摘要
在数字技术愈加助力人文科学研究的趋势下,借助数字化方式对民俗文化资源进行数据存储与开发,建设人文资源数据库以辅助学术研究,日趋成为学者着力探索的新方向与新课题。该文从国家文化发展战略、专业学科建设和民众文化需求三个层面梳理民俗文化资源数字化领域的理念背景和现实依据,从国内和国际两个维度总结和归纳大数据时代民俗文化资源数字化的相关学术史和问题线索,明晰民俗文化资源的数字化是通过文化与科技的碰撞与融合实现对民俗过程的数字化表达,进而指出民俗文化资源数字化下一步的发展路径:应着重处理好总体与样本、借鉴与定制、技术与理念等关系组。这项工作不仅有助于推动民俗学和相关学科的资料学与方法论建设,也对推进当前文化与科技融合课题相关成果的社会应用具有一定的启发意义。
In the trend that the digital technology is increasingly benefi paid more attention on the establishment of arts resources database and and analysis with the trend of the integration of technology and arts studi ting the datasets es. This arts research, scholars have so as to achieve data mining paper studies the theoretical background and reality evidence of the digitalization of folk cultural resources at three levels： the national cultural development strategy, the construction of professional discipline and the cultural demand of the general public. Also, the paper summarizes and concludes relevant history of academics and issues of the digitalization of folk cultural resources in the era of the big data from the national and international dimensions with the aim of ascertaining that the digitalization of folk cultural resources means digital expression of the process of the collision and negotiation of culture and technology. Furthermore, it is pointed out in the paper that the next step for the digitalization of folk cultural resources should focus on the relationships between totality and sample, borrowing and customizing, and technology and ideas. This work is beneficial to not only the construction of documentation and theory of folklore studies and relevant disciplines, but also the social application of the results of the collaboration between culture and technology.
出处
《民族艺术研究》
CSSCI
2016年第3期87-93,共7页
Ethnic Art Studies
基金
国家科技支撑计划"基于位置服务的文化旅游综合服务研究与应用示范"之子课题"文化与旅游信息资源融合的数据模型及典型地区数据库构建"(课题编号:2013BAH67F02)阶段性成果~~
关键词
大数据时代
民俗文化资源
民俗过程
数字化表达
数字人文
big data, folk cultural resources, folklore process, digital expression, digital hunmanities
作者简介
毕传龙，中国社会科学院民族文学研究所助理研究员、博士后。北京100732
