Page 148 - Journal of Library Science in China, Vol.47, 2021

CAI Yingchun / Digital humanities evaluation: discipline, professionalism and technicality 147

as well as the collaboration and rationality of collaborators. Secondly, the attribution of intellectual
property rights and the indication of cooperation forms are also manifestations of academic norms.
In terms of the application of results, current digital humanities projects are more oriented towards
practical applications, so the evaluation of their results should adhere to the principles of diversity
and practicality [13] . At the same time, the access rights provided by the established database or
platform to specific groups or the general public, namely its openness, sociality, and dissemination,
are also important evaluation indicators. In addition, digital humanities research should also reflect
on its own data infrastructure, methods and procedures, as well as the limitations brought about,
[14]
or problems that can be corrected in the future . Of course, factors such as application prospects,
social benefits, and value creation of results are also essential indicators.

2.2 Professionalism: key element

Apart from the distinct interdisciplinary nature, digital humanities is also highly professional,
requiring a certain depth of professional knowledge. Not everyone can easily engage in digital
humanities work. The discipline of library, information and archives utilizes its professional
knowledge in information organization, retrieval, and analysis to provide methodological
guidance for digital humanities, and is also a bridge connecting disciplines and technologies.
The professional evaluation of digital humanities is mainly reflected in data compilation, data
management, digital experiments, platform construction, education and training, and other aspects.
(1) Data compilation. Data is the foundation and core of digital humanities, so data design
of digital humanities is a key element, that is, data compilation. Data compilation in digital
humanities includes metadata definition, data construction, establishment of data associations, and
standardization of humanistic data resource construction, all of which require a certain level of
professional knowledge. According to the research needs of digital humanities, multi-dimensional
disclosure of the breadth, depth, and granularity of resources is carried out, and accurate and
complete metadata is compiled to establish associations between data from different dimensions.
Finally, the construction of humanities data is completed according to certain standards. Therefore,
revealing the correlation between data through data compilation, presenting different research
perspectives through time and space dimensions, and presenting the correlation between data in
a three-dimensional, diverse, and multidimensional manner should be of greatest assistance for
digital technology in breaking through traditional humanities research.
(2) Data management. The process of digital humanities research generates a large amount of
process data, which, as a reflection of the research process, should be preserved and provided for
future researchers. How to store and manage process data involves some professional knowledge.
The construction of data storage space, the scientificity and systematicness of data management,
and the integrity and accessibility of data preservation are the main aspects of evaluation.
Currently, many academic journals require digital humanities research to provide raw data while