Automated Organization Profile

University of Malaya

Current S-Index

213.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.0

Average Dataset Index per dataset

Total Datasets

208

Total datasets in this organization

Average FAIR Score

77.9%

Average FAIR Score per dataset

Total Citations

103

Total citations to the organization's datasets

Total Mentions

1

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

5G pricing panel data (China, 2018 to 2020)

This dataset contains province-level panel data on mobile data pricing and 5G co-investment in China from 2018 to 2020. It was prepared to support an academic study titled "Efficiency or Collusion? Empirical Evidence from China’s 5G Co-investment Strategy", which is currently being finalized for submission to a peer-reviewed journal.The dataset includes:Average mobile data prices (price per GB) across 24 Chinese provincesCo-investment status of the telecom operators (Co-investing firm (CIF): China Unicom (CU) and China Telecom (CT); independently investing firm: China Mobile (CM))Control variables such as the timing of free calling (TFC) offers and province-specific characteristics (id)The data supports a difference-in-differences (DID) and propensity score matching DID (PSM-DID) analysis used to estimate the causal impact of 5G infrastructure co-investment on tacit collusion.Embargo notice: The dataset is under embargo until the associated manuscript is accepted for publication. A DOI has been reserved and will be cited in the article upon submission.

Authors

  • Enen, Enen
0 Citations0 Mentions79% FAIR0.1 Dataset Index
10.5281/zenodo.156635402026

5G pricing panel data (China, 2018 to 2020)

This dataset contains province-level panel data on mobile data pricing and 5G co-investment in China from 2018 to 2020. It was prepared to support an academic study titled "Efficiency or Collusion? Empirical Evidence from China’s 5G Co-investment Strategy", which is currently being finalized for submission to a peer-reviewed journal.The dataset includes:Average mobile data prices (price per GB) across 24 Chinese provincesCo-investment status of the telecom operators (Co-investing firm (CIF): China Unicom (CU) and China Telecom (CT); independently investing firm: China Mobile (CM))Control variables such as the timing of free calling (TFC) offers and province-specific characteristics (id)The data supports a difference-in-differences (DID) and propensity score matching DID (PSM-DID) analysis used to estimate the causal impact of 5G infrastructure co-investment on tacit collusion.Embargo notice: The dataset is under embargo until the associated manuscript is accepted for publication. A DOI has been reserved and will be cited in the article upon submission.

Authors

  • Enen, Enen
0 Citations0 Mentions79% FAIR0.1 Dataset Index
10.5281/zenodo.156635392026

Questionnaire Data for Needs Analysis

No description available

Authors

  • Ning, Ping
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.171401342025

Questionnaire Data for Needs Analysis

No description available

Authors

  • Ning, Ping
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.171401332025

Dataset

No description available

Authors

  • FEI, XIAO
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.169325872025

Dataset

No description available

Authors

  • FEI, XIAO
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.169325862025

Questionnaire data

No description available

Authors

  • FEI, XIAO
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.158042622025

Questionnaire data

No description available

Authors

  • FEI, XIAO
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.158042612025

Undergraduates' Digital Literacy Before and After the Implementation of the Introduction to Computer Science Curriculum and Their Experiences (Version: V1)

The data in this study consist of two components: (1) a measurement of digital literacy levels before and after the implementation of the Introduction to Computer Science curriculum, involving 75 undergraduate students from a comprehensive university in China. The measurement instrument was developed based on the Digital Competence Framework for Citizens 2.2; and (2) focus group interview transcripts from 10 students selected from the same sample, aimed at exploring their concrete experiences of developing digital literacy within the curriculum.

Authors

  • LYU QUANPIN
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.57760/sciencedb.271522025

GenBank Submission Report

No description available

Authors

  • Lim, Chuan Hui
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5281/zenodo.154294652025