This s tudy a ims to p ropose items a nd t echnical el ements f or t he e stabl ishment of a danceauthority record. To achieve this goal, the study examines the international standard ISAAR(CPF) for managing records and the types and technical elements of archival records at the National Archives. It also investigates the types and technical elements of the National Theater's digital archive and the Art Archive Seoul Museum of Art the characteristics of the field of arts. Subsequently, utilizing dance authority' records, the study extracts items and archival data targets, proposes items and technical elements for dance archival records. The proposed items in the research results include 'dancer, dance company, work title, location,' and the technical elements are based on the National Archives' areas of 'identification area, technology area, relationship area, control area' to apply detailed elements according to the items for public use.

The aim of this study is to examine how climacteric women's Soma has changed in response to somatic movement training. The study was conducted for a total of 10 months from March to December 2021, and participants were four climacteric women aged 50-56 registered in a fitness club. After conducting twelve somatic movement training sessions, in-body measurement, Kupperman index, and Telomere Assessmant were performed. The study first found that all four participants' menopausal symptoms (such as fatigue, insomnia, arthralgia, and depression) improved. In the telomere trajectory analysis, participants' physical activity duration increased, their quality of sleep improved, and their level of social support increased. The study participants reported, through somatic data, that the somatic movement training improved their body's awareness and control, encouraged emotional healing, and strengthened their social connections. Both expressive and functional movements were improved by somatic movement training.

The purpose of this study is to develop interdisciplinary research between dance studies and big data analysis. To this end, the text mining technique, which extracts meaningful information from text, was adopted as the research methodology. In the process of text mining, original PDF texts on the themes of Chum/Muyong(dance), morphological analysis, user dictionary construction, and social network analysis were collected to extract significant named entities and clarify the relations between them. The outcomes of the process, which comprised the extracted text data (total 10,231 copies), a named entity classification table, and a network of named entities, were loaded into the big data analysis system under development. The findings of the study are as follows: First, there were 25 total morpheme types, with 24,691 words with a frequency of more than 100. From these, a second morphemic analysis of sentences containing words such as “Chum” (춤), “Mu” (무), and “dance” (댄스) was conducted. It was revealed that in parts of speech with a frequency of 10 or more, there were 3,057 nouns, 602 proper nouns, 352 verbs, 205 numbers, 135 adjectives, and 35 adverbs. Second, a user dictionary was developed in the form of a taxonomy with stratification between hyperonym and hyponyms. The dictionary contained 2,404 words, which were classified by theme, person, dance piece, genre, theory, function, element, and period. Third, social network analysis revealed that the terms “Muyong,” “Chum,” and “arts and culture” were closely interconnected at the heart of the network. In contrast, dance deviated somewhat from the center. “Dance” was the only word to be connected with the network of dance sports and jazz. This study is significant because it represents the first attempt to apply text mining to written records on dance. In addition, it could suggest ways to expand the use of big data analysis to dance studies. Based on the study, a big data analysis system that is specialized in dance was developed, and the contents will be updated continuously.