NDLI: Process Analytics Approach for R&D Project Selection

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Process Analytics Approach for R&D Project Selection

Content Provider	ACM Digital Library
Author	Silva, Thushari Chen, Yang Jian, Ma
Copyright Year	2014
Abstract	R&D project selection plays an important role in government funding agencies, as allocation of billions of dollars among the proposals deemed highly influential and contributive solely depend on it. Efficacious assignment of reviewers is one of the most critical processes that controls the quality of the entire project selection and also has a serious implication on business profit. Current methods that focus on workflow automation are more efficient than manual assignment; however, they are not effective, as they fail to consider the real insight of core tasks. Other decision models that analyze core tasks are effective but inefficient when handling large amounts of submissions, and they suffer from irrelevant assignment. Furthermore, they largely ignore real deep insight of back-end data such as quality of the reviewers (e.g., quality and citation impact of their produced research) and the effect of social relationships in project selection processes that are essential for identifying reviewers for interdisciplinary proposal evaluation. In light of these deficiencies, this research proposes a novel hybrid process analytics approach to decompose the complex reviewer assignment process into manageable subprocesses and applies data-driven decision models cum process analytics systematically from a triangular perspective via the research analytics framework to achieve high operational efficiencies and high-quality assignment. It also analyzes big data from scientific databases and generates visualized decision-ready information to support effective decision making. The proposed approach has been implemented to aid the project selection process of the largest funding agency in China and has been tested. The test results show that the proposed approach has the potential to add great benefits, including cost saving, improved effectiveness, and increased business value.
Starting Page	1
Ending Page	34
Page Count	34
File Format	PDF
ISSN	2158656X
e-ISSN	21586578
DOI	10.1145/2629436
Volume Number	5
Issue Number	4
Journal	ACM Transactions on Management Information Systems (TMIS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-10-09
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Process analytics Big data Research analytics Reviewer assignment
Content Type	Text
Resource Type	Article
Subject	Management Information Systems Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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