NASSDA as a Data-Collaborative Network to Enhance Social Science Research in East Asia

The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data. All data is in scope, whether born digital or converted from other sources.

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Publication Details

Journal
Data Science Journal
Published
2025-01-01
DOI
https://doi.org/10.5334/dsj-2025-003
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

NASSDA as a Data-Collaborative Network to Enhance Social Science Research in East Asia

H. Ishida, Pei‐Shan Liao, Won-ho Park, Shuai Wang et al.
Data Science Journal
Research Data Management Practices
article

NASSDA as a Data-Collaborative Network to Enhance Social Science Research in East Asia

H. Ishida, Pei‐Shan Liao, Won-ho Park, Shuai Wang, Hearan Koo
article en

Abstract

The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data. All data is in scope, whether born digital or converted from other sources.

Data Science JournalVol. 24
Academia Sinica (TW)
Openalex Percentile: Top 100%
Research Data Management Practices
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