Linking Research Outputs Through Citation Notification Services StOReLink.

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Presentation transcript:

Linking Research Outputs Through Citation Notification Services StOReLink

Journal Articles Past & Present: “The Literature”

Research ‘Literature’ of the Future? An aggregation of resources? – Background & Research material – Report, Blog, Journal Article – Data resources – Experiment resources – Process information – Project outputs (dissemination, theses, reports) – Works derived from this aggregation (or members of it) How do we collate and enable navigation around this new landscape? This involves tackling the ‘citation problem’

Backward Citations Traditional Citations – refer backwards between formal written publications If you try hard enough, you can trace back the prior influences on papers back to the 17 th Century. Usually does not include citation of data or ‘other’ research material.

Adding Forward Citations Include Forward Citations – refer forwards to derived datasets and formal written publications Include data into the network of citations.

Trackback

Familiar Applications

Using Trackback for Notification Trackback is a pure peer-to-peer approach – Does not rely on third party services. Trackbacks can be received without the source or target repository knowing of each other’s existence in advance Existing well-known and well-defined simple protocols for article cross- referencing used in the Blogging community. A number of Trackback specifications exist: Trackback is a simple “framework for peer-to-peer communication” supported by blogging tools such as MoveableType It has a relatively simple metadata transmission uses HTTP POST. Problems with Spamming are well-known and mitigation can be done.

Reverse Trackback The normal trackback sends metadata from the sender to the receiver. Can also send metadata from the receiver to the sender – reverse trackback. Embed metadata in the first requested page with Trackback URL. This metadata can be used to enhance or correct the citation data. Could mean that user data entry is at a minimum