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Make Data Count: Measuring Data Use and Reach

Date of Webinar: 
Tuesday, April 14, 2015
9 am Pacific / 10 am Mountain / 11am Central / 12 noon Eastern

Webinar Abstract

California Digital Libraries, PLOS, and DataONE are partners in Make Data Count (http://articlemetrics.github.io/MDC/), an NSF-funded project to design and develop metrics that track and measure data use, i.e. “data-level metrics” (DLMs). DLMs are a multi-dimensional suite of indicators, measuring the broad range of activity surrounding the reach and use of data as a research output.

In the webinar, we will discuss the findings from Phase 1 in which we gathered information about the needs of researchers– how do they want to get credit for the data they produce? What do they want to know about how their data is used? What do they want to know about others’ data to evaluate quality? We connected with the community to determine requirements and understand use cases for the data-level metrics prototype. We will also demo the latest from our working prototype and share the initial results (usage, citations, scholarly references and mentions, social media, etc.) collected on datasets from DataONE member repositories.

Webinar recordings and Q&A forums will be posted on the Previous Webinars page within two hours following the webinar.

DWSJennifer Lin, PhD is Senior Product Manager at PLOS. She is the primary lead of the Article-Level Metrics initiative and the publisher’s data program. She earned her PhD at Johns Hopkins University. She has 15 years of experience in community outreach, change management, product development, and project management in scholarly communications, education, and the public sector.
DWSMatthew Jones is the Director of Informatics Research at the National Center for Ecological Analysis and Synthesis, and co-PI on DataONE. His research focuses on environmental informatics, and particularly software for management, integration, analysis, and modeling of heterogeneous environmental data. Products have included metadata standards like Ecological Metadata Language, data systems like the KNB Data Repository and DataONE, and scientific workflow systems such as Kepler for tracking the structure and provenance of analysis.
DWSMartin Fenner is the technical lead for the PLOS Article Level Metrics (ALM) project.
DWSJohn Kratz is a CLIR/DLF Postdoctoral Fellow in Data Curation for the Sciences and Social Sciences at the California Digital Library. There, he investigates and advises the library on issues surrounding research data publication. He has contributed research to projects such as Dash and Making Data Count. Prior to joining the CDL, he earned a Ph.D. in biological sciences from Columbia University for work on the genetics and neurobiology that underlie the sense of touch.
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