7 November : Join RDA Webinar : Automatically generating citation text from queries
The RDA Working Group on Data Citation (RDA WGDC) organizes the next Webinar on implementations of its Recommendation 10 (R10) : "Automated Citation Texts: Generation of the citation text snippet from queries, for lowering the barrier for citing the data".
Data / Time: Tue., 7. November 2017, 17:00 CET
Presenter: Gianmaria Silvello, University of Padova
R10 - Automated Citation Text Generation Recommendation: Generate citation texts : : WHY ?
Researchers publish their findings usually in journals and conference proceedings. Depending on the designated community, several citation styles and principles exist. Many disciplines either utilise a specified citation format or they write their papers with LATEX and include the references to the related work with the BibTeX citation system. To lower the barrier for researchers, the query store should produce such citation snippets, which can be easily integrated into publications with a copy and paste approach. The query store contains metadata about a data set. In addition, the query store may also contain further metadata fields, such as a title for the data set and a specific subtitle for the subset ... Read more in Identification of Reproducible Subsets for Data Citation, Sharing and Re-Use. 3.3.7 R10 - Automated Citation Text Generation.
Automatically generating citation texts (in the format prevalent in the designated community) from queries include the Persisten Identifiers (PID) into the citation text snippet. Citation generation for
- XML (rule-based and machine-learning based), for
- RDF (view-based) and for
- RDBMS (view-based),
with demonstrations from real applications for each:
- EAD/Archives+Pharmacological data for XML,
- Eagle-i (bioresources) for RDF and
- IUPHAR (pharmacological data) for RDBMS
RDA WGDC is looking forward to talking to many of you during the upcoming webinar.
Source: Research Data Allience (RDA)
Related on AIMS: Building a Culture of Data Citation ... with Persistent Identifiers