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Purpose – For decades, archivists have been appraising, preserving, and providing access to digital records by using archival theories and methods developed for paper records. However, production and consumption of digital records are informed by social and industrial trends and by computer and data methods that show little or no connection to archival methods. The purpose of this chapter is to reexamine the theories and methods that dominate records practices. The authors believe that this situation calls for a formal articulation of a new transdiscipline, which they call computational archival science (CAS).

Design/Methodology/Approach – After making a case for CAS, the authors present motivating case studies: (1) evolutionary prototyping and computational linguistics; (2) graph analytics, digital humanities, and archival representation; (3) computational finding aids; (4) digital curation; (5) public engagement with (archival) content; (6) authenticity; (7) confluences between archival theory and computational methods: cyberinfrastructure and the records continuum; and (8) spatial and temporal analytics.

Findings – Each case study includes suggestions for incorporating CAS into Master of Library Science (MLS) education in order to better address the needs of today’s MLS graduates looking to employ “traditional” archival principles in conjunction with computational methods. A CAS agenda will require transdisciplinary iSchools and extensive hands-on experience working with cyberinfrastructure to implement archival functions.

Originality/Value – We expect that archival practice will benefit from the development of new tools and techniques that support records and archives professionals in managing and preserving records at scale and that, conversely, computational science will benefit from the consideration and application of archival principles.

Despite being an authentic carrier of various cultural practices, the human body is often underutilised to access the knowledge of human body. Digital inventions today have created new avenues to open up cultural data resources, yet mainly as apparatuses for well-annotated and object-based collections. Hence, there is a pressing need for empowering the representation of intangible expressions, particularly embodied knowledge within its cultural context. To address this issue, the authors propose to inspect the potential of machine learning methods to enhance archival knowledge interaction with intangible cultural heritage (ICH) materials.

This research adopts a novel approach by combining movement computing with knowledge-specific modelling to support retrieving through embodied cues, which is applied to a multimodal archive documenting the cultural heritage (CH) of Southern Chinese martial arts.

Through experimenting with a retrieval engine implemented using the Hong Kong Martial Arts Living Archive (HKMALA) datasets, this work validated the effectiveness of the developed approach in multimodal content retrieval and highlighted the potential for the multimodal's application in facilitating archival exploration and knowledge discoverability.

This work takes a knowledge-specific approach to invent an intelligent encoding approach through a deep-learning workflow. This article underlines that the convergence of algorithmic reckoning and content-centred design holds promise for transforming the paradigm of archival interaction, thereby augmenting knowledge transmission via more accessible CH materials.

This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.

In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.

Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.

The volunteer basis of this study meant that the sample was not representative or generalisable.

Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.

Recent archiving and curatorial practices took advantage of the advancement in digital technologies, creating immersive and interactive experiences to emphasize the plurality of memory materials, encourage personalized sense-making and extract, manage and share the ever-growing surrounding knowledge. Audiovisual (AV) content, with its growing importance and popularity, is less explored on that end than texts and images. This paper examines the trend of datafication in AV archives and answers the critical question, “What to extract from AV materials and why?”.

This study roots in a comprehensive state-of-the-art review of digital methods and curatorial practices in AV archives. The thinking model for mapping AV archive data to purposes is based on pre-existing models for understanding multimedia content and metadata standards.

The thinking model connects AV content descriptors (data perspective) and purposes (curatorial perspective) and provides a theoretical map of how information extracted from AV archives should be fused and embedded for memory institutions. The model is constructed by looking into the three broad dimensions of audiovisual content – archival, affective and aesthetic, social and historical.

This paper contributes uniquely to the intersection of computational archives, audiovisual content and public sense-making experiences. It provides updates and insights to work towards datafied AV archives and cope with the increasing needs in the sense-making end using AV archives.

This study aims to provide an overview of recent efforts relating to natural language processing (NLP) and machine learning applied to archival processing, particularly appraisal and sensitivity reviews, and propose functional requirements and workflow considerations for transitioning from experimental to operational use of these tools.

The paper has four main sections. 1) A short overview of the NLP and machine learning concepts referenced in the paper. 2) A review of the literature reporting on NLP and machine learning applied to archival processes. 3) An overview and commentary on key existing and developing tools that use NLP or machine learning techniques for archives. 4) This review and analysis will inform a discussion of functional requirements and workflow considerations for NLP and machine learning tools for archival processing.

Applications for processing e-mail have received the most attention so far, although most initiatives have been experimental or project based. It now seems feasible to branch out to develop more generalized tools for born-digital, unstructured records. Effective NLP and machine learning tools for archival processing should be usable, interoperable, flexible, iterative and configurable.

Most implementations of NLP for archives have been experimental or project based. The main exception that has moved into production is ePADD, which includes robust NLP features through its named entity recognition module. This paper takes a broader view, assessing the prospects and possible directions for integrating NLP tools and techniques into archival workflows.

This paper presents the results of a number of experiments performed at the National Archives, all related to the theme of linking collections of records. This paper aims to present a methodology for translating a hierarchy into a network structure using a number of methods for deriving statistical distributions from records metadata or content and then aggregating them. Simple similarity metrics are then used to compare and link, collections of records with similar characteristics.

The approach taken is to consider a record at any level of the catalogue hierarchy as a summary of its children. A distribution for each child record is created (e.g. word counts and date distribution) and averaged/summed with the other children. This process is repeated up the hierarchy to find a representative distribution of the whole series. By doing this the authors can compare record series together and create a similarity network.

The summarising method was found to be applicable not only to a hierarchical catalogue but also to web archive data, which is by nature stored in a hierarchical folder structure. The case studies raised many questions worthy of further exploration such as how to present distributions and uncertainty to users and how to compare methods, which produce similarity scores on different scales.

Although the techniques used to create distributions such as topic modelling and word frequency counts, are not new and have been used to compare documents, to the best of the knowledge applying the averaging approach to the archival catalogue is new. This provides an interesting method for zooming in and out of a collection, creating networks at different levels of granularity according to user needs.

Social media posts have been an integral part of our society’s communication and serve purposes from the personal to the national, from the mundane to the silly to the momentous. This study aims to examine social media posts as records, discussing how social media technology serves, perhaps unexpectedly, to reinforce traditional archival understandings of issues such as provenance, custody, access, disposition and preservation.

This study follows a four-step methodology. First, this study analyzes literature for a matching definition of the social media record. In the second step, we appraise three social media postings previously curated and cited in news articles by journalists to determine their characteristics – Are these social media posts “records?” Third, this study evaluates the sample records against two dominant theoretical record models, the life cycle and the continuum and attempt to apply the model specifications to the data samples. Finally, this study proposes appropriate records management solutions to address governance issues from the study findings in the conclusion section.

This study shows that, even by the most traditional of definitions, social media posts are records. The paper also demonstrates that platform mediation transforms simple narrative documents into records whose provenance, custody and control are dictated by platform logics and governance, outside of the control of their creators. Through appraisal of a small sample of “important” social media posts, this study illustrates that, rather than obsolete, traditional records management concepts and approaches are necessary to ensuring the ongoing accessibility, usability and evidentiary character of social media posts in the broader “platformized” context.

This is exploratory, theoretical work. In future works, this study plans to expand and validate aspects of this study.

This paper tests existing theoretical frameworks, namely, the Records Life cycle and the Records Continuum for applicability to the social media record. The paper also offers a view of the potential for traditional archival and records management concepts in service of a just and inclusive recordkeeping, because such concepts allow us to demonstrate the centralized, elite-serving, bureaucratic structures which underpin social media records are obscured by the seemingly decentralized, participatory nature of social media.

This study aims to examine the awareness and perception of the relevance of blockchain technology in the management of libraries and archives in the fourth industrial revolution in a developing country, Nigeria.

Ten system librarians selected from five different libraries and ten archivists selected from five different archives in the Southwest geopolitical zone of Nigeria represent the sample for the study. The study adopted a purely qualitative approach where data was collected through an open-ended questionnaire mailed to the participants to guide against physical contact and maintained social distancing to observe COVID-19 protocol.

The results reveal that both the librarians and archivists are aware of blockchain technology, its adoption and use in libraries and archives. There is a positive perception about blockchain technology believing that it can assist libraries and archives in storing information in a distributed settings through gathering, preserving and sharing authoritative information, and supports archivists in creating a unique verifiable record that can be accessed by anyone in archives. Implementation, maintenance cost and difficulty in sustainability are identified as the challenges of blockchain adoption.

This study is limited to one geopolitical zone of Nigeria which necessitates the need for further research on the similar subject matter in other geopolitical zones in Nigeria.

The findings of the study have identified the need for librarians and archivists to increase their awareness and develop a positive perception toward blockchain technologies.

To the best of the authors’ knowledge, this study is the first to research the relevance of blockchain technology in Nigerian libraries and archives. This paper reported the benefits libraries and archives could derive from the adoption of blockchain, and how such can improve effective services delivery to the satisfaction of the users of archives and libraries.

This paper theorizes ubiquitous computing as a novel configuration of the archive. Such a configuration is characterized by shifts in agency underlying archival mechanics and a pronounced rhythmic diminution of such mechanics in which the user's experiential present tense is rendered fundamentally historical. In doing so, this paper troubles the relationship between: archival mechanics such as appraisal, accession and access; the archive as a site of historical knowledge production and the pervasiveness of data-driven daily life.

By employing conceptual analysis, I analyze a classic vision of ubiquitous computing to describe the historicization of the present tense in an increasingly computerized world. The conceptual analysis employed here draws on an interdisciplinary set of literature from library and information science, philosophy and computing fields such as human-computer interaction (HCI) and ubiquitous computing.

I present the concept of the data perfect tense, which is derived from the future perfect tense: the “will have had” construction. It refers to a historicized, data-driven and fundamentally archival present tense characterizing the user's lived world in which the goal of action is to have had created data for future unspecified use. The data perfect reifies ubiquitous computing as an archive, or a site of historical knowledge production predicated on sets of potential statements derived from data generated, appraised, acquisitioned and made accessible through and by means of pervasive “smart” objects.

This paper provides foundational consideration of ubiquitous computing as a configuration of the archive through the analysis of its temporalities: a rhythmic diminution that renders users' experiential present tenses as fundamentally historical, constructed through the agency of smart devices. In doing so, it: contributes to ongoing work within HCI seeking to understand the relationship between HCI and history; introduces concepts relevant to the analysis of novel technological ecologies in terms of archival theory; and constitutes preliminary interdisciplinary steps towards highlighting the relevance of theories of the archive and archival mechanics for critiquing sociotechnical concerns such as surveillance capitalism.