from PART III - MANAGING METADATA
Published online by Cambridge University Press: 08 June 2018
Overview
This chapter is all about the content of metadata elements. Permissive standards such as Dublin Core describe what each field or data element is for, but do not specify how the content of that data element is generated. For instance, the ‘dc:creator’ data element might contain the name of an organisation as it is known to the website manager, it might be taken from an authority file, or it may be created according to a set of cataloguing rules such as AACR2. This chapter is about the techniques or mechanisms that are used to manage and control the content of individual data elements. This is important for consistency, quality of retrieval and efficiency of operation. Controlled vocabularies, authorities and cataloguing rules all come under the heading of encoding schemes. A more detailed treatment of cataloguing can be found in Welsh and Batley (2012). The development and use of controlled vocabularies are covered in classic works such as Aitchison, Gilchrist and Bawden (2000) and more recently in Broughton (2006). Lambe (2007) and Broughton (2015) deal with aspects of classification and taxonomies – also important sources of terms for metadata elements.
Role of taxonomies in metadata
Hedden (2016) recognises the convergence of metadata and taxonomies and the richness of software applications to handle taxonomies and ontologies. It is key to managing the content of metadata elements. Lambe (2007) sees metadata as one way of instantiating a taxonomy, the other being a thesaurus. Increasingly taxonomies and controlled vocabularies are being incorporated into document and information management products and services such as Sharepoint 2013. White (2016) makes a strong case for the use of taxonomies and controlled vocabularies in an enterprise search environment. Bloggers such as Earley (2017) and the Metadata Research Center (Drexel University, 2017) have also contributed to discussion about metadata and taxonomies.
Encoding and maintenance of controlled vocabularies
One of the strengths of metadata schemas such as Dublin Core is that it provides a means of comparing the content of data elements for different resources. Each element has a defined meaning, so that there is a semantic relationship. This means, for instance, that the Creator data element will contain information about the person, group or organisation responsible for creating the resource. This provides a mechanism for implementing the semantic web, where like can be compared with like.
To save this book to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Find out more about the Kindle Personal Document Service.
To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.
To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.