scholarly journals Advancing in Citizen Science Interoperability by testing standard components between Citizen Observatories

Author(s):  
Joan Masó ◽  
Ester Prat ◽  
Andy Cobley ◽  
Andreas Matheus ◽  
Núria Julià ◽  
...  

<p>The first phase of the citizen science Interoperability Experiment organized by the Interoperability Community of Practice in the EU H2020 WeObserve project under the Open Geospatial Consortium (OGC) innovation program and supported by the four H2020 Citizen Observatories projects (SCENT, GROW, LandSense & GroundTruth 2.0) as well as the EU H2020 NEXTGEOSS project has finalized with the release of an Engineering Report in the OGC website. The activity, initiated by the European Space Agency (ESA), EC Joint Research Center (JRC), the Wilson Center, International Institute for Applied Systems Analysis (IIASA) and CREAF wanted to covered aspects of data sharing architectures for citizen science data, data quality, data definitions and user authentication. </p><p>The final aim is to propose solutions for Citizen Science data to be integrated in the Global Earth Observation System of Systems (GEOSS). The solution is necessarily a combination of technical and networking components, being the first ones the focus of this work. The applications of international geospatial standards in current citizen science and citizen observatory projects to improve interoperability and foster innovation is one of the main tasks in during the experiment to achieve the final aim.</p><p>The main result was to demonstrate that OGC Sensor Observing Service (SOS) standard can be used for citizen science data (as already proposed in the OGC SWE4CS discussion paper) by implementing it in servers that were combined by visualization clients showing Citizen Science observations from different projects together. The adoption of SOS opened new opportunities for creating interoperable components such as a quality assessment tool. In parallel, an authentication server was used to federate three project observers in a single community. Lessons learned will be used to define an architecture for the H2020 COS4Cloud project. The second phase of the Interoperability Experiment has already started and developments and tests will be conducted by participants in the next 9 months. Some open issues identified and document in the Engineering Report will be addressed in the second phase of the experiment, including the use of a Definitions Server and the adoption of the OGC SensorThings API as an alternative to SOS. The second phase will finalize in September 2020 with a presentation in the Munich OGC Technical Committee meeting. The call for participation and additional contributions will remain for the whole duration of the activity</p>

2021 ◽  
Author(s):  
Torill Hamre ◽  
Finn Danielsen ◽  
Michael Køie Poulsen ◽  
Frode Monsen

<p>INTAROS is a Horizon 2020 research and innovation project developing an integrated Arctic Observation System by extending, improving, and unifying existing systems in the different regions of the Arctic. INTAROS integrates distributed repositories hosting data from ocean, atmosphere, cryosphere and land, including scientific, community-based monitoring (CBM) and citizen science (CS) data. Throughout the project, INTAROS has been working closely with several local communities and citizen science programs across the Arctic, to develop strategies and methods for ingestion of data into repositories enabling the communities to maintain and share data. A number of these CBM and CS data collections have been registered in the INTAROS Data Catalogue. Some of these collections are hosted and sustained by large international programs such as PISUNA, eBird, Secchi Disk Study and GLOBE Observer. Registration in the INTAROS Data Catalogue contributes to making these important data collections better known in a wider community of users with a vested interest in the Arctic. It also enables sharing of metadata through open standards for inclusion in other Arctic data systems. This catalogue is a key component in INTAROS, enabling users to search for data across the targeted spheres to assess their usefulness in applications and geographic areas. The catalogue is based on a world-leading system for data management, the Comprehensive Knowledge Archive Network (CKAN). With rich functionality offered out of the box combined with a flexible extension mechanism, CKAN allows for quickly setting up a fully functional data catalogue. The CKAN open-source community offers numerous extensions that can be used as-is or adapted to implement customised functionality for specific user communities. To hold additional metadata elements requested by the partners we modified the standard database schema of CKAN. The presentation will focus on the current capabilities and plans for sustaining and enhancing the INTAROS Data Catalogue.</p>


2019 ◽  
Vol 6 (1) ◽  
pp. 102-111
Author(s):  
Audrey R. Taylor ◽  
Þórný Barðadóttir ◽  
Sarah Auffret ◽  
Annette Bombosch ◽  
Allison Lee Cusick ◽  
...  

Purpose The purpose of this paper is to provide a conceptual framework for using citizen science – defined as a data collection method through which non-professionals engage in contributing to authentic scientific inquiry – within the expedition cruise industry to contribute significantly to the collection of environmental data from hard-to-access Arctic areas. Design/methodology/approach The authors review trends in Arctic expedition cruise tourism and current needs in Arctic research and monitoring, and clarify where the expedition cruise tourism industry could have the most impact by providing data to the scientific community. The authors also compare the regulatory context in the Antarctic to that in the Arctic and discuss how these differences could affect the widespread use of citizen science. At last, the authors describe some general principles for designing citizen science programs to be successful on board, and highlight several existing programs that are being recognized for their contributions to a greater scientific understanding of the Arctic. Findings The authors find that citizen science data from the expedition cruise industry are underutilized as a tool for monitoring Arctic change. Numerous examples illustrate how citizen science programs on-board expedition ships can successfully collect robust scientific data and contribute to enhancing the knowledge and stewardship capacity of cruise passengers. Inclusion of citizen science data from the expedition cruise industry should be considered a critical part of international Arctic observing networks and systems. Social implications Active participation in Arctic citizen science by tourists on expedition cruise ships has many potential benefits beyond the collection of high quality data, from increasing passengers’ knowledge and understanding of the Arctic while on board, to affecting their attitudes and behaviors after they return home. Originality/value The potential for tourism to contribute to Arctic observing systems has been discussed previously in the scientific literature; the authors narrow the focus to citizen science programs in the expedition cruise industry, and provide concrete examples, in the hope that this will streamline acceptance and implementation of these ideas by researchers and tourism practitioners.


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8335
Author(s):  
James R. Robbins ◽  
Lucy Babey ◽  
Clare B. Embling

Background Citizen science is increasingly popular and has the potential to collect extensive datasets at lower costs than traditional surveys conducted by professional scientists. Ferries have been used to collect data on cetacean populations for decades, providing long-term time series for monitoring of cetacean populations. One cetacean species of concern is the common dolphin, which has been found stranded around the north-east Atlantic in recent years, with high numbers on French coasts being attributed to fisheries bycatch. We estimate common dolphin densities in the north-east Atlantic and investigate the ability of citizen science data to identify changes in marine mammal densities and areas of importance. Materials and Methods Data were collected by citizen scientists on ferries between April and October in 2006–2017. Common dolphin sightings data from two ferry routes across three regions, Bay of Biscay (n = 569); south-west United Kingdom to the Isles of Scilly in the Celtic Sea (n = 260); and English Channel (n = 75), were used to estimate density across ferry routes. Two-stage Density Surface Models accounted for imperfect detection, and tested the influence of environmental (chlorophyll a, sea surface temperature, depth, and slope), spatial (latitude and longitude) and temporal terms (year and Julian day) on occurrence. Results Overall detection probability was highest in the areas sampled within the English Channel (0.384) and Bay of Biscay (0.348), and lowest on the Scilly’s route (0.158). Common dolphins were estimated to occur in higher densities on the Scilly’s route (0.400 per km2) and the Bay of Biscay (0.319 per km2), with low densities in the English Channel (0.025 per km2). Densities on the Scilly’s route appear to have been relatively stable since 2006 with a slight decrease in 2017. Densities peaked in the Bay of Biscay in 2013 with lower numbers since. Densities in the English Channel appear to have increased over time since 2009. Discussion This study highlights the effectiveness of citizen science data to investigate the distribution and density of cetaceans. The densities and temporal changes shown by this study are representative of those from wider-ranging robust estimates. We highlight the ability of citizen science to collect data over extensive periods of time which complements dedicated, designed surveys. Such long-term data are important to identify changes within a population; however, citizen science data may, in some situations, present challenges. We provide recommendations to ensure high-quality data which can be used to inform management and conservation of cetacean populations.


2020 ◽  
Author(s):  
Valantis Tsiakos ◽  
Maria Krommyda ◽  
Athanasia Tsertou ◽  
Angelos Amditis

<p>Environmental monitoring is based on time-series of data collected over long periods of time from expensive and hard to maintain in-situ sensors available only in specific areas. Due to the climate change it is important to monitor extended areas of interest. This need has raised the question of whether such monitoring can be complemented or replaced by Citizen Science.</p><p>Crowdsourced measurements from low-cost and easy to use portable sensors and devices can facilitate the collection of the needed information with the support of volunteers, enabling the monitoring of environmental ecosystems and extended areas of interest. In particular, during the last years there has been a rapid increase of citizen-generated knowledge that has been facilitated by the wider use of mobile devices and low-cost portable sensors. To enable their easy integration to existing models and systems as well as their utilisation in the context of new applications, citizen science data should be easily discoverable, re-usable, accessible and available for future use.</p><p>The Global Earth Observation System of Systems (GEOSS) offers a single access point to Earth Observation data (GEOSS Portal), connecting users to various environmental monitoring systems around the world while promoting the use of common technical standards to support their utilisation. </p><p>Such a connection was demonstrated in the context of SCENT project. SCENT is a EU project which has implemented an integrated toolbox of smart collaborative and innovating technologies that allows volunteers to collect environmental measurements as part of their everyday activities.</p><p>These measurements may include images that include information about the land cover and land use of the area, air temperature and soil moisture measurements from low-cost portable environmental sensors or river measurements, water level and water velocity extracted from multimedia, images and video, through dedicated tools.</p><p>The collected measurements are provided to policy makers and scientists to facilitate the decision making regarding needed actions and infrastructure improvements as well as the monitoring of environmental phenomena like floods through the crowdsourced information.</p><p>In order to ensure that the provided measurements are of high quality, a dedicated control mechanism has been implemented that uses a custom mechanism, based on spatial and temporal clustering, to identify biased or low quality contributions and remove them from the system.</p><p>Finally, recognising the importance of making the collected data available all the validated measurements are modelled, stored and provisioned using the Open Geospatial Consortium (OGC) standards Web Feature Service (WFS) and Web Map Service (WMS) as applicable.</p><p>This allows the spatial and temporal discovery of information among the collected measurements, encourages their re-usability and allows their integration to systems and platforms utilizing the same standards. The data collected by the SCENT Campaigns organized at the Kifisos river basin and the Danube Delta can be found at the GEOSS portal under the WFS here https://www.geoportal.org/?f:sources=wfsscentID and under the WMS here https://www.geoportal.org/?f:sources=wmsSCENTID.  </p><p>This activity is showcased as part of WeObserve project that has received funding from the European Union’ s Horizon 2020 research and innovation programme under grant agreement No 776740.</p>


2017 ◽  
Author(s):  
Laura A. Lukes ◽  
◽  
J. Nelson ◽  
K.C. Kerby-Patel ◽  
W.C. Liles ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
◽  

Abstract The European Commission's State of Health in the EU (SoHEU) initiative aims to provide factual, comparative data and insights into health and health systems in EU countries. The resulting Country Health Profiles, published every two years (current editions: November 2019) are the joint work of the European Observatory on Health Systems and Policies and the OECD, in cooperation with the European Commission. They are designed to support the efforts of Member States in their evidence-based policy making and to contribute to health care systems' strengthening. In addition to short syntheses of population health status, determinants of health and the organisation of the health system, the Country Profiles provide an assessment of the health system, looking at its effectiveness, accessibility and resilience. The idea of resilient health systems has been gaining traction among policy makers. The framework developed for the Country Profiles template sets out three dimensions and associated policy strategies and indicators as building blocks for assessing resilience. The framework adopts a broader definition of resilience, covering the ability to respond to extreme shocks as well as measures to address more predictable and chronic health system strains, such as population ageing or multimorbidity. However, the current framework predates the onset of the novel coronavirus pandemic as well as new work on resilience being done by the SoHEU project partners. This workshop aims to present resilience-enhancing strategies and challenges to a wide audience and to explore how using the evidence from the Country Profiles can contribute to strengthening health systems and improving their performance. A brief introduction on the SoHEU initiative will be followed by the main presentation on the analytical framework on resilience used for the Country Profiles. Along with country examples, we will present the wider results of an audit of the most common health system resilience strategies and challenges emerging from the 30 Country Profiles in 2019. A roundtable discussion will follow, incorporating audience contributions online. The Panel will discuss the results on resilience actions from the 2019 Country Profiles evidence, including: Why is resilience important as a practical objective and how is it related to health system strengthening and performance? How can countries use their resilience-related findings to steer national reform efforts? In addition, panellists will outline how lessons learned from country responses to the Covid-19 pandemic and new work on resilience by the Observatory (resilience policy briefs), OECD (2020 Health at a Glance) and the EC (Expert Group on Health Systems Performance Assessment (HSPA) Report on Resilience) can feed in and improve the resilience framework that will be used in the 2021 Country Profiles. Key messages Knowing what makes health systems resilient can improve their performance and ability to meet the current and future needs of their populations. The State of Health in the EU country profiles generate EU-wide evidence on the common resilience challenges facing countries’ health systems and the strategies being employed to address them.


Diversity ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 293
Author(s):  
Sara Souther ◽  
Vincent Randall ◽  
Nanebah Lyndon

Federal land management agencies in the US are tasked with maintaining the ecological integrity of over 2 million km2 of land for myriad public uses. Citizen science, operating at the nexus of science, education, and outreach, offers unique benefits to address socio-ecological questions and problems, and thus may offer novel opportunities to support the complex mission of public land managers. Here, we use a case study of an iNaturalist program, the Tribal Nations Botanical Research Collaborative (TNBRC), to examine the use of citizen science programs in public land management. The TNBRC collected 2030 observations of 34 plant species across the project area, while offering learning opportunities for participants. Using occurrence data, we examined observational trends through time and identified five species with 50 or fewer digital observations to investigate as species of possible conservation concern. We compared predictive outcomes of habitat suitability models built using citizen science data and Forest Inventory and Analysis (FIA) data. Models exhibited high agreement, identifying the same underlying predictors of species occurrence and, 95% of the time, identifying the same pixels as suitable habitat. Actions such as staff training on data use and interpretation could enhance integration of citizen science in Federal land management.


2021 ◽  
Vol 217 (2) ◽  
Author(s):  
Alexander G. Hayes ◽  
P. Corlies ◽  
C. Tate ◽  
M. Barrington ◽  
J. F. Bell ◽  
...  

AbstractThe NASA Perseverance rover Mast Camera Zoom (Mastcam-Z) system is a pair of zoomable, focusable, multi-spectral, and color charge-coupled device (CCD) cameras mounted on top of a 1.7 m Remote Sensing Mast, along with associated electronics and two calibration targets. The cameras contain identical optical assemblies that can range in focal length from 26 mm ($25.5^{\circ }\, \times 19.1^{\circ }\ \mathrm{FOV}$ 25.5 ∘ × 19.1 ∘ FOV ) to 110 mm ($6.2^{\circ } \, \times 4.2^{\circ }\ \mathrm{FOV}$ 6.2 ∘ × 4.2 ∘ FOV ) and will acquire data at pixel scales of 148-540 μm at a range of 2 m and 7.4-27 cm at 1 km. The cameras are mounted on the rover’s mast with a stereo baseline of $24.3\pm 0.1$ 24.3 ± 0.1  cm and a toe-in angle of $1.17\pm 0.03^{\circ }$ 1.17 ± 0.03 ∘ (per camera). Each camera uses a Kodak KAI-2020 CCD with $1600\times 1200$ 1600 × 1200 active pixels and an 8 position filter wheel that contains an IR-cutoff filter for color imaging through the detectors’ Bayer-pattern filters, a neutral density (ND) solar filter for imaging the sun, and 6 narrow-band geology filters (16 total filters). An associated Digital Electronics Assembly provides command data interfaces to the rover, 11-to-8 bit companding, and JPEG compression capabilities. Herein, we describe pre-flight calibration of the Mastcam-Z instrument and characterize its radiometric and geometric behavior. Between April 26$^{th}$ t h and May 9$^{th}$ t h , 2019, ∼45,000 images were acquired during stand-alone calibration at Malin Space Science Systems (MSSS) in San Diego, CA. Additional data were acquired during Assembly Test and Launch Operations (ATLO) at the Jet Propulsion Laboratory and Kennedy Space Center. Results of the radiometric calibration validate a 5% absolute radiometric accuracy when using camera state parameters investigated during testing. When observing using camera state parameters not interrogated during calibration (e.g., non-canonical zoom positions), we conservatively estimate the absolute uncertainty to be $<10\%$ < 10 % . Image quality, measured via the amplitude of the Modulation Transfer Function (MTF) at Nyquist sampling (0.35 line pairs per pixel), shows $\mathrm{MTF}_{\mathit{Nyquist}}=0.26-0.50$ MTF Nyquist = 0.26 − 0.50 across all zoom, focus, and filter positions, exceeding the $>0.2$ > 0.2 design requirement. We discuss lessons learned from calibration and suggest tactical strategies that will optimize the quality of science data acquired during operation at Mars. While most results matched expectations, some surprises were discovered, such as a strong wavelength and temperature dependence on the radiometric coefficients and a scene-dependent dynamic component to the zero-exposure bias frames. Calibration results and derived accuracies were validated using a Geoboard target consisting of well-characterized geologic samples.


Insects ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 683
Author(s):  
Marc Herremans ◽  
Karin Gielen ◽  
Jos Van Kerckhoven ◽  
Pieter Vanormelingen ◽  
Wim Veraghtert ◽  
...  

The peacock butterfly is abundant and widespread in Europe. It is generally believed to be univoltine (one generation per year): adults born in summer overwinter and reappear again in spring to reproduce. However, recent flight patterns in western Europe mostly show three peaks during the year: a first one in spring (overwintering butterflies), a second one in early summer (offspring of the spring generation), and a third one in autumn. It was thus far unclear whether this autumn flight peak was a second new generation or consisted of butterflies flying again in autumn after a summer rest (aestivation). The life cycle of one of Europe’s most common butterflies is therefore still surprisingly inadequately understood. We used hundreds of thousands of observations and thousands of pictures submitted by naturalists from the public to the online portal observation.orgin Belgium and analyzed relations between flight patterns, condition (wear), reproductive cycles, peak abundances, and phenology to clarify the current life history. We demonstrate that peacocks have shifted towards two new generations per year in recent decades. Mass citizen science data in online portals has become increasingly important in tracking the response of biodiversity to rapid environmental changes such as climate change.


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