DOI ORCID Index: A Dataset for Enriching Bibliographic Metadata with ORCID Identifiers
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://zenodo.org/record/14878632
下载链接
链接失效反馈官方服务：
资源简介：
The DOI ORCID Index is a dataset derived from the annual ORCID public data file, specifically from its XML summaries. It is designed to facilitate the enrichment of bibliographic metadata within the OpenCitations Meta index by integrating ORCID identifiers with DOI-based metadata.
Purpose
Sources used to populate OpenCitations Meta (e.g., Crossref, PubMed, JaLC, OpenAIRE, DataCite) do not always include ORCID information for all authors in a bibliographic record. However, the ORCID dump provides this valuable data, allowing for improved integration. By merging these sources, the DOI ORCID Index enhances bibliographic metadata completeness, improving author disambiguation and citation tracking.
Dataset Structure
The dataset consists of CSV files with the following columns:
id: A DOI (Digital Object Identifier). If no bibliographic resource is linked to a specific ORCID, this field may contain "None".
value: The author’s name in the format: Lastname, Firstname [ORCID].
Example:
id
value
10.1162/qss_a_00292
Massari, Arcangelo [0000-0002-8420-0696]
Latest Version
The most recent version of this dataset is based on the ORCID Public Data File 2024, available at:ORCID Public Data File 2024.
创建时间：
2025-02-16
