Archives, linked data and the digital humanities: increasing access to digitised and born-digital archives via the semantic web. Hawkins, A. Archival Science, 22:52–76, December, 2021. 🏷️ /unread
Archives, linked data and the digital humanities: increasing access to digitised and born-digital archives via the semantic web [link]Paper  doi  abstract   bibtex   
Mass digitisation and the exponential growth of born-digital archives over the past two decades have resulted in an enormous volume of archives and archival data being available digitally. This has produced a valuable but under-utilised source of large-scale digital data ripe for interrogation by scholars and practitioners in the Digital Humanities. However, current digitisation approaches fall short of the requirements of digital humanists for structured, integrated, interoperable, and interrogable data. Linked Data provides a viable means of producing such data, creating machine-readable archival data suited to analysis using digital humanities research methods. While a growing body of archival scholarship and praxis has explored Linked Data, its potential to open up digitised and born-digital archives to the Digital Humanities is under-examined. This article approaches Archival Linked Data from the perspective of the Digital Humanities, extrapolating from both archival and digital humanities Linked Data scholarship to identify the benefits to digital humanists of the production and provision of access to Archival Linked Data. It will consider some of the current barriers preventing digital humanists from being able to experience the benefits of Archival Linked Data evidenced, and to fully utilise archives which have been made available digitally. The article argues for increased collaboration between the two disciplines, challenges individuals and institutions to engage with Linked Data, and suggests the incorporation of AI and low-barrier tools such as Wikidata into the Linked Data production workflow in order to scale up the production of Archival Linked Data as a means of increasing access to and utilisation of digitised and born-digital archives. 【摘要翻译】在过去二十年里,大规模数字化和出生数字档案的指数式增长导致大量档案和档案数据以数字方式提供。这为数字人文领域的学者和从业人员提供了一个宝贵但未得到充分利用的大规模数字数据源。然而,当前的数字化方法并不能满足数字人文学者对结构化、集成化、可互操作和可查询数据的要求。关联数据(Linked Data)提供了生成此类数据的可行方法,创建了适合使用数字人文研究方法进行分析的机器可读档案数据。尽管越来越多的档案学术研究和实践探索了关联数据,但其向数字人文开放数字化和天生数字化档案的潜力还没有得到充分的研究。这篇文章从数字人文的角度来探讨档案关联数据,从档案和数字人文关联数据的学术研究中推断出制作和提供访问档案关联数据对数字人文学者的益处。文章将考虑当前阻碍数字人文学者体验档案关联数据所带来的好处,以及充分利用以数字方式提供的档案的一些障碍。文章主张加强这两个学科之间的合作,挑战个人和机构参与关联数据,并建议将人工智能和低障碍工具(比如维基数据)纳入到关联数据的生产工作流程中,以便扩大档案关联数据的生产规模,以此来增加数字化和天生数字化档案的获取和利用。
@article{hawkins2021,
	title = {Archives, linked data and the digital humanities: increasing access to digitised and born-digital archives via the semantic web},
	volume = {22},
	issn = {1573-7500},
	shorttitle = {档案、链接数据和数字人文学科:通过语义网增加对数字化和天生数字档案的利用},
	url = {https://doi.org/10.1007/s10502-021-09381-0},
	doi = {10.1007/s10502-021-09381-0},
	abstract = {Mass digitisation and the exponential growth of born-digital archives over the past two decades have resulted in an enormous volume of archives and archival data being available digitally. This has produced a valuable but under-utilised source of large-scale digital data ripe for interrogation by scholars and practitioners in the Digital Humanities. However, current digitisation approaches fall short of the requirements of digital humanists for structured, integrated, interoperable, and interrogable data. Linked Data provides a viable means of producing such data, creating machine-readable archival data suited to analysis using digital humanities research methods. While a growing body of archival scholarship and praxis has explored Linked Data, its potential to open up digitised and born-digital archives to the Digital Humanities is under-examined. This article approaches Archival Linked Data from the perspective of the Digital Humanities, extrapolating from both archival and digital humanities Linked Data scholarship to identify the benefits to digital humanists of the production and provision of access to Archival Linked Data. It will consider some of the current barriers preventing digital humanists from being able to experience the benefits of Archival Linked Data evidenced, and to fully utilise archives which have been made available digitally. The article argues for increased collaboration between the two disciplines, challenges individuals and institutions to engage with Linked Data, and suggests the incorporation of AI and low-barrier tools such as Wikidata into the Linked Data production workflow in order to scale up the production of Archival Linked Data as a means of increasing access to and utilisation of digitised and born-digital archives.

【摘要翻译】在过去二十年里,大规模数字化和出生数字档案的指数式增长导致大量档案和档案数据以数字方式提供。这为数字人文领域的学者和从业人员提供了一个宝贵但未得到充分利用的大规模数字数据源。然而,当前的数字化方法并不能满足数字人文学者对结构化、集成化、可互操作和可查询数据的要求。关联数据(Linked Data)提供了生成此类数据的可行方法,创建了适合使用数字人文研究方法进行分析的机器可读档案数据。尽管越来越多的档案学术研究和实践探索了关联数据,但其向数字人文开放数字化和天生数字化档案的潜力还没有得到充分的研究。这篇文章从数字人文的角度来探讨档案关联数据,从档案和数字人文关联数据的学术研究中推断出制作和提供访问档案关联数据对数字人文学者的益处。文章将考虑当前阻碍数字人文学者体验档案关联数据所带来的好处,以及充分利用以数字方式提供的档案的一些障碍。文章主张加强这两个学科之间的合作,挑战个人和机构参与关联数据,并建议将人工智能和低障碍工具(比如维基数据)纳入到关联数据的生产工作流程中,以便扩大档案关联数据的生产规模,以此来增加数字化和天生数字化档案的获取和利用。},
	language = {en},
	urldate = {2022-01-14},
	journal = {Archival Science},
	author = {Hawkins, Ashleigh},
	month = dec,
	year = {2021},
	note = {🏷️ /unread},
	keywords = {/unread},
	pages = {52--76},
}

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