oaire post

subugoe · Apr 7, 2020 · a90ccf1 · a90ccf1
1 parent b2c73c6
commit a90ccf1
Show file tree

Hide file tree

Showing 12 changed files with 6,516 additions and 262 deletions.
diff --git a/_posts/oaire_graph_2020/oaire_graph_post.Rmd b/_posts/oaire_graph_2020/oaire_graph_post.Rmd
@@ -2,12 +2,12 @@
 title: "Accessing and analysing the OpenAIRE Research Graph data dumps"
 description: | 
   The OpenAIRE Research Graph provides a wide range of metadata about grant-supported research publications. This blog post presents an experimental R package with helpers for splitting, de-compressing and parsing the underlying data dumps. I will demonstrate how to use them by examining the compliance of funded projects with the open access mandate in Horizon 2020.
-draft: true
 author:
   - name: Najko Jahn 
     url: https://twitter.com/najkoja
     affiliation: State and University Library Göttingen
     affiliation_url: https://www.sub.uni-goettingen.de/
+date: "`r Sys.Date()`"
 output: distill::distill_article
 bibliography: literature.bib
 resources:
@@ -145,6 +145,8 @@ In this use case, I will illustrate how to make use of the OpenAIRE Research Gra
 
 As a start, I load a dataset, which was compiled following the above-described methods using the whole `h2020_results.gz` dump.
 
+<aside>The parsed file is shared as <a href="https://github.com/subugoe/scholcomm_analytics/releases/tag/oaire_graph_post"> GitHub release asset</a></aside>
+
 ```{r}
 oaire_df <-
   jsonlite::stream_in(file("data/h2020_parsed.json"), verbose = FALSE) %>%

diff --git a/_posts/oaire_graph_2020/oaire_graph_post.html b/_posts/oaire_graph_2020/oaire_graph_post.html