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This document provides guidelines for producing Metadata Documents (MDD) that comply with NOAA NESDIS standards for metadata pertaining to environmental data generated by various software systems.
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How to fill out Metadata Document Guideline

01
Start by reviewing the Metadata Document Guideline template to understand its structure.
02
Gather all necessary information related to the project or dataset.
03
Fill out the document sections sequentially, starting with the title and description.
04
Ensure you provide accurate keywords that reflect the content of the project.
05
Include details regarding the creators, contributors, and their roles.
06
Specify the format and date of creation for the dataset.
07
Add any relevant licenses or rights information.
08
Include contact information for further inquiries.
09
Review the document for completeness and clarity before submission.

Who needs Metadata Document Guideline?

01
Researchers looking to publish their data sets.
02
Institutional repositories that require metadata for archiving.
03
Data managers who organize and maintain datasets.
04
Organizations aiming to comply with data management policies.
05
Anyone involved in collaborative projects with shared data resources.
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People Also Ask about

ing to ``Metadata Application Profiles in US Academic Libraries: A Document Analysis'' (Ashlea M. Green 2021), Dublin Core was the most popular schema used in their analysis, with MODS being second.
In a nutshell, metadata is data that describes other data or gives information about this data. So, for example, letters or characters in a text are data. The number of letters in a text and author name is the metadata.
ISO 23081 is a three-part technical specification defining metadata needed to manage records. Part 1 addresses principles, part 2 addresses conceptual and implementation issues, and part 3 outlines a self-assessment method.
Minimum Required Content Include location, data type, time period, and name of author, program, or institution. Do not use special characters. Keep title to fewer than 85 characters.
Metadata Types There are three main types of metadata: descriptive, administrative, and structural. Descriptive metadata enables discovery, identification, and selection of resources. It can include elements such as title, author, and subjects. Administrative metadata facilities the management of resources.
Document metadata is information assigned to a document to provide additional context. This metadata describes such characteristics as what the document is, who created it and when it was created.
Common Elements & Definitions Title - name given to the resource. Creator - entity primarily responsible for making the resource. Date - point or period of time associated with an event in the lifecycle of the resource. Subject/keyword - topic of the resource. Type - nature or genre of the resource.
A metadata standard is a set of predefined guidelines that dictate the structure and format of metadata, ensuring consistency in describing and managing data. Metadata standards are important because they facilitate uniformity and interoperability, enabling effective data management.

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The Metadata Document Guideline provides a standardized framework for documenting and describing the properties and attributes of data sets, ensuring that important contextual information is captured and accessible.
Individuals or organizations that create, manage, or share data sets, particularly in research, government, and academic settings, are required to file the Metadata Document Guideline.
To fill out the Metadata Document Guideline, users should follow the prescribed format, providing relevant details about the data set, such as title, authorship, date of creation, subject, and methods of collection, among other specifications.
The purpose of the Metadata Document Guideline is to enhance data discoverability, usability, and interoperability by providing essential information about data sets, thereby facilitating better data management and sharing.
The information that must be reported includes the title of the data set, creator or author information, dates of creation and modification, subject keywords, geographic coverage, data format, and any applicable licensing information.
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