Author: Sam Grabus

On Friday, May 19th, the 2023 LEADING Forum took place in the Science Center/Quorum at Drexel University. Highlights form the Forum included a panel on ChatGPT, a fellows panel, a fellow poster session, and keynote presentations from Florence Hudson (Executive director, Northeast Big Data Innovation Hub at Columbia University), and Laurie Allen (Chief, Digital Innovation Lab (LC Labs), Library of Congress). The 2023 OCLC/LEADING Data Challenge preceded the forum on Thursday, May 18th.

In moving forward, we welcome the incoming LEADING 2023 fellows. This year’s cohort includes 18 fellows from 14 iSchools and LIS institutions from across the country. June kicks off the 2023 LEADING boot camp, which precedes the 6-month fellowship period. Read more about the 2023 fellows here.

MRC’s Jane Greenberg and Richard Marciano, Advanced Information Collaboratory (AI Collaboratory) University of Maryland, presented at the 2022 DLF Forum on Wednesday, October 12th.

Their panel, titled “Innovating Data Science Education and Computational Thinking: Connecting iSchools and LAMs,” presented about two national Institute of Museum and Library Services (IMLS) initiatives connecting leading GLAMs (galleries, libraries, archives, and museums) and educators, and innovative data science education. Jane presented about the LEADING (The LIS Education and Data Science Integrated Network Group) fellowship project, and Richard presented about the TALENT (Training of Archival & Library Educators with iNnovative Technologies) Network.

The presentation slides are available here: [LINK].

Sharing news on MRC recent and forthcoming publication! 

• First, a congratulations to Sam Grabus and co-authors, Peter Logan and Jane Greenberg for “Temporal concept drift and alignment: An empirical approach to comparing knowledge organization systems over time,” forthcoming in Knowledge Organization (KO) [pre-print]. KO is the premier journal for knowledge organization research.
• Congratulations to Professor Yuan An along with Metadata Research Center and Institute for Data Driven Dynamical Design co-authors for their paper, “Building open knowledge graph for metal-organic frameworks (MOF-KG): Challenges and case studies,” presented August 15, 2022, at the International Workshop on Knowledge Graphs and Open Knowledge Network (OKN) in Washington, D.V, co-located with the 28th ACM SIGKDD Conference (KDD 2022).
• Congratulations to the MEtaData Format for Open Reef Data (MEDFORD)  team for their recent publication, “MEDFORD: A human- and machine-readable metadata markup language” in Database: The Journal of Biological Databases and Curation. MEDFORD is a  description language enabling flexibility for scientists to record all fo the details relevant to their research. It is human-readable, easily editable and templatable, and recently demonstrated.

For more information on MRC student and faculty outputs, see the publications page.

This summer the Metadata Research Center, College of Computing & Informatics, hosted two NSF Research Experiences for Undergraduates (REUs) as a partner in the Institute for Data Driven Dynamical Design (ID4). The ID4 REU interlinked with Drexel’s Smart Manufacturing REU (SMREU), which is focused on the application of computational methods and automation to support smart manufacturing and productivity and supply chains. ID4 connects to SMREU through the use of computational methods to accelerate the discovery of new materials.

This summer’s REU’s included David Venator, Materials Science and Engineering major from Northwestern University, and Elijah Kellner Materials Chemistry major from Winona State University. The REUs collaborated on two projects: Automated Identification of Metal-Organic Framework Synthesis Information and Exploring Faceted Ontologies for the Indexing of Materials Science Literature.

The REU’s were mentored by MRC doctoral students Xintong Zhao and Scott McClellan. On Thursday, August 11th, the REU’s presented their work at a poster session in the Bossone Research Center.

May 23-25 Metadata Research Center team members Scott McClellan, Xintong Zhao, and Jane Greenberg visited Colorado School of Mines for a NSF-supported Harnessing the Data Revolution Institute for Data Driven Dynamical Design (ID4) meeting. McClellan and Greenberg presented “Shared, Standardized Semantics: Accelerating Human and Computational Intelligence.”

McClellan also worked with Rachel Orenstein on poster, “Facilitating Laboratory Procedures with Semantics,” and Zhao along with Kyle Langlois, Jacob Furst, Jiaxing Qu, and Ferdaushi Bipasha developed a poster entitled “Materials Knowledge Extraction from Scientific Literature.”

The Metadata Research Center is a research partner in the ID4, focusing on knowledge extraction, with specific interests in ontology alignment, knowledge graph construction, as well as their applications for automatic indexing.

In celebration of Women’s History Month, the Metadata Research Center is honored to have metadata expert and Drexel graduate, Juliane Schneider, present the 2022 Alice B. Kroeger Distinguished Lecture.

Presenter: Juliane Schneider, Senior Bioinformatics Analyst/Data Liaison, Sage Bionetworks
Date: Thursday, March 31st
Time: 12:00 PM EDT
Location: Zoom Registration Link
Participants must register in order to attend.
Title: Metadata: Attitude and Practice Change

Read more about the upcoming talk and presenter below.

Continue reading “Alice B. Kroeger Distinguished Lecture Series: Juliane Schneider” →

Great participation at this year’s IEEE Big Data conference (IEEE Big Data), which ran virtually, December 15-18th, 2021.

On Wednesday, December 15, MRC members and collaborators affiliated with the NSF-HDR projects, Accelerating the Discovery of Electronic Materials through Human-Computer Active Search and the new Institute for Data-Driven Dynamical Design project presented two papers: “Fine-Tuning BERT Model for Materials Named Entity Recognition” by Xintong Zhao, Jane Greenberg, Yuan An, and Xiaohua Tony Hu, and “Knowledge Graph-Empowered Materials Discovery,” by X. Zhao, J. Greenberg, S. McClellan, Y. Hu, S. Lopez, S. Saikin, X. Hu, and Y. An.

On Friday December 17th,  Sam Grabus and Jane Greenberg participated in the IEEE Big Data 6^th Annual Computational Archival Science workshop, and presented their paper, “Computational Curation and the Application of Large-Scale Vocabularies,” stemming from work with the 19^th C. and historical vocabularies [Presentation Recording]. LEADING ‘21 Fellows Lencia Beltran and Emily Ping O’Brien, along with LEADING advisory board member, Richard Marciano, also presented on their paper, “A Framework for Unlocking and Linking WWII Japanese American Incarceration Biographical Data,” connected with the Densho collection.

Also, to note, Jennifer Proctor, a LEADING ’21 Fellow, presented a paper, titled “An AI-Assisted Framework for Rapid Conversion of Descriptive Photo Metadata into Linked Data.”

Six LEADING fellows presented at the Coalition for Networked Information (CNI) membership meeting on December 13th in Washington D.C. The following 2021 fellows presented their project lightening talks: Lencia Beltran, Hyunseung Koh, Emily Ping O’Brien, Jennifer Proctor, Jay Winkler, and Jonathan Young.

Xintong Zhao presented at ASIST 2021 with a paper and panel participation.

The paper, titled “Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning,” is coauthored with Stephen Lopez, Semion Saikin, Xiaohua Hu, and Jane Greenberg. The paper is available open access: LINK

The panel, titled “Documenting Information Processes and Practices: Paradata, Provenance Metadata, Life‐Cycles and Pipelines,” focused on documentation and description of processes and practices in the information field. The proceedings publication for the panel is available here.

Congratulations to Joel Pepper for winning Best Student Paper at the 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL 2021). The paper, titled “Automatic Metadata Generation for Fish Specimen Image Collections,” was co-authored with Jane Greenberg, Yasin Bakis, Xiaojun Wang, Henry Bart and David Breen.