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Ball, A. (2012) Metadata for Data Citation and Discovery. In: Describe, Disseminate, Discover: Metadata for Effective Data Citation, 20120705 20120705, London. Link to official URL (if available):
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How to fill out metadata for data citation

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How to fill out metadata for data citation?

01
Start by including the author's name. This ensures that credit is given to the individual or organization responsible for creating the data.
02
Include the title of the dataset. This should clearly describe the content of the data and make it easy for others to identify and reference.
03
Provide a description of the dataset. This can include information about the methodology used, the data collection process, and any relevant details that help in understanding the dataset better.
04
Specify the date the dataset was created or last updated. This helps others determine the relevancy and currency of the data.
05
Include the version number of the dataset. This is particularly important if there are multiple versions available to ensure accurate referencing and reproducibility.
06
Provide information about the data format or file type. This helps others understand how to access and utilize the data effectively.
07
Include information about the data source or repository where the dataset can be found. This ensures that others can locate and access the data for verification or further analysis.
08
Specify any relevant identifiers or DOIs (Digital Object Identifiers) associated with the dataset. These identifiers provide a unique and persistent link to the data, making it easier for others to reference and cite the data accurately.

Who needs metadata for data citation?

01
Researchers and scientists who want to reference or build upon existing datasets for their own studies.
02
Data analysts who rely on accurate and comprehensive metadata to ensure the quality and reliability of their analyses.
03
Publishers and journal editors who require metadata to ensure proper citation and attribution of data used in scholarly articles.
04
Funding agencies and institutions that want to track and monitor the impact and usage of the datasets they have supported or produced.
05
Data users, including policymakers, educators, and the general public, who want to access and understand the data being shared.
By following the outlined steps for filling out metadata for data citation, individuals and organizations can ensure that their datasets are properly credited, discoverable, and reproducible, leading to a more transparent and collaborative research landscape.
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Metadata for data citation is descriptive information about the data that helps identify and locate it, including details like author, title, dates, and the type of data.
Researchers, authors, and data producers are typically required to file metadata for data citation when sharing or publishing data.
Metadata for data citation can be filled out by providing accurate and detailed information about the data, following specific guidelines or standards for formatting.
The purpose of metadata for data citation is to help others easily find and understand the data, ensuring proper credit is given to the original source and facilitating data reuse.
Metadata for data citation should include information such as title, author, date created, version, location, and any relevant identifiers or keywords.
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