CAJ | 학술논문

数据密集型科研范式下的现代地学研究对地学数据共享提出了新的要求。在全面总结国内外地学数据共享发展现状的基础上，分析地学数据共享在机制、数据发现、共享质量、共享效率等方面存在的问题，提出保障数据贡献者权益和数据标识、出版与引用评价激励措施相结合的志愿数据共享机制，基于语义的智能数据发现、优化排序与关联推荐，优化数据描述和数据获取两个层面的数据共享质量提高措施，以及发展“数据-模型-计算”一体化共享的科研信息化环境等未来地学数据共享的发展对策。
수거밀집형과연범식하적현대지학연구대지학수거공향제출료신적요구。재전면총결국내외지학수거공향발전현상적기출상，분석지학수거공향재궤제、수거발현、공향질량、공향효솔등방면존재적문제，제출보장수거공헌자권익화수거표식、출판여인용평개격려조시상결합적지원수거공향궤제，기우어의적지능수거발현、우화배서여관련추천，우화수거묘술화수거획취량개층면적수거공향질량제고조시，이급발전“수거-모형-계산”일체화공향적과연신식화배경등미래지학수거공향적발전대책。
Under the data-intensive science research paradigm, it is more urgent for geo-data sharing for modern Geoscience research. Based on more than ten years geo-data sharing research and practice experiences, this paper systematically summarizes geo-data sharing development status at home and aboard at first. As followed, authors find and analyze four types of problems in geo-data sharing policy and mechanism, data discovering, data sharing service quality and sharing efficiency. Finally four related solutions and future trends of geo-data sharing are put forward in this paper:(1) volunteer data sharing mechanism, (2) semantic intelligent data search and alliance, (3) elaborate data description and credited data access measures, (4) data-model-computing integrated sharing environment.