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Abstract

Inscriptions are defined as traces of scientific research production that are embodied in material artifacts and media, which encompass a wide variety of nonverbal forms such as graphs, diagrams, and tables. Inscription serves as a fundamental rhetorical device in research outputs and practices. As many inscriptions are deeply rooted in a scientific research paradigm, they can be used to evaluate the level of scientificity of a scientific field. This is specifically helpful to understand the relationships between research traditions in digital humanities (DH), a highly cross-disciplinary between various humanities and scientific traditions. This paper presents a quantitative, community-focused examination of how inscriptions are used in English-language research articles in DH journals. We randomly selected 252 articles published between 2011 and 2020 from a representative DH journal list, and manually classified the inscriptions and author domains in these publications. We found that inscriptions have been increasingly used during the past decade, and their uses are more intensive in publications led by STEM authors comparing to other domains. This study offers a timely survey of the disciplinary landscape of DH from the perspective of inscriptions and sheds light on how different research approaches collaborate and combat in the field of DH.

Source

Journal of the Association for Information Science and Technology. 73(2022) no.2, S.172-187

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Abstract

The data paper, an emerging scholarly genre, describes research data sets and is intended to bridge the gap between the publication of research data and scientific articles. Research examining how data papers report data events, such as data transactions and manipulations, is limited. The research reported on in this article addresses this limitation and investigated how data events are inscribed in data papers. A content analysis was conducted examining the full texts of 82 data papers, drawn from the curated list of data papers connected to the Global Biodiversity Information Facility. Data events recorded for each paper were organized into a set of 17 categories. Many of these categories are described together in the same sentence, which indicates the messiness of data events in the laboratory space. The findings challenge the degrees to which data papers are a distinct genre compared to research articles and they describe data-centric research processes in a through way. This article also discusses how our results could inform a better data publication ecosystem in the future.

Source

Journal of the Association for Information Science and Technology. 71(2020) no.2, S.172-182

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Source

Journal of the Association for Information Science and Technology. 71(2020) no.3, S.314-324

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Source

Journal of the Association for Information Science and Technology. 72(2021) no.11, S.1386-1399

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Source

Journal of the Association for Information Science and Technology. 73(2022) no.6, S.834-846