## 4 Future Trends
Similar approaches have been discussed under the term \"gamification\" to engage new or established contributors of the OSM project to solve errors in the collected dataset in the next few years. A popular example in this domain is the Kort Game, a mobile web-app to repair OSM data, which already showed that OSM contributors and other volunteers are willing to enter missing information, such as the name of a POI, to the dataset. Due to several data imports, automated data edits and software issues in OSM, it is very important that researchers consider who created, modified or deleted the data in the area of interest during their analyses. Features and objects that were created during a data import, modified by an automated script (bot) or deleted by accident or as an act of vandalism do not represent the general pattern of the dataset and need to be highlighted or excluded during the analysis. [PERSON] and [PERSON] [71] stated that before 2011, a software error in one of the OSM editors increased the version number of each object, which falls into the extent of a certain changeset, although it was not changed by the contributor, a major error that especially needs consideration in studies that utilize the OSM full history dump files. [PERSON] _et al_. [94] showed in their study that the majority of motorized traffic-related data contributions in the U.S. are based on data imports or were changed by automated edits. Unless it is the purpose of the study to identify these patterns, researchers need to be aware of the potential errors that are caused by these procedures. The detection of the aforementioned vandalism cases in VGI projects has been previously investigated for other UGC-related projects, such as Wikipedia [121]. Although only a small number of vandalism cases were detected in OSM in recent years, a study [52] revealed that the number of vandalism cases correlates with the popularity increase of the OSM project. Thus, the need for methods and designated tools that provide secure VGI vandalism detection will spark some of the OSM-related future research. [PERSON] and [PERSON] [153] proposed that VGI communities should implement data control methods, which could be based on a review system similar to the \"edit-reviewer\" function in Google Map Maker, in which contributions of newly active members are checked for their eligibility [154]. In the case of OSM, the question remains if there are enough volunteers available that are willing to work on manual data validation tasks to approve data edits made by unknown contributors [52]. Based on the findings of prior studies, this could be a difficult task, since most contributors restrict their edits and updates to their own collected data [119, 136]. A number of significant questions about the long-term motivation and the future of VGI platforms and their contributors have been asked by many in recent years. Based on the presented results in this article about the OSM community, we can say that at least every third contributor, of all the active contributors that ever added information, will continue to contribute over several years. Future research could reveal what type of information long-term members contribute. Do they collect new data in different areas or do they start collecting more detailed information, such as trees or sidewalk and surface information, in their home area? On the other hand, it would be interesting to know what demotivates contributors and makes them stop contributing data to the project. One possible answer could be that there is \"no-more interesting work\" left to do [118]. Besides the motivation of current contributors, others raise questions on how new volunteers can be attracted to VGI projects [2]. In the past three months (August to October, 2013), OSM increased by 1,000 new members each day, of which 150 actively started contributing. Compared with prior findings, these numbers reveal a decreasing pattern in the number of registered members per day [21].