19. Zamanı kullanın…
Fon sağlayıcıları etkinlik verilerini finanse ettikleri araştırmayı izole etmek,
yaygınlaştırılmasını ve kullanılmasını izlemek için kullanabilirler
Wikipedia'daki ortak atıfları analiz etmek için olay verilerini kullanarak araştırmacılar
için bir okuma önerisi aracı oluşturun
Yayıncılar işletme gereksinimlerini sürdürmeye yardımcı olmak için (metric-lead)
analizi yapabilir
Bir organizasyona çalışmalarının trend olduğunu bildirin
Araştırmacılar baskı öncesi keşfedilebilirliği ve etki analizi ile yardımcı olmak için
bloglardan ve sosyal medyadan verileri analiz edebilir
Yayıncılık hizmet sağlayıcıları etkinlik verilerini kullanım esnasında, altmetric
gösterge tablolarında veya görselleştirmelerde destekleyebilir
20. Beta sürümü incelemek
ister misiniz?
Beta hizmetinin nasıl kullanıldığına dair daha fazla şey öğrenmek
için kullanıcı rehberini okuyun
https://www.eventdata.crossref.org/guide/
Notas del editor
In our world, we know that sometimes, these things are connected.
Well, this is this is Event Data: each red arrow represents an event. Event Data is a record of the links to and between research.
Event Data is a new service that we launched in Beta earlier this year. It a records of each time we find a link to a piece of research online, outside of publisher platforms. We are not looking for citations on publisher sites.
This is an example of what we see: Tweet about a Nature Chemistry article. Because you get to see just how excited this guy is about bold, beautiful organic structures…
Which he read about in this article, that also happens to cite this dataset in its DOI metadata.
These are the the non-article dots from those slides. These are all the places we’re were gathering data from, at this point: Twitter, Wikipedia, Blogs, Reddit and the Web. We are also able to capture the links between datasets and content items as they are added into the metadata deposited with DataCite and Crossref.
Luckily, once a publisher registers content with us, we have a way of keeping track of it. Using an item’s Crossref DOI, we are able to find out when it has been saved, shared, liked, referenced or commented in all these places, and we will continue to look for new places where things like articles and datasets are being referenced. So this will grow over time.
How do we get the data? It’s a pipeline. Data comes from sources likes the ones I mentioned, we process it and curate Events based on a schema and then provide them to anyone via API. The end-user service is an API, not a user interface, so Event Data is best suitable for machine-use, or for humans who really enjoy JSON.
This is what Event Data is NOT
We believe in the principles of Open Data, so everything we provide in our service will tagged with a license that is conformant with the principles laid out in the Open Definition. Currently we have data that is either CC0 or that we can made available without restriction but in the future, we will also accept data from any source that can provide it under a conformant licence. And of course, we do also have terms of use.