c671d43f-7fb9-4b5a-a964-630bfbf47dd2 http://www.gbif.jp/ipt/resource?r=niaes_mobile_photopj1 A crowdsourcing approach to collecting photo-based insect and plant observation records Takeshi Osawa Institute for Agro-Envieonmental Sciences, NARO Senior Researcher
JP
Takeshi Osawa Institute for Agro-Envieonmental Sciences, NARO Senior Researcher
JP
arosawa@gmail.com
Takeshi Osawa Instirute for Agro-Environmental Sciences, NARO Senior Researcher
JP
arosawa@gmail.com author
2018-01-11 eng Background: Scientific field observation by members of the public is known as citizen science and has become popular all across the world. Citizen science is advantageous for collecting large amounts of scientific data and can be seen as a crowdsourcing approach to data collection. Information and communications technology is enhancing the availability of citizen science. Mobile devices, such as mobile phones, that have a digital camera with a global positioning system (GPS) are necessities of contemporary life and can be utilized as powerful observation tools in citizen science. New information: We developed a web-based system as a data collection tool for citizen science. Participants submit an e-mail with a photo taken by their mobile phones. The photos contain location information, which can be easily and automatically embedded if the mobile phone is equipped with GPS. We collaborated with regional event managers, such as museum curators, and held citizen science events in each region and for various target taxonomic groups. All photos were stored in our data server, and the organisms were taxonomically identified by citizen scientists, regional managers, and us. In total, 154 species and 843 data records were collected in this project conducted from 2011 to 2016. Citizen science GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type.xml This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License. The collection sites of the data provided here are distributed across Japan, from Hokkaido to the southern islands. A few foreign records are also included. 129.199 147.48 45.337 29.993 2011-06-01 2016-10-01 With regard to taxonomy and systematics, all species were identified by the regional managers and authors according to the morphotypes of objects. If we could not obtain sufficient information for proper species identification, i.e. the species which is difficult to identify, we did not include that record in this data paper. As a result, we have provided 843 records of 154 species. Thus, these species were ordinary which can identify easily based on photo. kingdom Plantae/Animalia notPlanned Takeshi Osawa Institute for Agro-Envieonmental Sciences, NARO Senior Researcher
JP
We discuss the rationale for each event with the regional manager beforehand and set up an event-specific subsystem for projects. We designate an event-specific address to which the participants send their e-mails. Event-specific websites which relate to each subsystem were opened. For some observation events, we ask citizen scientists to identify the organisms that they have observed and put the names of the organisms in their e-mails. We help regional managers to check all records posted and re-examine the species names classified by the citizen scientists on the basis of the photos attached. We have removed records that could not be identified to the species level from a photo. The collection sites of the data provided here are distributed across Japan, from Hokkaido to the southern islands. We developed a web-based system to collect photos taken by citizen scientists. The system is a customized version of the commercial mobile photo system developed by Fujitsu FIP, Co. (http://www.fujitsu.com/jp/group/fip/solutions/business-and-technology-solutions/sustainability-solution/management/biodiversity/; accessed 10 August 2017). Customized system could set a several subsystem which independent in each. Each regional manager can set that according to their purpose of the collection event and managed that. In the subsystem, regional manager can manage photo which collected their event only. The main system which managed by us, we can manage all photos collected by all subsystems. The data collection procedure is simple: a participant takes a photo of the observation target and sends an e-mail with the photo that has geographic information embedded by GPS. The timing and location of all the photos sent to the system are automatically extracted and stored in the data server. The records and the photos are available to be viewed by participants in our project websites from 2011 to 2016 (Note, however, that they are currently closed.) with the map of our web GIS. NIAES mobile photo project NIAES This project does not have specific themes, such as target species. Instead, the themes are chosen by regional project managers, who have their own targets, motivations, and purposes. Thus, the project was designed to include a variety of approaches, have different goals, and involve many scientific disciplines. Increasing participation in citizen science projects is essential, and devising strategies on how to attract participants and deciding which themes will enhance participation are critical challenges. JSPS KAKENHI grants no. 15K12154 and no. 24651040. We have provided the platform (described in the Sampling methods section) of an internet-based photo-collection system for regional managers. We help regional managers to arrange data collection events, but the data collection itself is handled by the regional managers. For example, the manager could be a natural history museum curator who is interested in organizing nature walks that incorporate photography, or an environmental non-profit organization that is conducting a survey of alien invasive species around a locality. Each regional manager arranges the data collection method, recruits participants, and posts photos to our system via e-mail. Those e-mails are then automatically handled by the system and are stored in the system’s data server.
2017-09-22T03:10:26.516+09:00 dataset Osawa T (2017): A crowdsourcing approach to collecting photo-based insect and plant observation records. v1.3. No organisation. Dataset/Occurrence. http://localhost:8080/ipt/resource?r=mobile_photopj&v=1.3 c671d43f-7fb9-4b5a-a964-630bfbf47dd2/v1.4.xml