Student Travel Support for 2017 Web Archiving Data Workshops

2017 年网络存档数据研讨会的学生旅行支持

• 批准号: 1723430
• 负责人: Matthew Weber
• 金额: $ 2.41万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-15 至 2018-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1723430&HistoricalAwards=false
• 关键词: Student; Travel; Support; 2017; Web

Funding will provide graduate student support for two workshops Web Archiving Data Workshops in 2017. The workshops focus on analyzing archived Web data. Such data sources provide unique opportunities to examine social science phenomena that have evolved over time, such as how news media is presented on the Web or how individuals interact in online discussions. On the other hand, such data are often difficult to access and challenging to analyze due to the fact that the data were often captured using sporadic or random approaches, due to data formats that are opaque and not always standardized, and due to the large size of the data (mid-sized collections can be on the terabyte scale). The workshops will educate graduate students with regards to combinations of code and research questions that can be used to design appropriate research studies and to then access and analyze this type of data. The focus of the workshops is interdisciplinary, bringing together research interests from disciplines as diverse as computer science, social science and the humanities Participants will work hands-on with data, will learn new programming skills, and will develop pilot projects for new research that they will be able to continue at their home institutions. For example, workshop participants will learn about the Warcbase software package (based on Spark and Scala), and will also have the opportunity to analyze data using in-browser Python notebooks. The first workshop will take place in February 2017 at the Internet Archive in San Francisco, CA, and the second workshop will take place in June 2017 at the British Library in London, UK. The first workshop will focus on the use of application programming interfaces for interoperability between collections and institutions. The second workshop will focus on establishing international collaborations between North American and European researchers, and will include a discussion of how to utilize archived Web data with other types of data such as socioeconomic variables. Data used and projects developed during the workshops will be published to the workshop website, and will also be made available via a GitHub repository. A final report will be produced summarizing the results of the workshop, and reviewing current state of the art research pertaining to archived Web data. This will be a significant contribution to the field as it is beginning to coalesce.

资金将为2017年的两个研讨会提供研究生支持。讲习班的重点是分析存档的网络数据。这些数据源提供了独特的机会来研究随着时间的推移而演变的社会科学现象，例如新闻媒体如何在网络上呈现或个人如何在在线讨论中互动。另一方面，由于数据通常是使用零星或随机方法捕获的，由于数据格式不透明且不总是标准化的，以及由于数据的大小（中等大小的集合可以是TB级），这些数据通常难以访问并具有挑战性。研讨会将教育研究生关于代码和研究问题的组合，可用于设计适当的研究，然后访问和分析这种类型的数据。研讨会的重点是跨学科，汇集了来自计算机科学，社会科学和人文学科等不同学科的研究兴趣参与者将亲自处理数据，将学习新的编程技能，并将开发新研究的试点项目，他们将能够继续在自己的家乡机构。例如，研讨会参与者将学习Warcbase软件包（基于Spark和Scala），并有机会使用浏览器中的Python笔记本分析数据。第一次研讨会将于2017年2月在加利福尼亚州旧金山弗朗西斯科的互联网档案馆举行，第二次研讨会将于2017年6月在英国伦敦的大英图书馆举行。第一个研讨会将侧重于使用应用程序编程接口，以实现馆藏和机构之间的互操作性。第二个讲习班将侧重于建立北美和欧洲研究人员之间的国际合作，并将讨论如何利用存档的网络数据与其他类型的数据，如社会经济变量。 研讨会期间使用的数据和开发的项目将发布在研讨会网站上，并通过GitHub存储库提供。将编写一份最后报告，总结讲习班的成果，并审查与存档网络数据有关的最新研究状况。这将是对该领域的重大贡献，因为它正在开始合并。