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Capacity International Data Citation Capacity Metadata Schema for the Publication and Citation of Research Data Version 2.2 July 2011 DOI:10.5438/0005 Members of the Metadata Working Group Joan Starr,
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How to fill out datacite metadata kernel
How to fill out datacite metadata kernel:
01
Start by gathering all the necessary information for your dataset, such as the title, authors, and publication year.
02
Provide a concise and descriptive abstract that accurately summarizes the contents of your dataset.
03
Include relevant keywords or subject headings that will help others discover your dataset.
04
Specify the resource type of your dataset, whether it is a dataset, software, or another type of scholarly work.
05
Clearly indicate the authors or contributors of the dataset, including their names and affiliations.
06
If applicable, provide additional details such as funding sources or grants that supported the creation of your dataset.
07
Specify the version of your dataset, if multiple versions exist, and provide any relevant identifiers or references.
08
Include information about the publisher or repository where your dataset will be deposited or made available.
09
Provide access rights information, such as the license under which your dataset is released, to ensure proper usage and attribution.
10
Review your completed datacite metadata kernel for accuracy and completeness before submission.
Who needs datacite metadata kernel:
01
Researchers and scholars who want to ensure proper documentation and discoverability of their datasets.
02
Publishers and repositories that require standardized metadata for cataloging and archiving datasets.
03
Funding agencies or institutions that require metadata to track and evaluate the impact and usage of funded research.
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What is datacite metadata kernel?
Datacite Metadata Kernel is a metadata schema that provides a standardized format for describing research data, specifically designed for use in research data repositories. It enables the consistent and accurate representation of essential metadata elements for research datasets.
Who is required to file datacite metadata kernel?
Research data repositories and data centers are required to use Datacite Metadata Kernel for filing metadata of research datasets.
How to fill out datacite metadata kernel?
Datacite provides guidelines and documentation on how to fill out the Datacite Metadata Kernel. These guidelines include instructions on each metadata element, its format, and any controlled vocabulary or controlled lists that should be used for providing accurate information.
What is the purpose of datacite metadata kernel?
The purpose of Datacite Metadata Kernel is to ensure consistent and standardized representation of research data metadata, making it easier for researchers to discover, cite, and reuse research datasets. It also improves interoperability between different research data repositories and data centers.
What information must be reported on datacite metadata kernel?
Datacite Metadata Kernel requires various information to be reported, including but not limited to: title, author(s), publisher, publication year, resource type, identifiers (e.g., DOI), keywords, description, access rights, funding information, and related publications.
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