<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Spatial Knowledge and Information Canada</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>The tools of citizen science: An evaluation of map-based crowdsourcing platforms</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>ZACHARY LAMOUREUX</string-name>
          <email>zjjlamou@ucalgary.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>VICTORIA FAST</string-name>
          <email>victoria.fast@ucalgary.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Geography, University of Calgary</institution>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2019</year>
      </pub-date>
      <volume>7</volume>
      <issue>4</issue>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        There seems to be a persistent yet
inaccurate sentiment that collecting vast
amounts of data via citizen science is
virtually free, especially compared to the
cost of privatized scientific endeavors
        <xref ref-type="bibr" rid="ref1 ref3">(Bonney et al., 2009; Cooper, Hochachka &amp;
Dhondt, 2011)</xref>
        . However, performing
scientific procedures with the assistance of
the public is often far more complex than
traditional scientific enquiry
        <xref ref-type="bibr" rid="ref2">(Bonter &amp;
Cooper, 2012)</xref>
        .
      </p>
      <p>
        Citizen science promotes the
participation of the public in scientific
endeavors
        <xref ref-type="bibr" rid="ref8">(Hecker et al., 2018)</xref>
        . While
citizen science is not synonymous with
volunteered geographic information (VGI)—
broadly defined as the creation of
geographic information by citizens
        <xref ref-type="bibr" rid="ref6">(Goodchild, 2007)</xref>
        —it often produces
geographic information. Similar to VGI,
citizen science projects tend to follow
specific protocols to ensure the
crowdsourced geographic data serves as an
input for (scientific) research
        <xref ref-type="bibr" rid="ref7">(Haklay,
2013)</xref>
        . Also similar to VGI, citizen science
projects often require software applications
and specialized training to facilitate citizen
data collection. Notably, citizen science
projects are increasingly requiring a
webbased participatory mapping platform—i.e.,
Geoweb
        <xref ref-type="bibr" rid="ref9">(Leszczynski &amp; Wilson, 2013)</xref>
        —to
coordinate the proliferation of citizen
contributions.
      </p>
      <p>
        Many scientists, researchers, and
especially geographers, have developed their
own platforms to facilitate the capture,
management, and sharing of citizen science
contributions. Notable examples include
Geolive
        <xref ref-type="bibr" rid="ref4">(Corbett &amp; Cochrane, 2017)</xref>
        , GeoKey
        <xref ref-type="bibr" rid="ref11">(Roick, Haklay, &amp; Ellul, 2016)</xref>
        , and
Argumap (now Cartoforum)
        <xref ref-type="bibr" rid="ref10 ref10 ref12 ref12">(Rinner,
Kumari, &amp; Mavedati, 2011; Sani &amp; Rinner,
2011)</xref>
        . These platforms “provide an online
space for collective place-based knowledge,
experience and wisdom to be captured,
shared, exchanged, contested and
negotiated”
        <xref ref-type="bibr" rid="ref4">(Corbett &amp; Cochrane, 2017, p.2)</xref>
        .
However, these map-based data platforms
are often developed with significant
financial expense, time investment and risk
tolerance
        <xref ref-type="bibr" rid="ref1">(Bonney et al., 2009)</xref>
        . It is
unrealistic to assume that the developers of
every geographic citizen science project will
have the time, capital, and technical skill
necessary to develop their own platform.
      </p>
      <p>As an alternative to in-house
developed tools, there are several
commercial and open-source online
mapping platforms dedicated to
crowdsourcing data that could be useful to
individuals starting citizen science projects.
These tools have been developed with two
key features: a front-end user interface, and
a “sign up and go” back-end to enable the
creation of a project or deployment by
anyone. No app development or
programming is required for the person
initiating a project.</p>
      <p>In this research, we investigate
publicly available commercial and
opensource map-based tools that enable citizen
science projects. Building on a
comprehensive comparative framework, we
conduct a systematic evaluation and
overview of five map-based crowdsourcing
platforms: Ushahidi, Maptionnaire,
Survey123 (ArcGIS Online), Open Data Kit,
and GIS Cloud. These tools have additional
uses that extend beyond the field of citizen
science; however, the scope of the
investigation was narrowed to focus on
aspects most suitable for citizen science
endeavors, such as the collection,
management, visualization and
dissemination of crowdsourced data. It is
our intention to provide information on how
these publicly available crowdsourcing
platforms suit generic geographic citizen
science crowdsourcing needs.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Methods and Data</title>
      <sec id="sec-2-1">
        <title>2.1 Platform Selection</title>
        <p>Three of the selected platforms
(Maptionnaire, Survey123 and GIS Cloud)
are commercial tools, while Open Data Kit is
an open-source application. Ushahidi is
commercially available through their
website, however it can also be found as an
open-source application on GitHub. The
commercial version of Ushahidi hosted on
the web was explored in this investigation.
Our five platforms were chosen based on
meeting the following conditions: the
platform enabled crowdsourced
contributions, has a map-based interface, is
web-ready (i.e., no server install required),
and has some free functionality.</p>
        <p>
          Citizen science has been performed
by birders for over a century
          <xref ref-type="bibr" rid="ref13">(Silvertown,
2009)</xref>
          , so we chose to run a mock
ornithology project to streamline the
comparison, ensuring each individual
platform evaluation was consistent and
impartial. However, all the functionality
from each platform was fully explored; the
thoroughness of the comparison was not
limited by the mock ornithology project.
        </p>
        <p>For each platform, we signed up and
started a project called “Calgary Ornithology
Survey”. Once the back-end was set up, we
explored the site’s data collection tools (web
surveys and mobile applications). The final
step was submitting the ornithology dataset</p>
        <sec id="sec-2-1-1">
          <title>Robin</title>
        </sec>
        <sec id="sec-2-1-2">
          <title>Robin</title>
        </sec>
        <sec id="sec-2-1-3">
          <title>Robin</title>
        </sec>
        <sec id="sec-2-1-4">
          <title>Eagle</title>
        </sec>
        <sec id="sec-2-1-5">
          <title>Eagle</title>
        </sec>
        <sec id="sec-2-1-6">
          <title>Chickadee</title>
        </sec>
        <sec id="sec-2-1-7">
          <title>Chickadee</title>
        </sec>
        <sec id="sec-2-1-8">
          <title>Chickadee</title>
        </sec>
        <sec id="sec-2-1-9">
          <title>Chickadee</title>
        </sec>
        <sec id="sec-2-1-10">
          <title>Blue Jay</title>
        </sec>
        <sec id="sec-2-1-11">
          <title>Blue Jay</title>
        </sec>
        <sec id="sec-2-1-12">
          <title>Blue Jay</title>
        </sec>
        <sec id="sec-2-1-13">
          <title>Blue Jay</title>
        </sec>
        <sec id="sec-2-1-14">
          <title>King Fisher</title>
        </sec>
        <sec id="sec-2-1-15">
          <title>King Fisher</title>
        </sec>
        <sec id="sec-2-1-16">
          <title>Parkland</title>
        </sec>
        <sec id="sec-2-1-17">
          <title>Southcentre</title>
        </sec>
        <sec id="sec-2-1-18">
          <title>Chinook Centre</title>
        </sec>
        <sec id="sec-2-1-19">
          <title>Trico Centre for</title>
        </sec>
        <sec id="sec-2-1-20">
          <title>Family Wellness</title>
        </sec>
        <sec id="sec-2-1-21">
          <title>University of</title>
        </sec>
        <sec id="sec-2-1-22">
          <title>Calgary</title>
        </sec>
        <sec id="sec-2-1-23">
          <title>Rocky Ridge YMCA</title>
        </sec>
        <sec id="sec-2-1-24">
          <title>Saddledome</title>
        </sec>
        <sec id="sec-2-1-25">
          <title>Calgary Tower</title>
        </sec>
        <sec id="sec-2-1-26">
          <title>Southern Alberta</title>
        </sec>
        <sec id="sec-2-1-27">
          <title>Institute of</title>
        </sec>
        <sec id="sec-2-1-28">
          <title>Technology</title>
        </sec>
        <sec id="sec-2-1-29">
          <title>Mount Royal</title>
        </sec>
        <sec id="sec-2-1-30">
          <title>University</title>
        </sec>
        <sec id="sec-2-1-31">
          <title>Southland Leisure</title>
        </sec>
        <sec id="sec-2-1-32">
          <title>Centre</title>
        </sec>
        <sec id="sec-2-1-33">
          <title>Market Mall</title>
        </sec>
        <sec id="sec-2-1-34">
          <title>Fairview Arena</title>
        </sec>
        <sec id="sec-2-1-35">
          <title>Cranston Sobeys</title>
        </sec>
        <sec id="sec-2-1-36">
          <title>YYC Airport</title>
        </sec>
      </sec>
      <sec id="sec-2-2">
        <title>2.2 Evaluation Metric</title>
        <p>These investigations followed a
specific evaluation metric that tested the
same features and functionality of each
platform. This evaluation metric was based
on a similar one established by Fast and
Hossain (under review) in their evaluation
of WebGIS platforms and includes the
categories introduced in Table 2.</p>
        <p>
          Citizen science terminology has been
a topic of debate in recent years, with
different groups of individuals deriving
different meanings from the same terms
          <xref ref-type="bibr" rid="ref5">(Eitzel et al., 2017)</xref>
          . This study considers
users and participants as non-professionals
participating in a citizen science program.
Authors and administrators are defined as
from the public interface (the front-end).
The fifteen entries consisted of four types of
birds (Table 1).
the individuals that create and operate the
citizen science project.
        </p>
        <sec id="sec-2-2-1">
          <title>Options to import pre-existing datasets.</title>
        </sec>
        <sec id="sec-2-2-2">
          <title>The ability to edit the collected data.</title>
        </sec>
        <sec id="sec-2-2-3">
          <title>The ability to export the collected data.</title>
        </sec>
        <sec id="sec-2-2-4">
          <title>Specific tools that allow the author to buffer,</title>
          <p>clip and aggregate, amongst others.</p>
        </sec>
        <sec id="sec-2-2-5">
          <title>How the data is displayed on the platform.</title>
        </sec>
        <sec id="sec-2-2-6">
          <title>How a map can be shared and made publicly available.</title>
        </sec>
        <sec id="sec-2-2-7">
          <title>The number of available unique base maps.</title>
        </sec>
        <sec id="sec-2-2-8">
          <title>Default base map options Symbology and labelling Map customization options. options</title>
        </sec>
        <sec id="sec-2-2-9">
          <title>Widget options</title>
        </sec>
        <sec id="sec-2-2-10">
          <title>Availability of customizable software applications.</title>
        </sec>
        <sec id="sec-2-2-11">
          <title>Incurred costs of operation and software downloads.</title>
        </sec>
        <sec id="sec-2-2-12">
          <title>Paid options/Upgraded versions</title>
        </sec>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>3. Results</title>
      <p>The results of the evaluation of the
crowdsourcing platforms are organized by
data input, management, analysis,
visualization, and associated costs. The
components are summarized in Table 3.</p>
      <sec id="sec-3-1">
        <title>3.1 Data Input</title>
        <p>Each platform collects data via
surveys, and only Ushahidi offers data
collection via SMS and email. The data
input types differ for each platform and
Maptionnaire is the only platform that does
not offer a date or time field. This is a
significant downside to the platform since
the date and time fields could be crucial to a
project.</p>
        <p>Ushahidi data can be collected via
the web and Android devices. Maptionnaire
is entirely web-based while Open Data Kit
and GIS Cloud are based on mobile
applications for data collection (although
GIS Cloud apparently does offer web data
collection for their true crowdsourcing
services). The Open Data Kit Collector
application is available for download solely
on Android devices, which
severely limits public access to the survey
and its data. Survey123 is the only platform
to offer web surveys and mobile applications
that support both Android and iOS devices.</p>
      </sec>
      <sec id="sec-3-2">
        <title>3.2 Data Management</title>
        <p>Survey123 and GIS Cloud offer
builtin databases, the others do not. Every
platform save for Open Data Kit allows data
imports (paid option in Ushahidi), with each
platform supporting different file formats.
Data edit and delete options are available in
each platform, however in Maptionnaire
Table 3: Summary of the options provided by each platform.
only the editing of single data points is free.
Survey123 is the only platform that
Evaluation Criteria
Ushahidi</p>
        <p>Maptionnaire</p>
        <p>Survey
123</p>
        <p>Open
Data Kit</p>
        <p>GIS
Cloud
supports the removal of single data entries,
mass deletions, sorting and filtering, and
the editing of single entries. Ushahidi, Open
Data Kit and GIS Cloud have no mass delete
option, and Open Data Kit is the only
platform that does not allow submissions to
be edited. The data export options are
limited. The largest number of supported
formats is five, available in Survey123 and
GIS Cloud.</p>
      </sec>
      <sec id="sec-3-3">
        <title>3.3 Data Analysis</title>
        <p>Data analysis options are available in
Maptionnaire, Survey123 and GIS Cloud,
but are essentially all paid-for services.
Maptionnaire does not allow access to the
survey data without a payment plan,
Survey123 is only accessible with an ESRI
organizational account, and the premium
trial of GIS Cloud’s Map Editor expires after
31 days. Therefore, if the author wishes to
perform any significant analysis on their
data they will likely have to pay. Ushahidi
and Open Data Kit do not offer
geoprocessing tools.</p>
      </sec>
      <sec id="sec-3-4">
        <title>3.4 Data Visualization</title>
        <p>Survey123 offers the most data
visualization options, while Maptionnaire
has no options without payment. Open Data
Kit offers lists, graphs and a map view
(however the map view is watermarked).
Survey 123 (ArcGIS online) and GIS Cloud
have the most symbology options; the
author can make new feature layers, which
allows each feature to be represented by its
own symbol. The option to customize
symbols is available in Maptionnaire,
Survey123 and GIS Cloud. GIS Cloud offers
labeling options as well.</p>
      </sec>
      <sec id="sec-3-5">
        <title>3.5 Associated Costs</title>
        <p>Ushahidi, Maptionnaire and GIS
Cloud require payment for full access to all
their features, although Ushahidi is free for
some endeavors upon discretion of the
platform. Survey123 is not free and requires
an ESRI organizational account with
publisher capabilities, restricting its
accessibility to citizen science projects.
Open Data Kit is advantageous for low or no
budget projects since it has no incurred
costs or upgraded versions requiring a
payment plan. However, Open Data Kit is
the only platform that requires a software
download. This may restrict its use if an
author does not have admin privileges on
the computer they start their project on.
4. Discussion and Conclusion</p>
        <p>We evaluated and compared five
map-based crowdsourcing platforms based
on their ability to facilitate geographic
citizen science endeavors. It is difficult to
highlight a single platform as the best
option, since citizen science projects are not
equally funded and are operated by people
of varying technological expertise. Most
platforms do have incurred costs of
operation, with Survey123 being the most
functional but also expensive option.
Ushahidi, Maptionnaire, GIS Cloud and
Open Data Kit offer alternatives to investing
time and capital into developing an in-house
platform. In particular, the Open Data Kit
open-source software provides a
free-ofcharge option for projects, however its
usage is not as intuitive and user-friendly as
the commercial and paid alternatives. While
these platforms do not offer much public
engagement beyond the crowdsourcing of
data, they are viable options for the
collection, management, and visualization
of citizen generated data.</p>
        <p>Citizen science is helping to break
barriers between scientific processes and
the public; to make science and scientific
enquiry openly available. The tools of citizen
science, specifically web-based participatory
mapping platforms, are enabling the public
to become more involved, not just in the
collection of scientific data, but in the
planning and execution of data collection.
The platforms, discussed here and the
others like them, are excellent options for
those lacking the capital and technical
knowledge to build a data collection,
management and visualization platform
from the ground up. These crowdsourcing
platforms make citizen science project
planning more accessible to the masses by
eliminating the advanced technical skills
required to develop a map-based collection
program. These crowdsourcing platforms
facilitate the front-end and back-end of data
collection allowing individuals to focus on
their data and analyze and share their
results.</p>
        <p>Overall, these platforms make
citizen science more accessible to
nonprofessionals by eliminating the need for the
advanced technical skills and capital
necessary to develop a map-based
crowdsourcing platform. We anticipate a
growing market for these platforms as niche
“amateur” citizen science projects grow.</p>
      </sec>
    </sec>
  </body>
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