One of the often very time-intensive tasks when running a Citizen Science project is the validation of the gathered data. Is the user-provided information correct? Does the species classification work out? Is the location correct? The complexity of this task grows with the success of a Citizen Science project. When hundreds of new contribution...
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Many Citizen Science and User Engagement projects utilize more than only point data for locations and spatial dimensions. Examples are plentiful - from setting up transects for counting butterflies to recording habitats and transformations. Spatial Data Recording in Citizen Science Apps For that purpose, we have developed a new feature for all Citi...
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Summertime and the living is easy - especially for Citizen Scientists contributing their observations to projects running on the SPOTTERON platform. Excursions and field trips are excellent opportunities to observe nature in all its glory. From the phenological development of indicator plants for projects such as Climate Watch Australia or the ZAMG...
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The new "Data Visualization Overlay" brings interactive data visualizations to all Citizen Science Apps on the SPOTTERON Platform. Significant relationships are illustrated with one click and presented in a visually appealing way.

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As a project partner on the SPOTTERON platform, you can now gently guide the Citizen Scientists contributing to your project to make better, more accurate observations in the Apps, thus making the data you're trying to obtain better and easier to manage.

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In many Citizen Science and community engagement projects, participants may be reluctant to enter any data that may be sensitive, either, e.g. because of contributing an endangered species or for not wanting to share the location of their private garden.

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What is the best way for a Citizen Scientist to observe a specific plant, landscape, place, etc. over a more extended period of time and gather valuable data during its course?

Our world is subject to constant change.
It establishes itself by constant development and evolution, triggered by events like human activity, climate change, erosion, or simply the changing of the seasons, and many more. These changes in observational data are not just a side effect, but they're often the primary focus for scientists and the research project.

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Data quality and data management are essential aspects of Citizen Science. In order to always have a validated and stable data-set of user's contributions that can be managed directly in your Citizen Science app's administration interface present, we have created "Check & Lock".

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It has been six years since we started the first apps on the SPOTTERON platform and what a journey this has been!

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The new SPOTTERON version 2.7 does not only introduce the new Leaderboards (aka User Ranking) for all Citizen Science apps running on the platform, but also 2 more panels with new data statistics.

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We are happy to announce the release of the new SPOTTERON version 2.6.0! The next SPOTTERON Update brings 3 new extension, available for all Citizen Science apps running on the SPOTTERON platform. In the following blog entry we are going to explain these new features and their function.

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The next SPOTTERON Update brings 3 new extension for all Citizen Science apps on the platform. One of the new features are the upcoming "User Roles", part of SPOTTERON's data quality pack.

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We recently added two new feature to SPOTTERONs ever extending 'feature ecosystem'. The two most recent additions 'Top Spots' and 'Meta-Infos' can enhance better data quality and more..

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Last week, the European Parliament’s Legal Affairs Committee (JURI) ignored all advice by data scientists, creators and experts and voted for the Article 13 of the proposed Copyright Directive. This could mean the end of web-based Citizen Science.
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A new feature is ready for use by all Citizen Science projects running on the SPOTTERON platform: Spot Statistics. The observation of change over time plays an important role in many Citizen Science projects, from hydrology, land coverage or phenology. In the CitSci project "Crowdwater", running on SPOTTERON, Citizen Scientist observe the change of water levels in streams and rivers. As an extension to the Citizen Science smartphone apps, we just released a new feature which introduces a new statistic panel in the detail view of a spot.

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We are very happy to announce that a major milestone for the SPOTTERON Citizen Science System has been reached. During the last months, we worked hard to put the underlaying technology on a completly new basis. With SPOTTERON 1.0 we now can provide you with a modern environment, fully specialized for the use in Citizen Science projects and ready for the future of mobile technology.

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Short News

  • Three new papers on the SemantiX project titled "Accessing Multiple Semantic EO Data Cubes in One Graphical User Interface", " Think global, cube local: an Earth Observation Data Cube’s contribution to the Digital Earth vision", and "Semantic Querying in Earth Observation Data Cubes" have been added to the SPOTTERON paper section.

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  • The CrowdWater Citizen Science App running on the SPOTTERON platform has been updated with new options in the Stream Typ category, allowing users to collect info on water quality, clarity, pollution, and more. Additionally, the interactive map is now available with Satellite View. Read more about CrowdWater.

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  • A new paper by our partners from the Roadkill project titled "A dataset of road-killed vertebrates collected via citizen science from 2014–2020" has been added. Find it in the Papers & Publications section!

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