Crossref LIVE Brazil

1. Event Data

2. Article

3. Article
Blog

4. Article
Blog
Tweet

5. Article
Blog
Tweet
Wikipedia page

6. Article
Blog
Tweet
Wikipedia page
Dataset

7. Article
Blog
Tweet
Wikipedia page
Dataset

8. What does this have to
do with Event Data?

9. Article
Blog
Tweet
Wikipedia
Datasets

10. Event Data provides a unique record of the
web activity related to individual scholarly
content items.

12. Article
Dataset

13. Where does our data come from?

14. The Crossref Event Data Pipeline
Data
Contributors
Event Data
API

15. Event Data tracks interaction

16. Graph modelling
Data visualisations
Discoverability
Recommendation
Bibliometrics
Altmetrics
Linked data

17. Use the data to…
Funders can use Event Data to isolate and track the dissemination and usage of the
research they funded
Build a reading recommendation tool for researchers by using Event Data to analyse
co-citations in Wikipedia
Publishers can undertake metric-lead analysis to help drive business needs
Notify an organization that their research is trending
Researchers can analyze data from blogs and social media to help with preprint
discoverability and impact analysis
Publishing service providers can feed Event Data in their usage or altmetrics
dashboards or visualisations

18. Want to take a look at Beta?
Read the User Guide to learn more about how to use the Beta
service https://www.eventdata.crossref.org/guide/

19. Questions?