adhere to open science and data management best practices.