Collecting Diachronic Affiliation Datafor Faculty at HBCUs Using Memento
Collecting Diachronic Affiliation Datafor Faculty at HBCUs Using Memento
复制标题
使用 Memento 收集 HBCU 教师的历时隶属关系数据
DOI：
10.1002/pra2.664
复制
发表时间：
2022
影响因子：
--
通讯作者：
Yan, Erjia
中科院分区：
文献类型：
--
作者：
Zarrillo, Deanna;Kelly, Mat;Jackson, Christopher;Yan, Erjia
学术流动性加速，部分原因是最近的民权运动和更高水平的社会流动性。这一趋势增加了传统黑人学院和大学（HBCUs）人才外流的威胁，尽管在黑人专业人员的进步方面取得了广泛的成功，但这些学院和大学已经面临着重大的后勤挑战。我们的目标是从科学的角度来研究这种威胁，通过收集历时性的数据，对HBCU教师的学术流动性进行大规模的纵向分析。我们的研究使用Memento，手动收集和网络抓取来聚合来自35个HBCU的多个网络档案中的网页的历史标识符（URI-M）。因此，我们能够扩展“规范化”的使用，将位于不同URI的网页的过去版本与其当前URI相关联，以便随着时间的推移更准确地查看页面。在本文中，我们定义和执行一种新的数据收集方法，这是必不可少的HBCU人力资本的变化，我们的检查，并支持走向更公平的学术劳动力的运动。
Academic mobility has accelerated in part due to recent civil rights movements and higher levels of social mobility. This trend increases the threat of brain drain from Historically Black Colleges and Universities (HBCUs), which already face significant logistical challenges despite broad success in the advancement of Black professionals. We aim to examine this threat from a Science of Science perspective by collecting diachronic data for a large‐scale longitudinal analysis of HBCU faculty’s academic mobility. Our study uses Memento, manual collection, and web scraping to aggregate historical identifiers (URI‐Ms) of webpages from 35 HBCUs across multiple web archives. We are thus able to extend the use of “canonicalization” to associate past versions of webpages that resided at different URIs with their current URI allowing for a more accurate view of the pages over time. In this paper we define and execute a novel data collection method which is essential for our examination of HBCU human capital changes and supports a movement towards a more equitable academic workforce.