On December 4th, 2020, doctoral candidate Jeremy Leipzig and Dr. Jane Greenberg were awarded the “Best Research Paper Award” at the 14th International Conference on Metadata and Semantics Research (MTSR 2020). The paper, titled “Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species,” was co-authored by J. Leipzig, Y. Bakis, X. Wang, M. Elhamod, K. Diamond, M. Maga, W. Dahdul, A. Karpatne, P. Mabee, H. L. Bart Jr. and J. Greenberg.
Research supported by NSF OAC Office of Advanced Cyberinfrastructure (OAC) #1940233and #1940322.
Metadata Research Center, Drexel University, doctoral students (Xintong Zhao, Deborah Garwood, and Jeremy Leipzig), will each present original research at MTSR 2020–14th International Conference on Metadata and Semantics Research on December 3rd in a session starting at 10:15 AM EST (17:15 EET-Eastern European Time). This year, MTSR is virtual, and REGISTRATION IS FREE FOR ALL.
Metadata Research Center affiliated papers being presented include:
Xintong Zhao will present: HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science (J. Greenberg, X. Zhao, J. Adair, J. Boone and X. Hu)
Deborah Garwood will present: FAIRising Pedagogical Documentation for the Research Lifecycle (D. Garwood and A. Poole)
Jeremy Leipzig will present: Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species (J. Leipzig, Y. Bakis, X. Wang, M. Elhamod, K. Diamond, M. Maga, W. Dahdul, A. Karpatne, P. Mabee, H. L. Bart Jr. and J. Greenberg
On December 3rd, the Metadata Research Center will host an Alice B. Kroeger Distinguished Lecture, featuring James Briggs Murray, Founding Curator (1972-2009) of the Moving Image and Recorded Sound Division, Schomburg Research Center, at the New York Public Library.
Presenter: James Briggs Murray, Founding Curator (1972-2009), Moving Image and Recorded Sound Division, Schomburg Research Center, The New York Public Library Title: Understanding and Developing Black Popular Music Collections Date: Thursday, December 3rd Time: 4:30-6:00pm EDT Location: Zoom Registration Link Participants must register in order to attend.
Abstract: The retired Founding Curator of the Moving Image and Recorded Sound Division of The New York Public Library’s Schomburg Center for Research in Black Culture uses recorded audio clips to illustrate his three and a half-decade mission to create a comprehensive recorded music collection in a research library setting. The journey begins in West Africa and moves through such globally impactful genres as work songs, blues, spirituals, jazz (in its many iterations), gospel, rhythm & blues, rock & roll, rock, funk, disco, and rap.
James’ presentation harkens back to his 1983 Drexel Library Quarterly article on black music collections.
Citation: Murray, J. B. (1983). Understanding and Developing Black Popular Music Collections. Drexel library quarterly, 19(1), 4-54. *Also available in ERIC: ERIC Number EJ300012
Bio: Among the highlights of his career as a Curator, first and foremost, Mr. Murray, in the mid-1970s, conceived and founded the Moving Image and Recorded Sound Division of NYPL’s Schomburg Center for Research in Black Culture, the world’s largest and most comprehensive research library devoted to the preservation of the history and culture of peoples of African descent worldwide.
CCI Professor Il-Yeol Song has received the DKE Best Paper Award for his 2017 paper, “Big data technologies and management: What conceptual modeling can do.”
The Elsevier journal best paper announcement is available here.
Xintong Zhao, CCI/Drexel University, doctoral student and MRC Research Assistant
Zhao’s presentation, “Scholarly Big Data: Computational Approaches to Semantic Labeling in Materials Science,” is from research she is conducting in collaboration with team members: the NSF supported Harnessing the Data Revolution (HDR) initiative, Accelerating the Discovery of Electronic Materials through Human-Computer Active Search. Zhao’s research examines computation and semantic labeling for scholarly big data in materials science. She reported on a baseline comparative analysis she led, comparing the ontology-based automatic indexing with the Helping Interdisciplinary Vocabulary Engineering (HIVE-4-MAT) application and the MATScholar system, which uses named entity recognition (NER), supported by an RNN (Recursive Neural Network). [presentation slides]
The
Emerging
Technologies, Big Data & Archives series and the Archival
Education and Research Initiative (AERI) will co-host a webinar on
computing the archives, led by Richard Marciano (AICollaboratory, University of
Maryland) and Jane Greenberg (Metadata Research Center, Drexel University). The
session will cover graduate student datathon participation, using the Legacy of
Slavery data from Maryland State Archives; and AI/machine learning applied to
the WWII FDR Presidential Library diaries. The session will also highlight the
connection to Drexel’s LEADS program.
Graduate
students include:
Rajesh Gnanasekaran (UMD)
Alexis Hill: (UMD)
Phillip Nicholas (UMD)
Lori Perine (UMD)
Sonia Pascua (Drexel, 2019 LEADS Fellow)
Hanlin Zhang (UNC, 2019 LEADS Fellow)
The
webinar is co-sponsored by CLIR, and co–hosted by Oklahoma State University
Emerging Technologies & Creativity Research Lab, and led by postdoctoral
fellows Rebecca Y. Bayeck, Schomburg Center for Research in Black Culture &
Azure Stewart, New York University, as part of “CLIR’s Emerging Technologies,
Big Data & Archives” series.
On Thursday, June 11th, the Metadata Research Center hosted a “Metadata Mixer: Quarantine Catch-Up.” Participants shared presentations about their research and work accomplishments over the Spring term, as well as goals for the summer. Available presentation slides can be viewed below.
Presenters:
Sam Grabus: Historical subject representation & the “Long S” [Slides]
Winner: Winner: 2020 Lita/Ex Libris Student Writing Award [ALA Press Release]
Vishal Deo/Prateek Goel: Exploratory Analysis on DataSar [Slides]
Information Science Doctoral Candidate Sam Grabus was awarded the 2020 LITA/Ex Libris Student Writing Award for her paper, “Evaluating the Impact of the Long S upon 18th-Century Encyclopedia Britannica Automatic Subject Metadata Generation Results.” The paper reports on a comparative study of subject metadata generated both before and after the correction of the historical Long S in the 3rd edition of the Encyclopedia Britannica. The HIVE tool was used to automatically generate the subject metadata. Descriptive statistics were applied, and visualizations produced from the results were also examined to identify trends related to encyclopedia entry length.
The paper will be published in the September issue of LITA’s Open Access peer-reviewed journal, Information Technology and Libraries. Read more in the American Library Association Press Release.
The Metadata Research Center will host its first Metadata Mixer of 2020 on Tuesday February 11th, in Celebration of Love Data Week.
Date: Tuesday, February 11th Time: 12-1pm Location: 3675 Market Street, Philadelphia, PA Room: 10th floor, room 1056 Presenters:Dr. Chaomei Chen, CCI Topic: CiteSpace: Research Metrics and Analytics Abstract: CiteSpace is a visual analytic and science mapping tool for visualizing various trends and patterns in the literature of scholarly publications across a wide range of research disciplines. CiteSpace is designed to produce interactive visualizations of various networks and facilitate systematic scientometric reviews. I will introduce the key concepts and theories behind CiteSpace with exemplars of studies enabled by CiteSpace and demonstrate the core workflows of working with CiteSpace.
On Friday, January 24th, the Metadata Research Center and Drexel CCI hosted the LEADS Forum, a full-day workshop to celebrate the research outputs from two years of LEADS data science fellows, and hear from advisory board members, mentors, early-to-mid-career professionals, and special guests from OCLC and the Library of Congress.
