Characteristics of Blockchain-based Digital Asset Datasets: A Systematic Review

Ade Indriawan; Nur Aini Rakhmawati

doi:10.1109/ICITISEE57756.2022.10057712

Characteristics of Blockchain-based Digital Asset Datasets: A Systematic Review

Ade Indriawan
, Nur Aini Rakhmawati

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The widespread use of two types of digital assets derived from blockchain technology, namely cryptocurrencies and NFTs, is inextricably linked to the technology's high level of popularity. The transparency of the blockchain allows for quick access to a wealth of data. This work generates an in-depth review of online datasets for both sorts of digital assets. This study provides a thorough analysis of the platforms employed and the characteristics of the datasets. A meticulous analysis of 45 datasets and the 88 papers that used them reveals the use of more than seven different types of platforms and three different types of data characteristics across all datasets. Datasets with graph-based data type generally have low sparsity, while ordered data type can have various resolutions. Datasets with unstructured data type have specific properties to meet particular needs and can have high dimensionality.

Original language	English
Title of host publication	Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering
Subtitle of host publication	Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	425-430
Number of pages	6
ISBN (Electronic)	9798350399615
DOIs	https://doi.org/10.1109/ICITISEE57756.2022.10057712
Publication status	Published - 2022
Event	6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022 - Virtual, Online, Indonesia Duration: 13 Dec 2022 → 14 Dec 2022

Publication series

Name	Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022

Conference

Conference	6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022
Country/Territory	Indonesia
City	Virtual, Online
Period	13/12/22 → 14/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

& NFT
blockchain cryptocurrency
data characteristics
dataset
dataset platform

Access to Document

10.1109/ICITISEE57756.2022.10057712

Cite this

Indriawan, A., & Rakhmawati, N. A. (2022). Characteristics of Blockchain-based Digital Asset Datasets: A Systematic Review. In Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022 (pp. 425-430). (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICITISEE57756.2022.10057712

Indriawan, Ade ; Rakhmawati, Nur Aini. / Characteristics of Blockchain-based Digital Asset Datasets : A Systematic Review. Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 425-430 (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022).

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title = "Characteristics of Blockchain-based Digital Asset Datasets: A Systematic Review",

abstract = "The widespread use of two types of digital assets derived from blockchain technology, namely cryptocurrencies and NFTs, is inextricably linked to the technology's high level of popularity. The transparency of the blockchain allows for quick access to a wealth of data. This work generates an in-depth review of online datasets for both sorts of digital assets. This study provides a thorough analysis of the platforms employed and the characteristics of the datasets. A meticulous analysis of 45 datasets and the 88 papers that used them reveals the use of more than seven different types of platforms and three different types of data characteristics across all datasets. Datasets with graph-based data type generally have low sparsity, while ordered data type can have various resolutions. Datasets with unstructured data type have specific properties to meet particular needs and can have high dimensionality.",

keywords = "\& NFT, blockchain cryptocurrency, data characteristics, dataset, dataset platform",

author = "Ade Indriawan and Rakhmawati, \{Nur Aini\}",

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year = "2022",

doi = "10.1109/ICITISEE57756.2022.10057712",

language = "English",

series = "Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022",

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Indriawan, A & Rakhmawati, NA 2022, Characteristics of Blockchain-based Digital Asset Datasets: A Systematic Review. in Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 425-430, 6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022, Virtual, Online, Indonesia, 13/12/22. https://doi.org/10.1109/ICITISEE57756.2022.10057712

Characteristics of Blockchain-based Digital Asset Datasets: A Systematic Review. / Indriawan, Ade; Rakhmawati, Nur Aini.
Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 425-430 (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Characteristics of Blockchain-based Digital Asset Datasets

T2 - 6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022

AU - Indriawan, Ade

AU - Rakhmawati, Nur Aini

PY - 2022

Y1 - 2022

N2 - The widespread use of two types of digital assets derived from blockchain technology, namely cryptocurrencies and NFTs, is inextricably linked to the technology's high level of popularity. The transparency of the blockchain allows for quick access to a wealth of data. This work generates an in-depth review of online datasets for both sorts of digital assets. This study provides a thorough analysis of the platforms employed and the characteristics of the datasets. A meticulous analysis of 45 datasets and the 88 papers that used them reveals the use of more than seven different types of platforms and three different types of data characteristics across all datasets. Datasets with graph-based data type generally have low sparsity, while ordered data type can have various resolutions. Datasets with unstructured data type have specific properties to meet particular needs and can have high dimensionality.

AB - The widespread use of two types of digital assets derived from blockchain technology, namely cryptocurrencies and NFTs, is inextricably linked to the technology's high level of popularity. The transparency of the blockchain allows for quick access to a wealth of data. This work generates an in-depth review of online datasets for both sorts of digital assets. This study provides a thorough analysis of the platforms employed and the characteristics of the datasets. A meticulous analysis of 45 datasets and the 88 papers that used them reveals the use of more than seven different types of platforms and three different types of data characteristics across all datasets. Datasets with graph-based data type generally have low sparsity, while ordered data type can have various resolutions. Datasets with unstructured data type have specific properties to meet particular needs and can have high dimensionality.

KW - & NFT

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KW - data characteristics

KW - dataset

KW - dataset platform

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DO - 10.1109/ICITISEE57756.2022.10057712

M3 - Conference contribution

AN - SCOPUS:85150423135

T3 - Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022

SP - 425

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BT - Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 13 December 2022 through 14 December 2022

ER -

Indriawan A, Rakhmawati NA. Characteristics of Blockchain-based Digital Asset Datasets: A Systematic Review. In Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 425-430. (Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022). doi: 10.1109/ICITISEE57756.2022.10057712

Characteristics of Blockchain-based Digital Asset Datasets: A Systematic Review

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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