American historians and European archival theory: the collaboration of J.F. Jameson and Waldo G. Leland

J. Franklin Jameson and Waldo G. Leland remain forever linked in American archival history as the founders, respectively, of the National Archives and the American archival profession. From the immediate post-Revolutionary period until the eve of the First World War, American historians recognized that their nation's early history remained locked in European archives. However, not until the pioneering efforts of Leland, working under supervision of Jameson during the early 20th century, did any of these historical researchers bring to the United States, along with the voluminous copies of archival documents, the emerging tenets of European archival theory. This is the story of the collaboration between Jameson and Leland, and of Leland's efforts to professionalize American archival practice on the basis of European archival theory.     

Utilizing Systems Development Methods in Archival Systems Research: Building a Metadata Schema Registry

This paper discusses the use of systems development research methods in the context of ongoing research that is formulating a specification for a metadata schema registry. The paper extrapolates from this discussion how such methods can be utilized in archival systems research and how such an approach differs from commercial systems engineering. In particular, the paper suggests that adopting a user-centred prototyping approach in a research context allows for exploration of the interplay between theory and practice, advancing the practice, while also offering new insights into theoretical concepts. It argues that these research methods are of increasing interest to the archival profession in order to conceptualise and realise the tools necessary to support recordkeeping and archival processes in digital environments.     

Analysis of Academic Libraries' Facebook Posts: Text and Data Analytics

This research analyzed a dataset of academic libraries' posts on Facebook. It applied a text and data analytics approach to a dataset collected from the Facebook posts of academic libraries at the top 100 English-speaking universities, as listed by the 2014 Shanghai World University Rankings. The dataset is from a two-year posting history of 18,333 unique posts, 113,621 likes, and 3401 comments. Less than a quarter of the libraries had more than 2000 post-related likes, and only seven received more than 100 comments on their postings. Content analysis identified the most prevalent single word (unigrams), bigrams (two-word sequences), and trigrams (three-word sequences) in high and low engagement content. Semantic analysis identified the semantic categories for posts with high and low engagement. The findings can assist academic libraries in their social media strategies for engagement, marketing, and visibility.