Transforming Access and Archiving for Endangered Language Data Through Exploratory Methodologies of Curation

通过探索性管理方法改变濒危语言数据的访问和归档

基本信息

批准号：
1653380
负责人：
Anthony Woodbury
金额：
$ 24.8万
依托单位：
University of Texas at Austin
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-01 至 2020-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1653380&HistoricalAwards=false
关键词：
Transforming Access Archiving Endangered Language

项目摘要

The digital revolution of the 21st Century has brought many advances in technology along with an accompanying increase in the number and size of digital records. This increase has outpaced the existing organizational and preservation practices used by archives, especially where it is the repositories and their staff who organize long-term preservation and access for deposited collections. In 2011 the National Science Foundation issued a mandate that every researcher who applies for these federal research funds must submit a Data Management Plan to explain exactly how the collected research data would be stored, secured, preserved, and accessed. A 2013 memorandum from the White House's Office of Science and Technology Policy specified that scientific research collected with federal funds must be made open and available for use by the public. These moves have overwhelmed the existing infrastructures for digital archives, especially those focusing on endangered languages. This project will investigate a potentially transformative methodology and set of best practices to solve this challenge that enables researchers in linguistics and language documentation to organize and curate their own data collections. If successful, results will be broadly useful to endangered language researchers as well as related disciplines like anthropology, sociology and the digital humanities. A transformation that facilitates the access and archiving of endangered language and other social science data would have a major positive impact on dissemination of data and further scholarship through re-use of the data. Exploring a solution that minimizes the financial impact while maximizing open access will offer a high value solution to a major challenge of the digital era.The Archive of the Indigenous Languages of Latin America (AILLA) is perfectly poised to carry out this project and confront the issue of the logjam of data. AILLA is the foremost example of a regional digital language archive whose holdings are both large and easily accessible. Founded in 2001 at the University of Texas at Austin, AILLA covers all of Latin America, home to several hundred endangered languages and the location of numerous language documentation projects, many funded by NSF and other federal agencies. With portals in both English and Spanish, AILLA holdings are accessible to a wider audience than those of English-portal-only archives. Project activities target a specific set of data collections, first to assess number and size of files and the level of organization for each individual deposit, and then to curate them. To gauge the extent of the data backlog facing the discipline on a wider scale, fellow member archives from the Digital Endangered Languages and Musics Archives Network (DELAMAN) will be surveyed regarding their workflows, repository organization, and types of backlogged collections. The information gleaned will be synthesized into a shared set of best practices, metadata, and methodologies, refined in consultation with DELAMAN archivists and disseminated through video tutorials on YouTube in both English and Spanish. The resulting training has the potential to enable digital archives staff to quickly and easily add new data collections to the digital repositories. Faster and easier ingestion of data into digital repositories will both streamline the ingestion processes at digital repositories as well as increase accessibility and discoverability of data to fulfill the open access mandate. Additionally, the project will co-convene a gathering of representatives DELAMAN archives in 2018 at the Institute on Collaborative Language Research (CoLang) to highlight newly developed methodologies and to facilitate connections between archivists and the researchers with unarchived data collections. Archivist and CoPI Susan Smythe Kung will also conduct a CoLang workshop to disseminate results and train researchers. Other deliverables include a presentation at the Linguistic Society of America, designed to reach a broad audience in the language sciences.

21世纪的数字革命带来了许多技术进步，并随附数字记录的数量和规模增加。这一增加超过了档案中现有的组织和保存实践，尤其是在存储库及其工作人员组织长期保存和访问存款收藏的情况下。 2011年，国家科学基金会发布了一项任务，每位申请这些联邦研究基金的研究人员都必须提交数据管理计划，以准确解释如何存储，确保，保存和访问收集的研究数据。白宫科学技术政策办公室的2013年备忘录指定，必须将用联邦资金收集的科学研究开放并供公众使用。这些动作不堪重负的数字档案基础架构，尤其是那些专注于濒危语言的基础架构。该项目将研究一种潜在的变革方法和一系列最佳实践，以解决这一挑战，使语言学和语言文档中的研究人员能够组织和策划自己的数据收集。如果成功，结果将对濒危语言研究人员以及人类学，社会学和数字人文科学等相关学科广泛有用。促进濒危语言和其他社会科学数据的访问和归档的转型将对数据传播和进一步的奖学金产生重大积极影响，并通过重新使用数据。探索一种最小化财务影响的解决方案，同时最大程度地提高开放式访问将为数字时代的重大挑战提供高价值的解决方案。数据登录的问题。 Ailla是区域数字语言档案馆的最重要例子，其持有既大又易于访问。 Ailla成立于2001年的德克萨斯大学奥斯汀分校，涵盖了拉丁美洲的所有地区，拥有数百种濒临灭绝的语言，以及许多语言文档项目的位置，其中许多由NSF和其他联邦机构资助。在英语和西班牙语的门户网站上，与仅英语档案的档案相比，更广泛的受众可以使用Ailla Holdings。项目活动针对一组特定的数据收集，首先要评估文件的数量和大小以及每个单独存款的组织水平，然后策划它们。为了衡量在更广泛的规模上面对该学科的数据积压的程度，将对数字濒危语言和音乐档案网络（Delaman）的成员档案进行档案，以进行有关其工作流程，存储库组织以及积压收藏的类型的调查。收集的信息将合成成一组共享的最佳实践，元数据和方法，并与Delaman档案管理员协商进行完善，并通过英语和西班牙语的YouTube上的视频教程进行了分发。由此产生的培训有可能使数字档案工作人员快速，轻松地为数字存储库添加新的数据收集。将数据摄入数字存储库的速度更快，更容易将简化数字存储库中的摄入过程，以及提高数据的可访问性和可发现性，以实现“开放访问”任务。此外，该项目将在2018年在协作语言研究研究所（COLANG）共同召集Delaman档案代表的聚会，以突出新开发的方法，并促进档案管理员与拥有数据收集的研究人员之间的联系。档案管理员和科迪·苏珊·史密斯（Copi Susan Smythe Kung）还将举办科兰研讨会，以传播结果并培训研究人员。其他可交付成果包括在美国语言学会上的演讲，旨在吸引语言科学的广泛受众。