## 6 Conclusions and Future Work  
OSM provides a cost-effective solution for the community to develop the regions by crowdsourcing. Further, the OSM platform can work as a reliable, fast and efficient framework where the spatial data acquisition process by official mapping agencies is slow. Hence, OSM can enable quick visualization of the expanding road network in developing countries like India. Furthermore, it provides an opportunity for researchers to process a huge amount of labeled data for quality assessment. The thorough review of the literature revealed the need for the development of easy-to-use procedures for data assessment specific to different GI domains. Hence, to fill the gap, the current study has extended the functionality of the processing toolbox of QGIS. The developed models would pave the way to analyze the contributed data and identify deficiencies in the data. Thus, the community can easily perform a collaborative effort (mapping party) to rectify those issues. The models developed can be used to analyze street networks worldwide and can easily adapt to check for the completeness of other features. Further, easy-to-use models can encourage researchers to explore the regions in developing countries using intrinsic indicators. Hence, the models would help in overcoming the skewed distribution of studies in developing countries as compared to developed countries. The intrinsic indicators used to assess the spatial dataset are network length completeness, attribute completeness, user contribution assessment and heuristic road navigability assessment. The case study of Punjab (India) has been taken to evaluate the models. Further, during the period January 2016 to February 2017, more rural area contribution has been observed as compared to the urban area, and also, the already existing class of roads has been renamed to other classes. Hence, a few old classes have diminished, and new classes have emerged during this period. The user contribution analysis model has revealed that although the count of users has increased over the period, only 11.2% of mappers are senior and active members. This count is in alignment with the fact that less than 20% contributes more than 80% of the data. The results have shown that OSM in the region is undergoing slow development, and there is a need to motivate local contributors by organizing mapping parties. The results of heuristic road navigability analysis showed that the length of the shortest paths generated for navigation is affected by the completeness of the underlying dataset. Further, it has been observed that some street networks have a significant number of missing road networks. It is further revealed that turn-restrictions are totally missing, whereas low percentage maxspeed attributes are present in the data. The size of the origin-destination points sample used in this study was small to make definite statements about completeness. However, still, the model designed can be extended to any number of computations. Further, computer science and geospatial researchers should view OSM as an opportunity to investigate computational research challenges. The future research would be focusing on the identification of heuristic intrinsic quality indicators for the assessment of OSM data and add more components to the existing script for the development of the QGIS plugin for assessing data specific to different GI domains. Furthermore, an effort would be made for the generalization of such heuristic methods through longitudinal studies. The authors are grateful to the Guru Nanak Dev Engineering College, Ludhiana, for providing the essential infrastructure and facilities for conducting the study. The authors would like to thank [PERSON] for proofreading our paper and the anonymous reviewers for their constructive comments and suggestions in improving the clarity of the article. [PERSON] identified the need of such tool and [PERSON] developed the models and obtained results.