diff --git a/paper.md b/paper.md index 293002f..974a562 100644 --- a/paper.md +++ b/paper.md @@ -38,14 +38,15 @@ bibliography: paper.bib ## Summary -Teaching, learning, and conducting data science often relies on internet +Teaching, learning, and conducting data science often rely on Internet connections for accessing and distributing data, software, and educational materials. As a result, it can be challenging to run data science training and conduct data science work in locations with limited or no internet access. We developed the offlinedatasci package to help address this challenge as part of a broader set of tools and instructional materials developed by [CarpentriesOffline](https://carpentriesoffline.org) to facilitate -teaching and doing data science in Internet limited environments. +teaching and doing data science in Internet-limited environments. + Offlinedatasci automates the downloading and updating of the most recent materials for running workshops, and conducting offline data science work more broadly, including open source statistical and graphing @@ -86,7 +87,7 @@ stable Internet connection to download data, install software, and view teaching materials while learning or working. While access to a computer is an unavoidable requirement for most stages of data science, the need for regular Internet access can be mitigated by obtaining the necessary -data, software, and lesson materials when and where internet access is +data, software, and lesson materials when and where Internet access is available. Once these materials are downloaded, much of the associated training and data science work can be accomplished without Internet access. However, the knowledge necessary to accomplish this is often not @@ -104,7 +105,7 @@ accessibility to the Internet. The offlinedatasci package is part of a growing set of tools and instructional materials developed by CarpentriesOffline to facilitate -teaching and doing data science in Internet limited environments. The +teaching and doing data science in Internet-limited environments. The larger ecosystem allows local computers and low power devices such as the Raspberry Pi, to be used as isolated servers to provide workshop attendees a wireless network to acquire the necessary materials during workshops even when there is no