3.3 Conclusions : merging the queries to get a common dataset

We can notice that we have performed different searches by using different approaches: for example Daniele has filtered the first step by removing all medicine subject areas and Marco has filtered by including only engineering subject area and english as language.
 
We have performed several searches, we now build a database in RefWorks, including the results from:
The two searches explore two differents nuances of the same topics, merging them togheter means building a solid bibliography structure  with interconnected elements. Doing so, we can have a dataset of papers regarding the whole topics we have pointed out in the beginning of this text.

4. Merging of search results and bibliometric analysis

4.1 The dataset

The bibliometric analysis has been performed with Bibliometrix, an open-source tool to develop bibliometrics analysis. In this software we can upload only a dataset downloaded from Scopus or Mendeley, by exporting from Refworks or other software, it will not work.
So we cannot export directly from Refworks and we have to perform one last search in Scopus, by including research (#16) from Daniele and (#21) from Marco.
By using the following query we should avoid any duplicate.  
[
("built environment" AND ("cultural heritage" OR "historical heritage") AND management AND (bim OR GIS) AND ( EXCLUDE ( SUBJAREA,"CENG" ) OR EXCLUDE ( SUBJAREA,"CHEM" ) OR EXCLUDE ( SUBJAREA,"BIOC" ) OR EXCLUDE ( SUBJAREA,"PSYC" ) OR EXCLUDE ( SUBJAREA,"NURS" ) OR EXCLUDE ( SUBJAREA,"HEAL" ) OR EXCLUDE ( SUBJAREA,"IMMU" ) OR EXCLUDE ( SUBJAREA,"PHAR" ) OR EXCLUDE ( SUBJAREA,"NEUR" ) OR EXCLUDE ( SUBJAREA,"VETE" ) OR EXCLUDE ( SUBJAREA,"DENT" ) ) )
OR
(( TITLE-ABS-KEY ( construction* )  AND  TITLE-ABS-KEY ( bim  OR  "building information model*" )  AND  TITLE-ABS-KEY ( digital*  OR  digiti?ation ) )  AND  ( LIMIT-TO ( SUBJAREA ,  "ENGI" ) )  AND  ( LIMIT-TO ( LANGUAGE ,  "English" ) ) )
]