ArticleScientific data2025
A Data Engineering Framework for Ethereum Beacon Chain Rewards: From Data Collection to Decentralization Metrics.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Towards a sustainable high-quality materials data ecosystem: frameworks and strategies.National science review · 2026Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Ethereum, one of the leading smart contract blockchain platforms, currently operates on a Proof-of-Stake (PoS) consensus mechanism designed to secure the network while incentivizing desired validator behaviors. Despite blockchain technology's promise of decentralization, limitations and gaps in decentralization persist, posing challenges for analysis and optimization. This study introduces a comprehensive dataset of validator rewards from the Ethereum Beacon chain, categorized into attestation, proposer, and sync committee rewards. By providing granular, transparent, and auditable records of validator activities, the dataset addresses the fragmentation of raw blockchain data and enables robust evaluations of PoS incentive structures. Researchers can leverage this dataset to assess enforceable rules, verify protocol compliance, and analyze long-term validator behavior. In addition, we apply decentralization metrics such as the Shannon entropy, Gini Index, Nakamoto Coefficient, and Herfindahl-Hirschman Index (HHI) to showcase the dataset's utility in studying decentralization trends. Publicly available on Harvard Dataverse and accompanied by open-source analytical tools on GitHub, this dataset facilitates future research aimed at enhancing blockchain systems' decentralization, security, and efficiency.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.