What is the process for creating metadata crosswalks in digital libraries?

1 Identify the source and target schemas

The first step in creating a metadata crosswalk is to identify the source and target schemas that you want to map. A schema is a set of rules and definitions that govern the structure, content, and semantics of metadata. For example, Dublin Core, MARC, MODS, and METS are some common metadata schemas used in digital libraries. You need to understand the purpose, scope, and characteristics of each schema, as well as their similarities and differences.

2 Analyze the metadata elements and values

The next step is to analyze the metadata elements and values in the source and target schemas. Metadata elements are the basic units of information that describe a resource, such as title, creator, subject, date, and format. Metadata values are the specific data that fill in the elements, such as "The Catcher in the Rye", "J.D. Salinger", "Fiction", "1951", and "Book". You need to compare the definitions, labels, syntax, semantics, and constraints of each element and value, and identify the correspondences and gaps between them.

3 Define the mapping rules and methods

The third step is to define the mapping rules and methods that will guide the conversion and exchange of metadata elements and values. Mapping rules are the statements that specify how to match, transform, or combine the source and target elements and values. Mapping methods are the techniques or tools that implement the mapping rules. For example, you can use one-to-one, one-to-many, many-to-one, or many-to-many mappings, depending on the level of granularity and complexity of the schemas. You can also use crosswalk tables, scripts, or software applications to perform the mappings.

4 Test and evaluate the metadata crosswalk

The fourth step is to test and evaluate the metadata crosswalk to ensure its quality and functionality. You need to apply the mapping rules and methods to a sample of metadata records from the source schema and check the results in the target schema. You need to verify that the metadata crosswalk preserves the accuracy, completeness, consistency, and interoperability of the metadata, and that it meets the requirements and expectations of the users and stakeholders. You can use various methods and criteria to evaluate the metadata crosswalk, such as manual inspection, automated validation, user feedback, or performance indicators.

5 Document and update the metadata crosswalk

The final step is to document and update the metadata crosswalk to facilitate its maintenance and reuse. You need to provide clear and comprehensive documentation that describes the purpose, scope, process, and outcome of the metadata crosswalk, as well as the source and target schemas, the mapping rules and methods, the testing and evaluation results, and any issues or challenges encountered. You also need to monitor and update the metadata crosswalk regularly to reflect any changes or updates in the source and target schemas, the metadata records, or the user needs and preferences.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?