Data commentary is an important text type in research articles; however, its discourse model is often challenging to access because it is embedded in the upper genres such as textbook, weather forecast, and journal article. This study aims to establish a discourse model of data commentary, with a focus on academic research papers in Economics and Business administration journals. To accomplish this, this study employs Move analysis and SF-MDA(Systemic Functional-Multimodal Discourse Analysis) to investigate the moves of data commentaries and the metafunctional meanings of each step. The results indicate that the data commentary discourse model consists of three moves: (1) summarizing the topic and methodology, (2) representing figure and numbers, and (3) analyzing and commenting on results. Additionally, 22 steps are identified for each move that creates metafunctional meaning: ideational, interpersonal, and textual.

Abstract
1. 서론
2. 선행 연구
    2.1. 데이터 설명문 분석에서 이동 마디의 한계
    2.2. 체계기능적 다중양식 담화 분석의 적용
3. 텍스트 분석 방법과 모형
    3.1. 분석 대상 자료
    3.2. 텍스트 분석 방법과 모형 구축
4. 경제학 및 경영학 학술지의 데이터 설명문 모형 해석
    4.1. 주제 및 방향 요약에서의 특징
    4.2. 수치/결과 나열에서의 특징
    4.3. 해석 및 결론에서의 특징
5. 결론
참고문헌
부록

• 이지연(Department of Korean education, Seoul National University) | Lee, Jeeyeoun