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Title: Introduction to Metadata and Ontologies: Everything You Always Wanted to Know About Metadata and Ontologies (But Were Afraid to Ask)

Abstract

Metadata are contextual data about your experimental data. Metadata are the who, what, when, where, and why of these data. Metadata puts these data into context. In microbiome research, metadata includes information about the sample: when it was collected, where it was collected from, what kind of sample it is, and what were the properties of the environment or experimental condition from which the sample was taken. Information about sample processing is also metadata: methods used to extract and purify molecules (e.g., DNA) from the sample, type of DNA sequencing or other ’omics analyses done, and where the raw experimental data are located. This documentation includes information on the following topics: What are metadata? What kinds of metadata are there? Why are metadata important? Why should metadata be standardized? Why should metadata be machine readable? What is an ontology? Why are ontologies important? What are some examples of ontologies? The documentation also includes further resources on metadata guides and tools and tips for formatting metadata for maximum utility.

Authors:
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  1. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Univ. of Arizona, Tucson, AZ (United States)
  4. California State Univ. (Cal State Monterey Bay), Seaside, CA (United States)
  5. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  6. U.S. Food and Drug Administration (FDA), College Park, MD (United States)
Publication Date:
DOE Contract Number:  
AC02-05CH11231
Product Type:
Dataset
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Microbiome Data Collaborative (NMDC)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
96 KNOWLEDGE MANAGEMENT AND PRESERVATION; 59 BASIC BIOLOGICAL SCIENCES
Keywords:
metadata; ontology; data; experimental data; microbiome; sample; processing; FAIR Data Principles
OSTI Identifier:
1607365
DOI:
https://doi.org/10.25979/1607365

Citation Formats

Thompson, Luke, Vangay, Pajau, Blumberg, Kai, Christianson, Danielle, Dundore-Arias, Jose Pablo, Hu, Bin, Timme, Ruth, and Wood-Charlson, Elisha M. Introduction to Metadata and Ontologies: Everything You Always Wanted to Know About Metadata and Ontologies (But Were Afraid to Ask). United States: N. p., 2020. Web. doi:10.25979/1607365.
Thompson, Luke, Vangay, Pajau, Blumberg, Kai, Christianson, Danielle, Dundore-Arias, Jose Pablo, Hu, Bin, Timme, Ruth, & Wood-Charlson, Elisha M. Introduction to Metadata and Ontologies: Everything You Always Wanted to Know About Metadata and Ontologies (But Were Afraid to Ask). United States. doi:https://doi.org/10.25979/1607365
Thompson, Luke, Vangay, Pajau, Blumberg, Kai, Christianson, Danielle, Dundore-Arias, Jose Pablo, Hu, Bin, Timme, Ruth, and Wood-Charlson, Elisha M. 2020. "Introduction to Metadata and Ontologies: Everything You Always Wanted to Know About Metadata and Ontologies (But Were Afraid to Ask)". United States. doi:https://doi.org/10.25979/1607365. https://www.osti.gov/servlets/purl/1607365. Pub date:Fri Mar 27 00:00:00 EDT 2020
@article{osti_1607365,
title = {Introduction to Metadata and Ontologies: Everything You Always Wanted to Know About Metadata and Ontologies (But Were Afraid to Ask)},
author = {Thompson, Luke and Vangay, Pajau and Blumberg, Kai and Christianson, Danielle and Dundore-Arias, Jose Pablo and Hu, Bin and Timme, Ruth and Wood-Charlson, Elisha M.},
abstractNote = {Metadata are contextual data about your experimental data. Metadata are the who, what, when, where, and why of these data. Metadata puts these data into context. In microbiome research, metadata includes information about the sample: when it was collected, where it was collected from, what kind of sample it is, and what were the properties of the environment or experimental condition from which the sample was taken. Information about sample processing is also metadata: methods used to extract and purify molecules (e.g., DNA) from the sample, type of DNA sequencing or other ’omics analyses done, and where the raw experimental data are located. This documentation includes information on the following topics: What are metadata? What kinds of metadata are there? Why are metadata important? Why should metadata be standardized? Why should metadata be machine readable? What is an ontology? Why are ontologies important? What are some examples of ontologies? The documentation also includes further resources on metadata guides and tools and tips for formatting metadata for maximum utility.},
doi = {10.25979/1607365},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {3}
}