scholarly journals Sharing open science experiences: A conversation on citizen science

2021 ◽  
Author(s):  
Michiel Van Oudheusden ◽  
Huib Huyse ◽  
Jef Van Laer ◽  
Annelies Duerinckx ◽  
Violet Soen
Keyword(s):  
Citizen Science ◽  
Open Science

scholarly journals Innovation in open science, society and policy – setting the agenda for citizen science

2018 ◽  
pp. 1-24 ◽  
Author(s):  
Susanne Hecker ◽  
Muki Haklay ◽  
Anne Bowser ◽  
Zen Makuch ◽  
Johannes Vogel ◽  
...  
Keyword(s):  
Citizen Science ◽  
Open Science ◽  
Science Society ◽  
Policy Setting

scholarly journals TrIAS, leveraging citizen science data to monitor invasive species in Belgium

2018 ◽  
Vol 2 ◽  
pp. e24749
Author(s):  
Quentin Groom ◽  
Tim Adriaens ◽  
Damiano Oldoni ◽  
Lien Reyserhove ◽  
Diederik Strubbe ◽  
...  
Keyword(s):  
Invasive Species ◽  
Alien Species ◽  
Citizen Science ◽  
Invasive Alien Species ◽  
Science Research ◽  
Open Science ◽  
Policy Support ◽  
Science Data ◽  
Common View ◽  
Indispensable Tool

Reducing the damage caused by invasive species requires a community approach informed by rapidly mobilized data. Even if local stakeholders work together, invasive species do not respect borders, and national, continental and global policies are required. Yet, in general, data on invasive species are slow to be mobilized, often of insufficient quality for their intended application and distributed among many stakeholders and their organizations, including scientists, land managers, and citizen scientists. The Belgian situation is typical. We struggle with the fragmentation of data sources and restrictions to data mobility. Nevertheless, there is a common view that the issue of invasive alien species needs to be addressed. In 2017 we launched the Tracking Invasive Alien Species (TrIAS) project, which envisages a future where alien species data are rapidly mobilized, the spread of exotic species is regularly monitored, and potential impacts and risks are rapidly evaluated in support of policy decisions (Vanderhoeven et al. 2017). TrIAS is building a seamless, data-driven workflow, from raw data to policy support documentation. TrIAS brings together 21 different stakeholder organizations that covering all organisms in the terrestrial, freshwater and marine environments. These organizations also include those involved in citizen science, research and wildlife management. TrIAS is an Open Science project and all the software, data and documentation are being shared openly (Groom et al. 2018). This means that the workflow can be reused as a whole or in part, either after the project or in different countries. We hope to prove that rapid data workflows are not only an indispensable tool in the control of invasive species, but also for integrating and motivating the citizens and organizations involved.

scholarly journals Open Science lernen und lehren: FOSTER Portal stellt Materialien und Kurse bereit

2015 ◽  
Vol 66 (2-3) ◽  
Author(s):  
Astrid Orth ◽  
Birgit Schmidt
Keyword(s):  
Open Access ◽  
Citizen Science ◽  
Open Data ◽  
Open Science ◽  
European Research ◽  
Europäische Kommission ◽  
Open Notebook Science ◽  
Science Training

Open Science ist ein relativ junger Begriff, die zugrunde liegende Idee des Teilens von Wissen, Ergebnissen und Methoden ist jedoch so alt ist wie die Wissenschaft selbst. Open Science umfasst neben Open Access und Open Data – dem offenen Zugang zu Veröffentlichungen und Forschungsdaten – auch radikal neue Bereiche wie Citizen Science und Open Notebook Science. Seitdem die Europäische Kommission und andere Forschungsförderer zunehmend Open Access zu Publikationen und Daten in ihre Förderrichtlinien aufnehmen, ist es für Wissenschaftlerinnen und Wissenschaftler unumgänglich geworden, sich mit diesem Thema auseinanderzusetzen. Die Herausforderung bei der Umsetzung dieser Anforderungen ist nicht so sehr die Existenz und Zugänglichkeit relevanter Informationen, sondern die unübersichtliche Fülle an Material. Das von der Europäischen Kommission geförderte Projekt „Facilitating Open Science Training for European Research“ (FOSTER) führt deshalb eine breite Sammlung von Materialien und Kursen zum Thema Open Science zusammen und schafft so eine Lernressource für die europäische Forschungscommunity. Die Inhalte stehen möglichst über offene Lizenzen zur Verfügung, um die Nachnutzung in weiteren Schulungen zu unterstützen. Die Navigation durch die Fülle an Inhalten erfolgt entlang einer Taxonomie oder anhand von zielgruppenspezifischen Lernzielen, die zum Beispiel Projektmanager oder Multiplikatoren wie Bibliothekare adressieren. Der Artikel stellt die aktuellen Ergebnisse des Projektes vor, beleuchtet die Rolle der Niedersächsischen Staats- und Universitätsbibliothek Göttingen im Projekt und gibt einen Ausblick auf die Aktivitäten im zweiten Projektjahr.

The Role of Data Systems to Enable Open Science

2020 ◽  
Author(s):  
Rahul Ramachandran ◽  
Kaylin Bugbee ◽  
Kevin Murphy
Keyword(s):  
Citizen Science ◽  
Research Process ◽  
Open Science ◽  
Scientific Data ◽  
Team Approach ◽  
Data Systems ◽  
Scientific Culture ◽  
Scientific Process ◽  
Scientific Publications ◽  
Research Objects

<p>Open science is a concept that represents a fundamental change in scientific culture. This change is characterized by openness, where research objects and results are shared as soon as possible, and connectivity to a wider audience. Understanding about what Open Science actually means  differs from various stakeholders.</p><p>Thoughts on Open Science fall into four distinct viewpoints. The first viewpoint strives to make science accessible to a larger community by focusing on allowing non-scientists to participate in the research process through citizen science project and by more effectively communicating research results to the broader public. The second viewpoint considers providing equitable knowledge access to everyone by not only considering access to journal publications but also to other objects in the research process such as data and code. The third viewpoint focuses on making both the research process and the communication of results more efficient. There are two aspects to this component which can be described as social and technical components. The social component is driven by the need to tackle complex problems that require collaboration and a team approach to science while the technical component focuses on creating tools, services and especially scientific platforms to make the scientific process more efficient. Lastly, the fourth viewpoint strives to develop new metrics to measure scientific contributions that go beyond the current metrics derived solely from scientific publications and to consider contributions from other research objects such as data, code or knowledge sharing through blogs and other social media communication mechanisms. </p><p>Technological change is a factor in all four of these viewpoints on Open Science. New capabilities in compute, storage, methodologies, publication and sharing enable technologists to better serve as the primary drivers for Open Science by providing more efficient technological solutions. Sharing knowledge, information and other research objects such as data and code has become easier with new modalities of sharing available to researchers. In addition, technology is enabling the democratization of science at two levels. First, researchers are no longer constrained by lack of infrastructure resources needed to tackle difficult problems. Second, the Citizen Science projects now involve the public at different steps of the scientific process from collecting the data to analysis.</p><p>This presentations investigates the four described viewpoints on Open Science from the perspective of any large organization involved in scientific data stewardship and management. The presentation will list possible technological strategies that organizations may adopt to further align with all aspects of the Open Science movement. </p>

scholarly journals EPS and Open Science: an update

2020 ◽  
Vol 51 (1) ◽  
pp. 26-28
Author(s):  
C. Rossel ◽  
L. van Dyck
Keyword(s):  
Open Access ◽  
Citizen Science ◽  
Open Data ◽  
Open Science ◽  
Open Access Publishing ◽  
Policy Makers ◽  
Digital Era ◽  
The Way

The movement towards an Open Science is well engaged and irreversible. It includes Open Access publishing, Open Data and Open Collaborations with several new orientations, among which citizen science. Indeed, in the digital era, the way research is performed, its output shared and published is changing significantly, as are the expectations of policy makers and society at large.

scholarly journals EU-Citizen.Science: A Platform for Mainstreaming Citizen Science and Open Science in Europe

2021 ◽  
Vol 3 (1) ◽  
pp. 136-149
Author(s):  
Katherin Wagenknecht ◽  
Tim Woods ◽  
Francisco García Sanz ◽  
Margaret Gold ◽  
Anne Bowser ◽  
...  
Keyword(s):  
Citizen Science ◽  
Data Model ◽  
Open Science ◽  
Observation Data ◽  
The Public ◽  
Metadata Model ◽  
Training Materials ◽  
Different Types ◽  
And Training ◽  
The Eu

Citizen Science (CS) is a prominent field of application for Open Science (OS), and the two have strong synergies, such as: advocating for the data and metadata generated through science to be made publicly available [ 1 ]; supporting more equitable collaboration between different types of scientists and citizens; and facilitating knowledge transfer to a wider range of audiences [ 2 ]. While primarily targeted at CS, the EU-Citizen. Science platform can also support OS. One of its key functions is to act as a knowledge hub to aggregate, disseminate and promote experience and know-how; for example, by profiling CS projects and collecting tools, resources and training materials relevant to both fields. To do this, the platform has developed an information architecture that incorporates the public participation in scientific research (PPSR)—Common Conceptual Model ① . This model consists of the Project Metadata Model, the Dataset Metadata Model and the Observation Data Model, which were specifically developed for CS initiatives. By implementing these, the platform will strengthen the interoperating arrangements that exist between other, similar platforms (e.g., BioCollect and SciStarter) to ensure that CS and OS continue to grow globally in terms of participants, impact and fields of application.

scholarly journals Scientific Landscape of Citizen Science Publications: Dynamics, Content and Presence in Social Media

Publications ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 12 ◽  
Author(s):  
Núria Bautista-Puig ◽  
Daniela De Filippo ◽  
Elba Mauleón ◽  
Elías Sanz-Casado
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Citizen Science ◽  
Web Of Science ◽  
Open Science ◽  
Scientific Output ◽  
Scientific Culture ◽  
Triple Interaction ◽  
New Knowledge ◽  
The Impact

Citizen science (CS) aims primarily to create a new scientific culture able to improve upon the triple interaction between science, society, and policy in the dual pursuit of more democratic research and decision-making informed by sound evidence. It is both an aim and an enabler of open science (OS), to which it contributes by involving citizens in research and encouraging participation in the generation of new knowledge. This study analyses scientific output on CS using bibliometric techniques and Web of Science (WoS) data. Co-occurrence maps are formulated to define subject clusters as background for an analysis of the impact of each on social media. Four clusters are identified: HEALTH, BIO, GEO and PUBLIC. The profiles for the four clusters are observed to be fairly similar, although BIO and HEALTH are mentioned more frequently in blogposts and tweets and BIO and PUBLIC in Facebook and newsfeeds. The findings also show that output in the area has grown since 2010, with a larger proportion of papers (66%) mentioned in social media than reported in other studies. The percentage of open access documents (30.7%) is likewise higher than the overall mean for all areas.

scholarly journals Is citizen science an open science in the case of biodiversity observations?

2016 ◽  
Vol 54 (2) ◽  
pp. 612-617 ◽  
Author(s):  
Quentin Groom ◽  
Lauren Weatherdon ◽  
Ilse R. Geijzendorffer
Keyword(s):  
Citizen Science ◽  
Open Science

scholarly journals Citizen science to foster innovation in open science, society and policy

2018 ◽  
pp. 465-484 ◽  
Author(s):  
Aletta Bonn ◽  
Susanne Hecker ◽  
Anne Bowser ◽  
Zen Makuch ◽  
Johannes Vogel ◽  
...  
Keyword(s):  
Citizen Science ◽  
Open Science ◽  
Science Society

scholarly journals Awareness, views and experiences of Citizen Science among Swedish researchers — two surveys

2021 ◽  
Vol 20 (06) ◽  
pp. A10
Author(s):  
Pavel Bína ◽  
Fredrik Brounéus ◽  
Dick Kasperowski ◽  
Niclas Hagen ◽  
Martin Bergman ◽  
...  
Keyword(s):  
Data Quality ◽  
Citizen Science ◽  
Research Process ◽  
Open Science ◽  
Agricultural Science ◽  
The Other ◽  
Research Projects ◽  
External Communication ◽  
Research Questions ◽  
The University

In 2021 Sweden’s first national portal for citizen science will be launched to help researchers practice sustainable and responsible citizen science with different societal stakeholders. This paper present findings from two surveys on attitudes and experiences of citizen science among researchers at Swedish universities. Both surveys provided input to the development of the national portal, for which researchers are a key stakeholder group. The first survey (n=636) was exclusively focused on citizen science and involved researchers and other personnel at Swedish University of Agricultural Science (SLU). 63% of respondents at SLU had heard about citizen science (CS) prior to the survey; however a majority of these (61%) had not been involved in any CS initiative themselves. Dominant reasons for researchers choosing a CS approach in projects were to enable collection of large amounts of data (68%), improving the knowledge base (59%), improving data quality (25%), promote participants’ understanding in research (21%) and promote collaboration between the university and society (20%). The other survey (n=3 699) was on the broader topic of communication and open science, including questions on CS, and was distributed to researchers from all Swedish universities. 61% of respondents had not been engaged in any research projects where volunteers were involved in the process. A minority of the researchers had participated in projects were volunteers had collected data (18%), been involved in internal or external communication (16%), contributed project ideas (14%) and/or formulated research questions (11%). Nearly four out of ten respondents (37%) had heard about CS prior to the survey. The researchers were more positive towards having parts of the research process open to citizen observation, rather than open to citizen influence/participation. Our results show that CS is a far from well-known concept among Swedish researchers. And while those who have heard about CS are generally positive towards it, researchers overall are hesitant to invite citizens to take part in the research process.

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