Incorporate suggestion from Nicoleta.

Author: arokem

sections/02-use-cases.qmd

@@ -123,25 +123,30 @@ wide range of stakeholders and tap a broad base of expertise.
 ## Community science
 
 Another interesting use case for open-source standards is community/citizen
-science. This approach, which has grown in the last 20 years, has many benefits
-for both the research field that harnesses the energy of non-scientist members
-of the community to engage with scientific data, as well as to the community
-members themselves who can draw both knowledge and pride in their participation
-in the scientific endeavor. It is also recognized that unique broader benefits
-are accrued from this mode of scientific research, through the inclusion of
-perspectives and data that would not otherwise be included. To make data
-accessible to community scientists, and to make the data collected by community
-scientists accessible to professional scientists, it needs to be provided in a
-manner that can be created and accessed without specialized instruments or
-specialized knowledge. Here, standards are needed to facilitate interactions
-between an in-group of expert researchers who generate and curate data and a
-broader set of out-group enthusiasts who would like to make meaningful
-contributions to the science. This creates a particularly stringent constraint
-on transparency and simplicity of standards. Creating these standards in a
-manner that addresses these unique constraints can benefit from OSS tools, with
-the caveat that some of these tools require additional expertise. For example,
-if the standard is developed using git/GitHub for versioning, this would
-require learning the complex and obscure technical aspects of these system that
-are far from easy to adopt, even for many professional scientists.
+science. An early example of this approach is OpenStreetMap
+(https://www.openstreetmap.org), which allows users to contribute to the
+project development with code and data and freely use the maps and other
+related geospatial datasets. But this example is not unique. Overall, this
+approach has grown in the last 20 years and has been adopted in many different
+fields. It has many benefits for both the research field that harnesses the
+energy of non-scientist members of the community to engage with scientific
+data, as well as to the community members themselves who can draw both
+knowledge and pride in their participation in the scientific endeavor. It is
+also recognized that unique broader benefits are accrued from this mode of
+scientific research, through the inclusion of perspectives and data that would
+not otherwise be included. To make data accessible to community scientists, and
+to make the data collected by community scientists accessible to professional
+scientists, it needs to be provided in a manner that can be created and
+accessed without specialized instruments or specialized knowledge. Here,
+standards are needed to facilitate interactions between an in-group of expert
+researchers who generate and curate data and a broader set of out-group
+enthusiasts who would like to make meaningful contributions to the science.
+This creates a particularly stringent constraint on transparency and simplicity
+of standards. Creating these standards in a manner that addresses these unique
+constraints can benefit from OSS tools, with the caveat that some of these
+tools require additional expertise. For example, if the standard is developed
+using git/GitHub for versioning, this would require learning the complex and
+obscure technical aspects of these system that are far from easy to adopt, even
+for many professional scientists.