All WARC and no playback: The materialities of data-centered web archives research
This paper examines the Web ARChive (WARC) file format, revealing how the format has come to play a central role in the development and standardization of interoperable tools and methods for the international web archiving community. In the context of emerging big data approaches, I consider the soc...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2023-01-01
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| Series: | Big Data & Society |
| Online Access: | https://doi.org/10.1177/20539517231163172 |
| _version_ | 1797871197465083904 |
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| author | Emily Maemura |
| author_facet | Emily Maemura |
| author_sort | Emily Maemura |
| collection | DOAJ |
| description | This paper examines the Web ARChive (WARC) file format, revealing how the format has come to play a central role in the development and standardization of interoperable tools and methods for the international web archiving community. In the context of emerging big data approaches, I consider the sociotechnical relationships between material construction of data and information infrastructures for collecting and research. Analysis is inspired by Star and Griesemer's historical case of the Museum of Vertebrate Zoology which reveals how boundary objects and methods standardization are used to enroll actors in the work of collecting for natural history. I extend these concepts by pairing them with frameworks for studying digital materiality and the representational qualities of data artifacts. Through examples drawn from fieldwork observations studying two data-centered research projects, I consider how the materiality of the WARC format influences research methods and approaches to data extraction, selection, and transformation. Findings identify three modalities researchers use to configure WARC data for researcher needs: using indexes to support search queries, constructing derivative formats designed for certain types of analysis, and generating custom-designed datasets tailored for specific research purposes. Findings additionally reveal similarities in how these distinct methods approach automated data extraction by relying upon the WARC's standardized metadata elements. By interrogating whose information needs are being met and taken into account in the design of the WARC's underlying information representation, I reveal effects on the emerging field of web history, and consider alternative approaches to knowledge production with archived web data. |
| first_indexed | 2024-04-10T00:39:16Z |
| format | Article |
| id | doaj.art-2277213278d545558b66e60a2932db77 |
| institution | Directory Open Access Journal |
| issn | 2053-9517 |
| language | English |
| last_indexed | 2024-04-10T00:39:16Z |
| publishDate | 2023-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Big Data & Society |
| spelling | doaj.art-2277213278d545558b66e60a2932db772023-03-14T07:03:19ZengSAGE PublishingBig Data & Society2053-95172023-01-011010.1177/20539517231163172All WARC and no playback: The materialities of data-centered web archives researchEmily MaemuraThis paper examines the Web ARChive (WARC) file format, revealing how the format has come to play a central role in the development and standardization of interoperable tools and methods for the international web archiving community. In the context of emerging big data approaches, I consider the sociotechnical relationships between material construction of data and information infrastructures for collecting and research. Analysis is inspired by Star and Griesemer's historical case of the Museum of Vertebrate Zoology which reveals how boundary objects and methods standardization are used to enroll actors in the work of collecting for natural history. I extend these concepts by pairing them with frameworks for studying digital materiality and the representational qualities of data artifacts. Through examples drawn from fieldwork observations studying two data-centered research projects, I consider how the materiality of the WARC format influences research methods and approaches to data extraction, selection, and transformation. Findings identify three modalities researchers use to configure WARC data for researcher needs: using indexes to support search queries, constructing derivative formats designed for certain types of analysis, and generating custom-designed datasets tailored for specific research purposes. Findings additionally reveal similarities in how these distinct methods approach automated data extraction by relying upon the WARC's standardized metadata elements. By interrogating whose information needs are being met and taken into account in the design of the WARC's underlying information representation, I reveal effects on the emerging field of web history, and consider alternative approaches to knowledge production with archived web data.https://doi.org/10.1177/20539517231163172 |
| spellingShingle | Emily Maemura All WARC and no playback: The materialities of data-centered web archives research Big Data & Society |
| title | All WARC and no playback: The materialities of data-centered web archives research |
| title_full | All WARC and no playback: The materialities of data-centered web archives research |
| title_fullStr | All WARC and no playback: The materialities of data-centered web archives research |
| title_full_unstemmed | All WARC and no playback: The materialities of data-centered web archives research |
| title_short | All WARC and no playback: The materialities of data-centered web archives research |
| title_sort | all warc and no playback the materialities of data centered web archives research |
| url | https://doi.org/10.1177/20539517231163172 |
| work_keys_str_mv | AT emilymaemura allwarcandnoplaybackthematerialitiesofdatacenteredwebarchivesresearch |