Analysis of the Czech web archive: Provenance, authenticity and technical parameters
Vol.11,No.1(2019)
Purpose – The article provides an overview of possible input criteria when archiving web pages through web archives and describes what impact their settings may have on the resulting archive data in the content, format, and technical plane. Setting the input parameters for web archiving directly determines the resulting form of archive content, and if research is done over these data, researchers need to know the source of the data. Without this knowledge, it is not possible for researchers to use archival data as representative source.
Design/Methodology/Approach – The basic method for article processing was data analysis of the index, i.e. the list of all digital objects of the Czech Web Archive (the Webarchiv) of the National Library of the Czech Republic, and the input variables in the creation of archival data. Specifically, their provenance, authenticity, or content was investigated. Furthermore, the technical side of the archiving concerns, for example, the setting of the harvesters. The analysis is based on experience and was performed with the actual harvested data.
Results – The article summarises the factors that influence the resulting form of archive data. First, there are factors that directly affect data collection, such as technical settings, resource Collection policy, and legislation. Second, there are factors concerning the handling of archive data, in particular rules for deleting and limiting access to content. The article also describes web archive index analysis that brought a quantified view of the archive and showed the numbers of digital objects, layout of file formats, domain composition, and archive development over time.
Originality/Value – The greatest benefit of the article is a comprehensive overview of the data stored in the Webarchiv, how they are created and what affects their creation. This is crucial for all potential researchers who are interested in working with Webarchiv data and who need to know the source of the data for their research.
web archiving; Webarchiv; big data; data mining; data analysis; digital archiving; web resources; web archiving methods
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