Machine Readable Data
Term · Environment · MLC-T-ENV-016233
Data formats that may be readily parsed by computer programs without access to proprietary libraries. For example, CSV, TSV and RDF formats are machine readable, but PDF and Microsoft Excel are not. Creating and publishing data following Linked Data principles helps search engines and humans to find, access and re-use data. Once information is found, computer programs can re-use data without the need for custom scripts to manipulate the content. Publishing machine readable data using Linked Data principles provides a human and machine readable version.
| Identifier | MLC-T-ENV-016233 |
|---|---|
| Field | Environment |
| References | Adapted from Linked Data Glossary |
Record as JSON
{
"id": "MLC-T-ENV-016233",
"term": "Machine Readable Data",
"field": "Environment",
"definition": "Data formats that may be readily parsed by computer programs without access to proprietary libraries. For example, CSV, TSV and RDF formats are machine readable, but PDF and Microsoft Excel are not. Creating and publishing data following Linked Data principles helps search engines and humans to find, access and re-use data. Once information is found, computer programs can re-use data without the need for custom scripts to manipulate the content. Publishing machine readable data using Linked Data principles provides a human and machine readable version.",
"references": [
"Adapted from Linked Data Glossary"
],
"url": "https://mlchart.com/terminology/environment/machine-readable-data/"
}
Record 16,233 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.