Reference DOI

paper.bib

@@ -3,7 +3,8 @@ @misc{
   author = {William Michael Landau},
   title = {{drake: an R-focused pipeline toolkit for reproducibility and high-performance computing}},
   year = {2018},
-  howpublished = {https://CRAN.R-project.org/package=drake}
+  howpublished = {https://github.com/ropensci/drake},
+  DOI = {10.5281/zenodo.1160697}
 }
 
 @misc{
@@ -39,5 +40,6 @@ @misc{
   author = {Rich FitzJohn},
   note = {R package version 0.3.0},
   year = {2017},
-  howpublished = {GitHub repository, https://github.com/richfitz/remake}
+  howpublished = {\url{https://github.com/richfitz/remake}},
+  commit = {e29028b548950a3132ea2d045b7f67344ce22a6b}
 }

paper.md

@@ -5,6 +5,7 @@ tags:
   - reproducibility
   - high-performance computing
   - pipeline
+  - workflow
   - Make
 authors:
   - name: William Michael Landau
@@ -20,6 +21,6 @@ bibliography: paper.bib
 
 # Summary
 
-The `drake` R package [@drake] is a workflow manager and computational engine for data science projects. Its primary objective is to keep results up to date with the underlying code and data. When it runs a project, `drake` detects any pre-existing output and refreshes the pieces that are outdated or missing. Not every runthrough starts from scratch, and the final answers are reproducible. With a user-friendly R-focused interface, comprehensive documentation, and [extensive implicit parallel computing support](https://github.com/ropensci/drake/blob/master/vignettes/parallelism.Rmd), `drake` surpasses the analogous functionality in similar tools such as [Make](www.gnu.org/software/make/) [@Make], [remake](https://github.com/richfitz/remake) [@remake], [memoise](https://github.com/r-lib/memoise) [@memoise], and [knitr](https://github.com/yihui/knitr) [@knitr].
+The `drake` R package [@drake] is a workflow manager and computational engine for data science projects. Its primary objective is to keep results up to date with the underlying code and data. When it runs a project, `drake` detects any pre-existing output and refreshes the pieces that are outdated or missing. Not every runthrough starts from scratch, and the final answers are reproducible. With a user-friendly R-focused interface, [comprehensive documentation](https://ropensci.github.io/drake), and [extensive implicit parallel computing support](https://github.com/ropensci/drake/blob/master/vignettes/parallelism.Rmd), `drake` surpasses the analogous functionality in similar tools such as [Make](www.gnu.org/software/make/) [@Make], [remake](https://github.com/richfitz/remake) [@remake], [memoise](https://github.com/r-lib/memoise) [@memoise], and [knitr](https://github.com/yihui/knitr) [@knitr].
 
 # References