무용 빅데이터의 생산과 활용에 관한 고찰: 국가 빅데이터 플랫폼을 중심으로
A Study on the Production and Utilization of Dance Big Data
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
The purpose of this study is to explore the current status and promotion of dance big data production and utilization. The seven national big data platforms currently open in Korea were targeted for the research. The research questions are as follows; how dance data is currently databased, what is needed to share and spread and what new values dance bigdata can create. Analysis of major platforms show that dance data is mainly dependent on structured data with about 28,779, and provided with metadata or in API format. The words in keywords or description of the data are very important key at data retrieval. It also serve as the basis for analysis of associations over time and space data. Regardless of both formats visualization tools play an essential role in data analysis and linkage. Dance data can be divided into three categories. The first is related to creative activities which is performance/dance group lists performance welfare facilities and support policy information, etc. The second is about preservation which is related to dance recordings, 3D data, information of the artworks, academic resources, etc. The third is enjoyment which is including rate of ticket sales, performance related news reports and online log information, etc. Big data platform is a central place where these data were linked. At the platform, dance data can merge with wide range of other data, such as education, science, transportation, communication, economic, finance, construction, energy, agricultural and fishery foods.
Abstract
The purpose of this study is to explore the current status and promotion of dance big data production and utilization. The seven national big data platforms currently open in Korea were targeted for the research. The research questions are as follows; how dance data is currently databased, what is needed to share and spread and what new values dance bigdata can create. Analysis of major platforms show that dance data is mainly dependent on structured data with about 28,779, and provided with metadata or in API format. The words in keywords or description of the data are very important key at data retrieval. It also serve as the basis for analysis of associations over time and space data. Regardless of both formats visualization tools play an essential role in data analysis and linkage. Dance data can be divided into three categories. The first is related to creative activities which is performance/dance group lists performance welfare facilities and support policy information, etc. The second is about preservation which is related to dance recordings, 3D data, information of the artworks, academic resources, etc. The third is enjoyment which is including rate of ticket sales, performance related news reports and online log information, etc. Big data platform is a central place where these data were linked. At the platform, dance data can merge with wide range of other data, such as education, science, transportation, communication, economic, finance, construction, energy, agricultural and fishery foods.
참고문헌 (37)
- 공정원, "빅데이터를 활용한 치매와 무용에 관한 언론보도 분석", 한국무용과학회지, 38(1), pp.15~26 (2021), 한국무용과학회[DOI]
- 관계부처합동, "국가 데이터 정책 추진방향, 4차산업혁명위원회 회의자료", 관계부처합동(2021. 02.27)., ~ (2021)
- 김다예, "국립무용단의 무용작품 주제 분석: 빅데이터 분석", 한국사회체육학회지, (83), pp.171~183 (2021), 한국사회체육학회[DOI]
- 김수연, "빅데이터", KISTEP 기술동향브리프, 2018(11) (2018), 한국과학기술기획평가원
- 김우경, "텍스트 마이닝을 활용한 한국무용 연구주제 동향 분석", 한국엔터테인먼트산업학회논문지, 13(5), pp.215~228 (2019), 한국엔터테인먼트산업학회[DOI]
- 김하연, "빅데이터 분석을 통한 국내 현대무용 관련 연구 및 뉴스보도 경향 비교분석 - 트렌드 변화 중심으로", 한국무용과학회지, 37(3), pp.49~65 (2020), 한국무용과학회[DOI]
- 김하연, "텍스트 마이닝을 활용한 국외 현대무용 연구 트렌드 변화 분석", 예술교육연구, 18(1), pp.171~192 (2020), 한국예술교육학회
- 손재현, "빅데이터를 활용한 무용의 인식변화", 한국무용연구, 35(4), pp.205~227 (2017), 한국무용연구학회[DOI]
- 유지영, "한국 전통무용에 대한 대중들의 관심분야 의미연결망 분석- 2003∼2017 네이버 지식iN 질문 빅데이터를 중심으로-", 한국무용연구, 36(1), pp.53~73 (2018), 한국무용연구학회[DOI]
- 이영호, "오픈데이토피아" (2017), 북오션
- 이정민, "텍스트 마이닝을 기반으로 한 무용학 자료의 빅데이터 분석", 무용역사기록학, 42, pp.191~212 (2016), 무용역사기록학회
- 이용건, "빅데이터를 활용한 무용공연관람 인식에 관한 연구", 한국스포츠학회, 18(2), pp.365~374 (2020), 한국스포츠학회[DOI]
- 임지형, "소셜네트워크 빅데이터를 활용한 코로나 19의 무용공연, 무용관람, 무용환경 분석", 대한무용학회 논문집, 78(4), pp.181~197 (2020), 대한무용학회
- 품목별보고서-빅데이터, "정보통신산업진흥원", 정보통신산업진흥원, ~ (2019)
- 빅데이터 플랫폼의 운영 실태와 개선과제, "정준화", 국회입법조사처, ~, pp.입법정책보고서 제55호 (2020)
- 최유리, "빅데이터를 활용한 최승희 연구의 의미 재탐색", 한국무용학회지, 20(3), pp.11~24 (2020), 한국무용학회[DOI]
- 최효진, "텍스트 마이닝을 활용한 국내 현대무용 연구 동향 분석", 예술교육연구, 17(4), pp.103~118 (2019), 한국예술교육학회
- 문화예술 빅데이터 활용방안 연구, "한국문화예술위원회", 한국문화예술위원회, ~ (2020)
- 2019 문화정보화백서, "한국문화정보원", 문화체육관광부, ~ (2020)
- 한상기, "디지털 집현전과 검색기술의 미래", 문화정보 이슈리포트, (20) (2020), 한국문화정보원
- 황동열, "무용연구의 빅데이터를 활용한 사회연결망분석", 한국체육학회지, 55(1), pp.611~621 (2016), 한국체육학회
- 황승구, "빅데이터 플랫폼 전략" (2013), 전자신문사
- "디지털뉴딜 로드맵" (2021), 과학기술정보통신부[URL]
- "Korea Data 119 Project; National Data Policies Direction Jointly Prepared by the Private Sector" (2021), 차산업혁명위원회[URL]
- "데이터 3법, 대한민국 정책브리핑" (2021), 청와대[URL]
- "ICT 시사상식 2021" (2021), 한국정보통신기술협회[URL]
- "공공데이터포털"[URL]
- "데이터스토어"[URL]
- "뉴노멀, 오픈소스"[URL]
- "문화데이터광장"[URL]
- "문화빅데이터플랫폼"[URL]
- "문화포털"[URL]
- "Art&Tech플랫폼"[URL]
- "AI허브"[URL]
- "K-판"[URL]
- "통합데이터지도"[URL]
- "데이터 댐"[URL]