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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
The Rise Of Open Scholarly Data & Possible Implications For Libraries, Aaron Tay
The Rise Of Open Scholarly Data & Possible Implications For Libraries, Aaron Tay
Research Collection Library
The idea of open access is familiar and in recent years there has been a lot of attention paid on the open access movement. Currently due to the rise of the new open scholarly metadata, a lot can be obtained using open data. For instance Title / author / abstract metadata is available in Crossref, references are freely available via many sources such as Crossref itself, Microsoft Academic, Pubmed and Altmetrics data is available via the Crossref Event data. What are the implications for libraries and what is the arc of scholarly communication towards open?
The Rise Of Open Scholarly Data And Possible Implications, Aaron Tay
The Rise Of Open Scholarly Data And Possible Implications, Aaron Tay
Research Collection Library
In this talk I cover the rise of open scholarly metadata thanks to efforts to create open infrastructure by non profits such as Crossref, Datacite, ROR as well as efforts from organizations such as JISC CORE, Opencitations, I4OC (Initative for open citations) to harvest and extract scholarly data. I talk about how libraries have benefited from all this data (most of which is available via APIs) and how Lens.org has brought most of this data together to create a compelling open service.
Managing Volume In Discovery Systems, Aaron Tay
Managing Volume In Discovery Systems, Aaron Tay
Research Collection Library
The well-established measures of recall and precision are becoming increasingly relevant in WSD systems. Given the way that most people search, which is the simple keyword box that searches all text anywhere in the record, WSD systems will lead to increasingly large recall as we provide access to more linked items. Do we need to be careful about the sheer volume of items to which we can provide access via WSD systems? Do we want these systems to become another Google, where precision of results is not always as accurate as we would like? Are we too obsessed with the …