minor tweak

paper.Rmd

@@ -63,7 +63,7 @@ While it is possible to work with repertory grids directly without further proce
 
 The OpenRepGrid project was started with the idea of overcoming above mentioned issues. It was designed as an open source project allowing other researchers to contribute, for example, by implementing new features. R was chosen as the programming language as it runs on all major operating systems, gets increasingly popular among academics and is nowadays already taught to undergrads at many universities. The open source nature of R makes it transparent how functions (i.e. methods of grid analysis) are implemented. Also, R and most contributed packages are distributed under a copyleft license. This allows reseachers to use or modify existing code for their own needs and redistribute the code under the same license. In total, the obstancles to experimenting and contributing are significantly lowered compared to other softwares on the market. 
 
-The open source and collaborative stance of the project may bear another important benefit in terms of scientific progress. Currently, there appears to exist a substantial latency between publication of new grid analysis methods and them being made available to researchers as software features. For example, the *structural quadrant method* (SQM), a method to assess construct system complexity, devised almost 20 years ago by @gallifa_structural_2000, may serve as an example. The SQM has not been implemented in any grid program, hindering research and discussion of the method. The OpenRepGrid project may help to improve this situation. If researchers decide to build their new method in R from the beginning on, adding their method to the OpenRepGrid package will only be a small additional step. This will facilitate the dissemination of new methods in the research community, leading to a reduction in time-to-market for new methodological ideas. Once the method's code has been tested and documented, it can immediately become part of the OpenRepGrid package and instantly be used by all researchers using grids.
+The open source and collaborative stance of the project may bear another important benefit in terms of scientific progress. Currently, there appears to exist a substantial latency between publication of new grid analysis methods and them being made available to researchers as software features. For example, the *structural quadrant method* (SQM), a method to assess construct system complexity, devised over 20 years ago by @gallifa_structural_2000, may serve as an example. The SQM has not been implemented in any grid program, hindering research and discussion of the method. The OpenRepGrid project may help to improve this situation. If researchers decide to build their new method in R from the beginning on, adding their method to the OpenRepGrid package will only be a small additional step. This will facilitate the dissemination of new methods in the research community, leading to a reduction in time-to-market for new methodological ideas. Once the method's code has been tested and documented, it can immediately become part of the OpenRepGrid package and instantly be used by all researchers using grids.
 
 Another reason for the choice of R is its growing ability to easily build graphical user interfaces (GUI) using, for example, the *shiny* [@chang_shiny:_2019] and other related R packages. The PCP community is on average not well-versed in programming. This translates into the need for easy to operate, GUI-based software. As shiny does not require knowledge of other web languages (i.e. CSS, HTML, JavaScript) to build a fully operational web application, R is also a suitable choice to fullfill this community need.
 

paper.md

@@ -59,7 +59,7 @@ While it is possible to work with repertory grids directly without further proce
 
 The OpenRepGrid project was started with the idea of overcoming above mentioned issues. It was designed as an open source project allowing other researchers to contribute, for example, by implementing new features. R was chosen as the programming language as it runs on all major operating systems, gets increasingly popular among academics and is nowadays already taught to undergrads at many universities. The open source nature of R makes it transparent how functions (i.e. methods of grid analysis) are implemented. Also, R and most contributed packages are distributed under a copyleft license. This allows reseachers to use or modify existing code for their own needs and redistribute the code under the same license. In total, the obstancles to experimenting and contributing are significantly lowered compared to other softwares on the market. 
 
-The open source and collaborative stance of the project may bear another important benefit in terms of scientific progress. Currently, there appears to exist a substantial latency between publication of new grid analysis methods and them being made available to researchers as software features. For example, the *structural quadrant method* (SQM), a method to assess construct system complexity, devised almost 20 years ago by @gallifa_structural_2000, may serve as an example. The SQM has not been implemented in any grid program, hindering research and discussion of the method. The OpenRepGrid project may help to improve this situation. If researchers decide to build their new method in R from the beginning on, adding their method to the OpenRepGrid package will only be a small additional step. This will facilitate the dissemination of new methods in the research community, leading to a reduction in time-to-market for new methodological ideas. Once the method's code has been tested and documented, it can immediately become part of the OpenRepGrid package and instantly be used by all researchers using grids.
+The open source and collaborative stance of the project may bear another important benefit in terms of scientific progress. Currently, there appears to exist a substantial latency between publication of new grid analysis methods and them being made available to researchers as software features. For example, the *structural quadrant method* (SQM), a method to assess construct system complexity, devised over 20 years ago by @gallifa_structural_2000, may serve as an example. The SQM has not been implemented in any grid program, hindering research and discussion of the method. The OpenRepGrid project may help to improve this situation. If researchers decide to build their new method in R from the beginning on, adding their method to the OpenRepGrid package will only be a small additional step. This will facilitate the dissemination of new methods in the research community, leading to a reduction in time-to-market for new methodological ideas. Once the method's code has been tested and documented, it can immediately become part of the OpenRepGrid package and instantly be used by all researchers using grids.
 
 Another reason for the choice of R is its growing ability to easily build graphical user interfaces (GUI) using, for example, the *shiny* [@chang_shiny:_2019] and other related R packages. The PCP community is on average not well-versed in programming. This translates into the need for easy to operate, GUI-based software. As shiny does not require knowledge of other web languages (i.e. CSS, HTML, JavaScript) to build a fully operational web application, R is also a suitable choice to fullfill this community need.