Occurrence dataset Registered July 04, 2018

    The Taiwan Roadkill Observation Network Data Set.

    Description

    We describe the wildlife road kill data set collected by citizen scientists from the Taiwan Road Observation Network (TaiRON). This data set includes 46,416 geospatially referenced occurrence points of wildlife found on road networks in Taiwan starting in 2011 and until Dec. 2017. These road kill occurrence points come from Taiwan and the main islands that belong Taiwan, an 35,000 km2 island off the Eastern coast of China with high biodiversity and endemism. Each observation includes at least one photo, species name, and date and time of collection, Project managers and group experts identify each photograph and label them with vernacular and scientific names. The labelled observations are collected via an on-line platform, and compiled into a continuously growing dataset of structured records. The data set is still growing as the membership of TaiRON is very active and increasing, with over 14,000 current members. TaiRON and its data set will provide important conservation information about the impacts of human activity and pressures associated with roads on wildlife biodiversity in Taiwan and provides an example of framework that can be replicated elsewhere.

    Geographic scope

    Description

    Taiwan is a Pacific island roughly 180 kilometres off the south-eastern coast of mainland China. The island was formed by the collision at a convergent boundary between the Philippine Sea Plate and the Eurasian Continental Plate four to five million years ago. Taiwan’s total area is 36,193 km2, and the climate is subtropical in the North to tropical in the South. The data is collected from Taiwan and all the islands that belong Taiwan.

    Latitude
    From 20.715 to 25.899
    Longitude
    From 117.07 to 122.432

    Temporal scope

    range
    August 01, 2011 - December 31, 2017

    Taxonomic scope

    Description

    We recorded all of the terrestrial vertebrates and land crabs that had be road killed in Taiwan.

    Coverage
    ChordataArthropoda
    AmphibiaAvesMalacostraca

    Methodology

    Sampling

    The volunteers uploaded the photographs of the roadkill victims to the Facebook group from both regular surveys and incidental discoveries.

    Study extent

    Taiwan and the main islands that belong Taiwan

    Quality control

    After experts from the group verified the identification the observation, project managers would review the observation for accuracy and completeness and changed the status of the observation from “unconfirmed” to “confirmed” in the database. All verified data is available for the wider community to access through the website except that of protected species.

    Method steps
    1. Stage 1: Crawling Facebook Posts for Occurrence Data to Upload to Database

      This process was in use from August 2011 to the end of 2015 in which the volunteers posted observation data directly to the Facebook group.

      Originally, citizen science members uploaded a photo of the road kill specimen with a scale reference directly onto the Taiwan Roadkill Observation Network (Reptile Roadkill Mortality) Facebook page. Pertinent information was included with photos as comments on the published post, including dates, times, species names (if known), and GPS coordinates. We used a web crawler via Facebook’s Graph API to find, retrieve, verify, and input road kill data into the database. The crawler collected posts (along with images, time and location data, and other annotations) on the Facebook Group and put them in an aggregated table of all observations. Participants were also encouraged to collect and send road kill specimens to TESRI.

      Due to the unstructured format, contributors often did not upload posts with complete information, or did not post pertinent information uniformly, which made crawling for data more difficult. For example, users would often record the location inconsistently, such as decimal degrees or minutes, seconds, degrees format, qualitatively describe the location, post photos of nearby road-side utility poles with locational references, or take screen shots of a GPS app.

      Soon after launching the web app, TaiRON also released an Android app (“Android App 1.0”) for members on the Android platform to use. Similarly to the TaiRON Web App 1.0, users could submit structured data through the Android app, which would publish uniform information directly through the contributor’s Facebook account. The data would be crawled and verified by project managers before being uploaded to the database.

      There were several issues in this process. It appeared to encourage users to first publish onto the Facebook group (through Facebook, the TaiRON Web App 1.0, and the TaiRON Android App 1.0). We then crawled the group for data. User and protected species privacy were compromised; and an ever-updating Facebook APIs made application updates to keep up with Facebook necessary. Even though we were able to update the Android app in order to fix bugs that arose when each time Facebook changed its APIs, the Google Play Store’s one week lag-time in releasing the update was prohibitively slow. This prompted the project managers to develop methods to better control the content distributed on the Facebook group and to circumvent Facebook’s constant API updates.

    2. Stage 2: Direct Uploading Observations to Project Website via Android App, and Posting Abridged Information to Facebook Afterwards

      This process was in use from late 2015 to early 2017. The volunteers posted structured observation records first to the TaiRON project website. The website then posted abridged records to the Facebook group for user interactions and species identifications.

Due to the privacy issues and difficulty in keeping up with Facebook’s ever-changing interface, project managers worked with app developers to launch a new version of the free Android app (“Android App 2.0”) that members could download. With the TaiRON Android App 2.0, users were still able to log onto the app through their Facebook account, providing an easy transition for members. The main procedural change this app created was that the app allowed citizen scientists to upload their observations directly to the TaiRON website before the information was published in a uniform manner onto the Facebook group through the contributor’s Facebook account. This effectively resolved issues of gathering non-uniform data with a web crawler for database uploading and added an additional layer for information distribution control.
      After users uploaded onto the TaiRON website through the app, only the uploader and project managers had access to all the data; the detailed locational data was not published to Facebook. There was also an added option of sending an anonymous observation digest to the Facebook Group. The observer's identity and observation location is kept at the TaiRON website and known by the researchers, but is not available to others at the Facebook Group. This provides some protection of the observer's locational privacy. When the observations are aggregated into datasets, we remove the observers' IDs in the records before the datasets are made available to others. On the other hand, as many participants have opted to release their observation photos under the Creative Commons Licenses, they must be properly attributed when the image files are released. Participants can have photos attributed to their nicknames, or require no attribution at all (by the use of the CC0 Public Domain Dedication). Additionally, this step allowed us to protect the locational data for endangered and protected species, which are not released to the public on the Facebook group or on the project website; users who wished to see this data must be approved by the project managers.

      Continuing to publish the observations (sans detailed location) to the Facebook group allowed other members, including experts in the group, to have continued involvement in the verification of the data. After experts from the group verified the identification the observation, project managers would review the observation for accuracy and completeness and changed the status of the observation from “unconfirmed” to “confirmed” in the database. All verified data is available for the wider community to access through the website except that of protected species.

      Though this flip in procedural steps smoothed the process of user data input, data mining/collection from Facebook, and privacy issues with public posts on Facebook, the app was not accessible to members using iOS platforms.

    3. Stage 3: Direct Uploading Observations to Project Website via Web App, and Posting Abridged Information to Facebook Afterwards

This process is in use starting from early 2017. The volunteers also posted structured observation records first to the TaiRON project website. This is done by accessing directly to a page at website for uploading observation records. After uploading, the website abridged records to the Facebook group.

      Because the Apple App Store was prohibitively difficult to publish an app in, and the Android app was often waylaid by the time it took to release new updates, the TaiRON project team has developed the a web-native method (“Web App 2.0”) that is accessible across all smartphone platforms and does not have to be published by a third party app store. Users access the web app through their smartphone’s web browser and TaiRON’s webpage (https://roadkill.tw/). Members sign onto the webpage with their Facebook account and upload through dedicated observation-reporting pages (https://roadkill.tw/app), which is accessible through smartphones, computers, and other mobile devices with Web browsers. Here they have the option to upload up to five photos of an individual, or up to five photos of separate individuals. Once the photos are uploaded, the web app detects date, time, and locational metadata associated with the photo and automatically fills corresponding sections of the form with the option to edit the information. Users can also indicate species, supplementary explanations, if they are sending a specimen, the quantity of individuals observed, and the supposed cause of death. After an observation is directly uploaded to the website by the user, using the Facebook API, the website then automatically publishes the observation sans locational data to Facebook through the group’s user account, “TW Roadkill.” The published Facebook post tags the contributing user to credit them with the observation. After posting in the group, project managers and other expert members can then review the observation for accuracy and completeness, and once verified, change the observation status to “confirmed.”

      Currently, members can contribute observations to TaiRON’s database through several means, listed in decreasing order of ease of data collection method: 1) TaiRON Web App 2.0 accessed from the mobile website 2) directly posting on the Facebook group, and 3) directly messaging observations to a project manager. Less than 5% of observations are now contributed outside of using the Web App 2.0.

    Metrics

    Bibliography

    • Tyng-Ruey Chuang, Te-En Lin, Yi-Hong Chang, Chih-Yun Chen, Yu-Kai Chen, Ping-Keng Hsieh, Guan-Shuo Mai. Communal Data Workflow in TaiRON (Taiwan Roadkill Observation Network). In SciDataCon 2016: Advancing the Frontiers of Data in Research. September 11-13, 2016, Denver, Colorado, USA.
      View articleGoogle Scholar
    • Guan‐Shuo Mai, Cheng‐Hsin Hsu, Te‐En Lin, Hsu‐Hong Lin, Dong‐Po Deng, Kwang‐Tsao Shao. Harvesting crowdsourcing biodiversity data from Facebook group. In The 2nd Asian Regional Conference of Society for Conservation Biology. August 07 2012. Biodiversity Research Center, Academia Sinica, Taipei, Taiwan.
      View articleGoogle Scholar
    • Dongpo Deng, Tyng-Ruey Chuang, Kwang-Tsao Shao, Guan-Shuo Mai, Te-En Lin, Rob Lemmens, Cheng-Hsin Hsu, Hsu-Hong Lin, Menno-Jan Kraak,. 2012. Using social media for collaborative species identification and occurrence: issues, methods, and tools. SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems, ACM.
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    • Tyng-Ruey Chuang, Dong-Po Deng, Cheng-Hsin Hsu, Lucien C.-H. Lin, Te-En Lin, Guan-Shuo Mai, Kwang-Tsao Shao and Mei-Hsueh Wang. 2015. Collaborative Ecological Observation: Issues in Moving from Social Media to Research Data. In the Citizen Science 2015 Conference. 2015, 11-12 February. San Jose, CA, USA.
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    Contacts

    • Te-En Lin

      Originator
      Metadata author
      Administrative point of contact
      Organization
      Taiwan Endemic Species Researcher Institute
      Position
      Assistant Researcher
      Address
      1 Ming-Sheng East Road, Jiji Township, Nantou County, Taiwan
      Roles
      Originator
      Metadata author
      Administrative point of contact
      Email
      Phone
    • Dong-Po Deng

      Programmer
      Organization
      Institute of Information Science, Academia Sinica
      Position
      Geospatial information specialist
      Address
      128 Academia Road, Section 2 Nangang District 115, Taipei Taiwan
      Roles
      Programmer
      Email
    • Guan-Shuo Mai

      Programmer
      Organization
      Biodiversity Research Center, Academia Sinica
      Position
      Research Assistant
      Address
      128 Academia Road, Section 2 Nangang District 115, Taipei Taiwan
      Roles
      Programmer
      Email
    • Cheng-Hsin Hsu

      Programmer
      Organization
      Digital Center, Academia Sinica
      Position
      Research Assistant
      Address
      128 Academia Road, Section 2 Nangang District 115, Taipei Taiwan
      Roles
      Programmer
      Email
    • Shih-Wei Chang

      Processor
      Organization
      Taiwan Endemic Species Researcher Institute
      Position
      Associate Research Scientist
      Address
      1 Ming-Sheng East Road, Jiji Township, Nantou County, Taiwan
      Roles
      Processor
      Email
    • Cheng-Te Yao

      Processor
      Organization
      Taiwan Endemic Species Researcher Institute
      Position
      Associate Research Scientist
      Address
      1 Ming-Sheng East Road, Jiji Township, Nantou County, Taiwan
      Roles
      Processor
      Email
    • Da-Li Lin

      Processor
      Organization
      Taiwan Endemic Species Researcher Institute
      Position
      Assistant Researcher
      Address
      1 Ming-Sheng East Road, Jiji Township, Nantou County, Taiwan
      Roles
      Processor
      Email
    • Yu-Kai Chen

      Processor
      Organization
      Taiwan Endemic Species Researcher Institute
      Position
      Research Assistant
      Address
      1 Ming-Sheng East Road, Jiji Township, Nantou County, Taiwan
      Roles
      Processor
      Email
    • Chih-Yun Chen

      Processor
      Organization
      Taiwan Endemic Species Researcher Institute
      Position
      Research Assistant
      Address
      1 Ming-Sheng East Road, Jiji Township, Nantou County, Taiwan
      Roles
      Processor
      Email
    • Tyng-Ruey Chuang

      Programmer
      Organization
      Institute of Information Science, Academia Sinica
      Position
      Associate Research Fellow
      Address
      No 128, Academia Road, Section 2 Nankang, Taipei 11529, Taiwan
      Roles
      Programmer
      Email
      Phone
    • Jheng-Jhang Li

      Processor
      Organization
      National Museum of Marine Biology and Aquarium
      Position
      Crustaceans taxonomy specialist
      Address
      2 Houwan Road, Checheng, Pingtung 944, Taiwan ROC,
      Roles
      Processor
      Email
    • Kristina Chyn

      User
      Organization
      Ecology and Evolutionary Biology | Texas A&M University
      Position
      PH.D. Candidate
      Address
      Wildlife Fisheries & Ecological Sciences (WFES) Rm 267 Texas A&M University College Station, TX 77843
      Roles
      User
      Email

    GBIF registration

    Registration date
    July 04, 2018
    Metadata last modified
    June 21, 2025
    Publication date
    June 21, 2025
    Hosted by
    Taiwan Biodiversity Information Facility (TaiBIF)
    Installation
    TaiBIF IPT
    Endpoints
    Darwin Core Archive
    EML
    Preferred identifier
    10.15468/cidkqi
    Alternative identifiers

    Citation

    Lin T (2025). The Taiwan Roadkill Observation Network Data Set.. Version 1.10. Taiwan Biodiversity Research Institute. Occurrence dataset https://doi.org/10.15468/cidkqi accessed via GBIF.org on 2025-08-14.