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This document describes a method developed by the Texas Advanced Computing Center and the Institute for Classical Archaeology to automate the extraction of metadata from digital archaeological data
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How to fill out Automating the Extraction of Metadata From Archaeological Data Using iRods Rules

01
Identify the archaeological data sources that need metadata extraction.
02
Install and set up the iRODS system on your server.
03
Create a new iRODS rule that specifies the metadata extraction process.
04
Define the metadata templates that will be used for extracting information.
05
Write rules within iRODS to automate the extraction of specified metadata fields.
06
Test the rule with sample data to ensure it functions as expected.
07
Monitor the output and adjust the rules as necessary for accuracy.
08
Implement the automation process on a larger scale for complete datasets.

Who needs Automating the Extraction of Metadata From Archaeological Data Using iRods Rules?

01
Archaeologists who want to manage and analyze archaeological data efficiently.
02
Research institutions aiming to streamline data workflows.
03
Museums that require systematic metadata for digital collections.
04
Academics looking to enhance their research through automated data handling.
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It refers to a process that utilizes iRods (Integrated Rule-Oriented Data System) to automatically gather and manage metadata associated with archaeological datasets, enabling efficient data organization and retrieval.
Archaeologists, researchers, and institutions handling archaeological data are required to implement these rules to ensure standardized metadata extraction and management.
To fill out these rules, users need to define specific metadata fields and configure iRods to automate the extraction processes according to set parameters and rules.
The purpose is to streamline the process of metadata collection, improve data accessibility, and enhance the overall management of archaeological information within digital environments.
Information such as project title, dataset description, spatial and temporal coverage, data creators, and associated keywords must be reported to maintain comprehensive metadata standards.
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