Crossref

Crossref is an essential organization in the scholarly publishing domain. It plays a crucial role in facilitating the discovery and linking of scholarly content. Let's delve into the details:

1. Datasets Registration:

   • Dataset records within Crossref capture information about one or more database records or collections. When registering datasets, it's important to follow these guidelines:
     • Register a DOI (or include a registered DOI) for a parent database. Datasets must be registered as part of a collection.
     • Include all relevant funding, license, and relationship metadata.
     • Specify all contributors involved.
     • Provide relevant dates (creation, publication, and update dates).
     • Describe the dataset's format and provide citation metadata.
   • If you're interested in the technical details, you can explore the Datasets Markup Guide for XML and metadata assistance¹.

2. Free Public Data File:

   • Crossref has generously made available a free data file containing public elements from its 112.5 million metadata records. This file, which is approximately 65GB in size and provided in JSON format, can be accessed via Academic Torrents².

3. Metadata Search:

   • If you're looking for specific scholarly content, you can explore the Crossref Metadata Search. It allows you to search the metadata of journal articles, books, standards, datasets, and more³.

In summary, Crossref's dataset initiatives contribute significantly to the scholarly ecosystem by ensuring proper identification, linking, and accessibility of research data.

Source: Conversation with Bing, 3/17/2024 (1) Datasets - Crossref. https://www.crossref.org/documentation/principles-practices/datasets/. (2) Free public data file of 112+ million Crossref records. https://www.crossref.org/blog/free-public-data-file-of-112-million-crossref-records/. (3) Crossref Metadata Search. https://search.crossref.org/. (4) undefined. https://doi.org/10.13003/83B2GP.