Online Appendices and Research Data. Inclusion-by-Design: Designing a Reference Architecture for Inclusive Lending Systems
Datacite citation style
Dataset
These online appendices and research materials support the dissertation titled:
"Inclusion-by-Design: Designing a Reference Architecture for Inclusive Lending Systems."
It includes software artifacts, survey data, and simulation results.
This package consists of 13 supplementary files:
1. P2PLending.sol – Smart contract layer (Solidity)
2. P2PLendingService.js – Middleware DLT service (JavaScript)
3. P2PLendingAPI.js – Backend API layer (JavaScript)
4. Survey 287 Raw Num.csv – Anonymized survey responses (Qualtrics results)
5. Hyp A1 - add attributes.xlsx
6. Hyp A2 - Feature Weight.xlsx
7. Hyp A2 - Penalty Based.xlsx
8. Hyp A2 HFPT metric 1-2.xlsx
9. Hyp A2 HFPT metric 3-4-5.xlsx
10. Python - HypA1 - Add Attributes
11. Python - HypA2 - Feature Weight
12. Python - HypA2 - Penalty-based
13. Python - HypA2 - HFPT
History
- 2025-04-04 first online, published, posted
Publisher
4TU.ResearchDataFormat
csv, python script, solidity script, javascript, Excel, txtOrganizations
TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and ServicesDATA
Files (14)
- 18,350 bytesMD5:
96d1d239a89b270b97a3291fa60023b3README.txt - 230,683 bytesMD5:
d64e5b26577ced954deb2cf1ac4bf057Hyp A1 - add attributes.xlsx - 24,626 bytesMD5:
69b54ed3d5793fcf6b7850acd5130354Hyp A2 - Feature Weight.xlsx - 108,674 bytesMD5:
f7c2053f8953b57c5f7974d035493417Hyp A2 - Penalty Based.xlsx - 252,562 bytesMD5:
fc7c84f524ff02b46741ac3412143a49Hyp A2 HFPT metric 1-2.xlsx - 124,126 bytesMD5:
eb7e1e5b95fdad30ddffc4d894e61715Hyp A2 HFPT metric 3-4-5.xlsx - 2,802 bytesMD5:
5740e5c1a455c4cd2b7f38fe713b68e1P2PLending.sol - 4,490 bytesMD5:
6e79faa32215f0392961c2985998c134P2PLendingAPI.txt - 2,310 bytesMD5:
013c2fd514cb61ff54c5be50a12649c2P2PLendingService.txt - 51,797 bytesMD5:
9d4a8d56998435370c1dcec65f159bf1Python - HypA1 - Add Attributes.txt - 11,978 bytesMD5:
063f59e2bbda953c0ceb41047898e9dcPython - HypA2 - Feature Weight.txt - 12,022 bytesMD5:
55d8e91e636355f19bc5ffff5fc430d7Python - HypA2 - HFPT.txt - 8,543 bytesMD5:
db8840a0ed9c12b851c92ddce65e7107Python - HypA2 - Penalty-based.txt - 431,746 bytesMD5:
1029dbaaa54490097b1dc734d5baae83Survey 287 Raw Num.csv -
download all files (zip)
1,284,709 bytes unzipped
