SPI-Hub
SPI-Hub provides decision support by aggregating and encoding journal policies and practices to inform journal selection and trustworthiness assessment in the health sciences.
Key Features:
- Knowledge Management Journal Record™: Captures detailed information about journal policies and practices using 25 metadata fields that represent best publishing practices.
- Data Framework: Aggregates and organizes publication-related information from multiple sources to support decision support functionality.
- Semi-Automated Data Collection: Populates metadata fields through a semi-automated process using custom programming to access content efficiently.
- Extensive Database: Maintains a repository of over 24,000 health sciences journal records.
- Quality Assessment: Incorporates multiple quality points per journal to provide publication recommendations and holistic trustworthiness assessments.
- Automation Efficiency: Employs automated and semi-automated methods to streamline data collection while preserving data quality.
Scientific Applications:
- Journal Selection: Identifies journals aligned with specific research focus and publication goals based on encoded policies and practices.
- Trustworthiness Assessment: Evaluates journal credibility using multiple quality points to help avoid predatory or low-quality publications.
- Best Practices Guidance: Provides actionable recommendations grounded in the 25 metadata fields representing publishing best practices.
Methodology:
Semi-automated data collection using custom programming and automated methods to populate a 25-field Knowledge Management Journal Record™; a data framework aggregates and organizes publication-related information from multiple sources.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 2/21/2021
Operations
Publications
Koonce TY, Blasingame MN, Zhao J, Williams AM, Su J, DesAutels SJ, Giuse DA, Clark JD, Fox ZE, Giuse NB. SPI-Hub™: a gateway to scholarly publishing information. Journal of the Medical Library Association. 2020;108(2). doi:10.5195/jmla.2020.815. PMID:32256240. PMCID:PMC7069808.