Developing collaborative best practices for digital humanities data collection: A case study

Cresce, Rachel Di; King, James D.

doi:10.1080/10691316.2017.1326330

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…This last indicator is consistent with findings reported in the literature relating to what is/is not considered data by researchers affecting their engagement with RDM practices (Di Cresce and King, 2017;Kurata et al, 2017;Thoegersen, 2018;Voß and Hamrin, 2018).…”

Section: Contextsupporting

confidence: 89%

An initial evaluation of research data management online training at the University of New South Wales

Chew

Wong

et al. 2021

IFLA Journal

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In response to low research data management engagement at the University of New South Wales, Australia, an introductory research data management online training was developed and rolled out to all newly enrolled Higher Degree Research candidates. This article outlines the development process of the research data management online training and provides an initial evaluation of the training from the perspectives of the candidates and the university. As such, this article joins up with existing literature on research data management training to assist institutions and research data management stakeholders with the development of research data management training to help researchers and research students enact research data management best practices. Overall, the majority of the candidates ( n = 643) were satisfied with the quality of the training and found it helpful. The benefits the training brought to the university are mapped out by linking institutional research data management problems, the research data management online training’s design and findings into a coherent narrative.

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Section: Contextsupporting

confidence: 89%

An initial evaluation of research data management online training at the University of New South Wales

Chew

Wong

et al. 2021

IFLA Journal

View full text Add to dashboard Cite

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“…Bradley, meanwhile, focuses on the marriage of visualization to digital humanities and potential topics of interest therein (2018). Despite the exploratory nature of DH studies, there are a few specific topics of interest among researchers:status, (lack of) coverage and development of higher education in DH (Risam et al , 2017; Gaffield, 2018; Poole, 2017);collaborative human studies of culture, theatre, art, race and gender studies in DH (Rodriguez Ortega, 2018; Gaffield, 2018);debate on the prevalence of text analysis and incorporation of other nontraditional media in DH research (Poole, 2017; Champion, 2016; Mahony, 2018);development of proper standardized methodology and best practices in the DH field (Poole, 2017; Di Cresce and King, 2017; Frosini et al , 2018). …”

Section: Literature Reviewmentioning

confidence: 99%

“…development of proper standardized methodology and best practices in the DH field (Poole, 2017; Di Cresce and King, 2017; Frosini et al , 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Cross-national digital humanities research collaborations: structure, patterns and themes

2020

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PurposeThe purpose of this paper is to examine the structure, patterns and themes of cross-national collaborations in Digital Humanities research through the application of social network analysis and visualization tools.Design/methodology/approachThe sample includes articles containing Digital Humanities research in the Web of Science Core Collection as of December 2018. First, co-occurrence data representing collaborations among nations were extracted from author affiliations. Second, the descriptive statistics, network indicators and international communities were calculated. Third, the research topics of different cross-national collaboration communities based on ISI keywords, author keywords, title and abstracts were detected.FindingsThe results show that the scope of international collaborations in Digital Humanities research is broad, but the distribution among nations is unbalanced. The USA, Germany and England were identified as the major contributors. Five research communities are identified, led by the USA, Germany, England, Belgium and France. The communities share common research topics such as history, GIS, text mining, visualization, while each has its own research emphasis.Originality/valueThis study applied various informetric methods and tools to reveal the collaboration structure, patterns and themes among nations in Digital Humanities research.

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“…(4) Development of proper standardized methodology and best practices in the DH field (Poole, 2017;Di Cresce and King, 2017;Frosini et al, 2018).…”

Section: Literature Review 21 Digital Humanities Research and Development Overviewmentioning

confidence: 99%

Digital humanities research: interdisciplinary collaborations, themes and implications to library and information science

Zhang

Immel

2020

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PurposeThe purpose of this paper is to examine the structure, patterns and themes of interdisciplinary collaborations in the digital humanities (DH) research through the application of social network analysis and visualization tools.Design/methodology/approachThe sample includes articles containing DH research in the Web of Science Core Collection as of December 2018. First, co-occurrence data representing collaborations among disciplinary were extracted from the subject category. Second, the descriptive statistics, network indicators and interdisciplinary communities were calculated. Third, the research topics of different interdisciplinary collaboration communities based on system keywords, author keywords, title and abstracts were detected.FindingsThe findings reveal that while the scope of disciplines involved in DH research is broad and evolving over time, most interdisciplinary collaborations are concentrated among several disciplines, including computer science, library and information science, linguistics and literature. The study further uncovers some communities based on closely collaborating disciplines and the evolving nature of such interdisciplinary collaboration communities over time. To better understand the close collaboration ties, the study traces and analyzes the research topics and themes of the interdisciplinary communities. Finally, the implications of the findings for DH research are discussed.Originality/valueThis study applied various informetric methods and tools to reveal the collaboration structure, patterns and themes among disciplinaries in DH research.

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Developing collaborative best practices for digital humanities data collection: A case study

Cited by 5 publications

References 12 publications

An initial evaluation of research data management online training at the University of New South Wales

An initial evaluation of research data management online training at the University of New South Wales

Cross-national digital humanities research collaborations: structure, patterns and themes

Digital humanities research: interdisciplinary collaborations, themes and implications to library and information science

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