diff --git a/DESCRIPTION b/DESCRIPTION
index 4e14fad..6e9de16 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: lemis
 Type: Package
 Title: The LEMIS Wildlife Trade Database
-Version: 1.0.0
+Version: 1.1.0
 Authors@R: c(
     person("Noam", "Ross", , "ross@ecohealthalliance.org", role = c("aut", "cre")),
     person("Evan A.", "Eskew", , "eskew@ecohealthalliance.org", role = c("aut")),
diff --git a/NEWS.md b/NEWS.md
index 9bebf23..5055ff1 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,7 @@
+# lemis 1.1.0
+
+This data release has the same temporal scope as the v1.0.0 data (2000-2014) but with minor revisions (mainly related to taxonomy calling) resulting from peer review feedback.
+
 # lemis 1.0.0
 
 This is the first version of the **lemis** data intended for public release. Changes include:
diff --git a/data-raw/README.md b/data-raw/README.md
index 447e2e5..b2ed900 100644
--- a/data-raw/README.md
+++ b/data-raw/README.md
@@ -12,7 +12,7 @@ The scripts in this directory import, clean, and process the data for the **lemi
   
     Once the `.fst` file is generated, it can be attached to the package as a release using `datastorr::github_release_create()`. Please read the help file for this function before doing so. Also, before release, one should update the package version in `DESCRIPTION` and commit all changes to GitHub.
 
-    v1.0.0 of **lemis** has the 2000-2014 data set.
+    v1.1.0 of **lemis** has the 2000-2014 data set.
 
 Finally, `data-raw/` contains two supplemental scripts related to **lemis** package development:
 
diff --git a/data-raw/process_lemis.R b/data-raw/process_lemis.R
index 6a6ed02..10635a1 100644
--- a/data-raw/process_lemis.R
+++ b/data-raw/process_lemis.R
@@ -32,6 +32,6 @@ lemis_for_compression <- read_csv(
 write_fst(lemis_for_compression, h("data-raw", "lemis.fst"), compress = 100)
 
 # Release the compressed data
-# lemis:::lemis_release(description = "First package data for public release (v1.0.0)",
+# lemis:::lemis_release(description = "Data release revisions following peer review (v1.1.0)",
 #                       filename = h("data-raw", "lemis.fst"),
 #                       target = "master", ignore_dirty = FALSE)