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Dataset result of the research paper "A Categorization of Decentralized Autonomous Organizations: The Case of the Aragon Platform" published in IEEE Transactions on Computational Social Systems. The paper proposes an empirically grounded categorization of DAOs in terms of their operative domain, purpose, scope, voting processes, and use of crypto-tokens. The categorization was applied to 40 DAO communities hosted in the Aragon platform, analyzing 15 dimensions in each of them. Further details on the variables and the annotation process are described in the paper. Recommended citation for the article: Peña-Calvin, A., Saldivar, J., Arroyo, J., & Hassan, S. (2023). A Categorization of Decentralized Autonomous Organizations: The Case of the Aragon Platform. IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2023.3299254 WHAT'S NEW IN THIS VERSION - Readme file. It includes detailed information on the content of the rest of the files. - Erratum corrected in file Dataset - Tokens.csv. Token NU was labelled as TOK-4 and now is labelled as TOK-3.
The dataset was created under the umbrella of three research projects: Chain Community (RTI2018‐096820‐A‐I00) and DAO APPLICATIONS (PID2021-127956OB-I00), funded by the Spanish Ministry of Science and Innovation and led by Javier Arroyo and Samer Hassan; and P2P Models, funded by the European Research Council (ERC-2017-STG 625 grant no.: 75920), led by Samer Hassan.
blockchain, Aragon, decentralized autonomous organizations, DAO, online communities
blockchain, Aragon, decentralized autonomous organizations, DAO, online communities
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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