News & Events

Metadata Mixer: Love Data Week

Celebrating LOVE Data Week….

Time: Tuesday, February 13th, 4-5pm
Location: Rush 006 (basement)

Speaker: Jay Bhatt
Title: Research and Data management using Figshare

Abstract: This presentation explored how an online repository can significantly help in addressing Research and Data Management needs of institutions. To be able to successfully accomplish this not only understanding research and data information needs of our researchers is important but also crucial is developing awareness of new repositories. Keeping current about their existence, scope, features and knowledge of how they can help researchers, are a must in today’s environment. One such repository is figshare “where users can make all of their research outputs available in a citable, shareable and discoverable manner”. In this presentation, important features of figshare were explored, and highlighted. It is a cloud based repository that permits academic institutions to store, manage, and publicly share their research outputs with other researchers globally. This can include include large amounts of research data, posters, figures, videos, and papers. Therefore, figshare can work as both data management and dissemination tool. Some examples of how it is currently used by some universities, societies and publishers were also shared during this session. Conversations during this talk resulted in insightful interactions and discussions among scholars, researchers and libraries to envision future directions for Drexel.

Jay Bhatt speaking about Figshare.

Speakers: Sam Grabus & Jane Greenberg
Title: Challenges and opportunities sharing sensitive data: Metadata solutions and licensing considerations focusing on the NSF Spoke Project, A Licensing Model and Ecosystem for Data Sharing.

Abstract: Sam discussed her current progress surveying the landscape of rights management and licensing initiatives for facilitating the data sharing progress. Initiatives are organized into 6 overlapping categories: Rights Management, Licensing Standardization, Metadata and Ontologies, Community-Driven Efforts, Technological Infrastructure and tools, and Informational Resources.

Jane and Sam discussed the NSF spoke project, A Licensing Model and Ecosystem for Data Sharing, which seeks to facilitate the data sharing process for sensitive and private data between industry, academia, and government. The project has three interconnected components: a licensing framework/generator, a data sharing platform, called ShareDB, to enforce aspects of the licenses, and robust metadata for the datasets as well as the developed licenses, to communicate data handling and rights specifications in a machine-readable way. Sam provided a brief demonstration of current progress on the ShareDB platform, which is designed to facilitate the sensitive and private data sharing process through the automation of anonymization and de-identification techniques within a secure data sharing infrastructure. Questions and discussion of the platform followed the presentation.

Sam Grabus presenting about rights management and data licensing initiatives for facilitating the process of sharing sensitive and private data types.