Poster presenting during AROSIM 2018 Workshop. For more details, please visit www.altmetrics.ntuchess.com/AROSIM2018/

1. Database-Centric Guidelines for Building a Scholarly Metrics
Information System: A Case Study with ARIA Prototype
www.altmetrics.ntuchess.com
I. BACKGROUND
• Performance assessment of researchers is one of the
key periodic functions in a university
• Traditional indicators (bibliometrics) based on metrics
such as publication count, citation count, journal impact
factor, have been used for measuring research impact
• Tools such as SciVal and inCites have been used for
measuring research impact at university level
Drawbacks of Traditional Metrics
• Timeliness factor as most of these metrics can be
measured only after an article is cited by another article
• Restrictive nature of the measurement (no social media
coverage)
II. PREDESIGN PHASE
A. Objectives of ARIA
• SO1: To enable measuring research impact of
researchers, universities, and research institutes
• SO2: To enable cross-metric validation between
traditional metrics and altmetrics for the hard sciences
disciplines, the non-hard sciences disciplines, and
innovation and commercialization
B. Theoretical Design Framework
C. Data Sources
D. Design Considerations
• Temporal Aggregation (e.g., Monthly, Quarterly, Yearly)
• Structural Aggregation (e.g., School, Dept, Univ levels)
• Statistical Aggregation (e.g., Top 5%, Bottom 5%, Mean)
III. DATABASE DESIGN
• Enterprise data warehouse (EDW) design methodology
was used
• Three database layers – (i) staging, (ii) data warehouse and
(iii) data marts
IV. DESIGN ISSUES
• Handling High Volume of Periodic Data Extraction
• Incorrect and Insufficient Metadata
• Author-name Disambiguation
This research is supported by the National Research Foundation, Prime Minister's Office, Singapore under its Science of Research, Innovation and
Enterprise programme (SRIE Award No. NRF2014-NRF-SRIE001-019). Any opinions, findings, conclusions and/or recommendations expressed in
this material are those of the author(s) and do not necessarily reflect the views of the National Research Foundation Singapore
Aravind Sesagiri Raamkumar (aravind002@ntu.edu.sg), Feiheng Luo ,Mojisola Erdt, Yin-Leng Theng