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Open data sets on SMU RDR #OpenAccessWeek

29 Oct 2021
Web banner for article Open Data Sets on SMU RDR

 

 

By Dong Danping, Librarian, Research Services

International Open Access Week is the time for the academic community to celebrate openness and make it the default for research.

Did you know that you should cite the DOI of papers/data sets where possible? Persistent identifiers such as a DOI facilitate accurate citation tracking and impact measurement. You can obtain a DOI for your research data when you upload to SMU RDR.

Our own SMU researchers have made some of their data sets and publications open access via SMU RDR and InK – check them out using the links below!

SMU Author(s) Open Data Open Access Article

Zhang Xuan 
(SOE)

Data from: Public health insurance and pharmaceutical innovation: Evidence from China 

Data Set DOI: https://doi.org/10.25440/smu.13134803.v1 

Public health insurance and pharmaceutical innovation: Evidence from China 

Journal of Development Economics 
Link to article  

Li Weikai
(LKCSB)

Data from: Climate risks and market efficiency

Data Set DOI: https://doi.org/10.25440/smu.14132717.v1 

Climate risks and market efficiency  

Journal of Econometrics 
Link to article  

Chang Pao-Li
(SOE)

Data from: The WTO trade effect 

Data Set DOI: https://doi.org/10.25440/smu.14132606.v1

The WTO trade effect 

Journal of International Economics 
Link to article  

Li Jiaying
Tsai Ming-Hong
(SOSS)

Data from: Forces of corruption: Effects of power on perceptions of openness and information-sharing 

Data Set DOI: https://doi.org/10.25440/smu.14724945.v1 

Forces of corruption: Effects of power on perceptions of openness and information-sharing  

Link to master thesis 

Nadhilla Velda Melia
(SOSS)

Data and code for: Two roads diverged: An alternative perspective on the EASI Model 

Data Set DOI: https://doi.org/10.25440/smu.14705112.v1 

Two roads diverged: An alternative perspective on the EASI Model  

Link to Phd dissertation

Alan William Zeller
(LKCSB)

Data from: Debiasing a decision maker facing supply uncertainties in a newsvendor setting 

Dataset DOI: https://doi.org/10.25440/smu.14610096.v1 

Debiasing a decision maker facing supply uncertainties in a newsvendor setting  

Link to PhD Dissertation 

Ong Ee Ing
Loo Wee Ling
(YHPSOL)

Singapore residents’ attitudes to organisations' use of AI and data mining practices (2019) 

Data Set DOI: https://doi.org/10.25440/smu.15081618.v1 

 
Web banner for Open Access Week 2021 with text "It matters how we open knowledge: Building structural equity"​
 

 

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