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Information practices become highly complex in biodiversity citizen science projects due to the projects’ large scale, distributed setting and vast inclusion of participants. This study aims to contribute to knowledge concerning what variations of information practices can be found in biodiversity citizen science and what these practices may mean for the overall collaborative biodiversity data production in such projects.

Fifteen semi-structured interviews were carried out with participants engaged with the Swedish biodiversity citizen science information system Artportalen. The empirical data were analysed through a practice-theoretical lens investigating information practices in general and variations of practices in particular.

The analysis shows that the nexus of biodiversity citizen science information practices consists of observing, identifying, reporting, collecting, curating and validating species as well as decision-making. Information practices vary depending on participants’ technical know-how; knowledge production and learning; and preservation motivations. The study also found that reporting tools and field guides are significant for the formation of information practices. Competition was found to provide data quantity and knowledge growth but may inflict data bias. Finally, a discrepancy between practices of validating and decision-making have been noted, which could be mitigated by involving intermediary participants for mutual understandings of data.

The study places an empirically grounded information practice-theoretical perspective on citizen science participation, extending previous research seeking to model participant activities. Furthermore, the study nuances previous practice-oriented perspectives on citizen science by emphasising variations of practices.

This action research project determines the extent to which the authors were able to expand ideas of both citizen and scientist through their integrated science and social studies middle childhood methods course.

Applying the ideas of citizen science, students in the course developed inquiry projects of their choice centering on the topic of local and global water issues. In addition, students participated in book groups focusing on the ideas of citizen science explicitly. The researchers used surveys, student assessments and interviews to assess the extent to which students' ideas changed.

While the data reveal the students' conceptions of scientist and citizen both expanded, there was greater change in their conceptions of what it means to be a scientist.

The authors argue that the expansion of ideas of science is important for enacting critical citizenship.

Ongoing environmental threats have intensified the need for firms to take big leaps forward to operate in a manner that is both ecologically sustainable and socially responsible. This paper aims to assess the degree to which firms are adopting citizen science as a tool to achieve sustainability and social responsibility targets.

This study applies a qualitative content analysis approach to assess the current presence of citizen science in sustainability and social responsibility reports issued by Globescan sustainability leaders and by firms ranked by the Fortune 500 and Fortune Global 500.

While the term itself is mostly absent from reports, firms are reporting on a range of activities that could be classified as a form of “citizen science.”

Citizen science can help firms achieve their corporate sustainability and corporate social responsibility goals and targets. Linking sustainability and social responsibility efforts to this existing framework can help triangulate corporate efforts to engage with stakeholders, collect data about the state of the environment and promote better stewardship of natural resources.

Supporting citizen science can help firms work toward meeting UN Sustainable Development Goals, which have highlighted the importance of collaborative efforts that can engage a broad range of stakeholders in the transition to more sustainable business models.

This paper is the first to examine citizen science in a corporate sustainability and social responsibility context. The findings present information to support improvements to the development of locally relevant science-based indicators; real-time monitoring of natural resources and supply chain sustainability; and participatory forums for stakeholders including suppliers, end users and the broader community.

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.

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.

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.

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.

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.

The article applies the citizen science phenomenon – i.e. lay people involvement in research endeavours aimed at pushing forward scientific knowledge – to healthcare. Attention is paid to initiatives intended to tackle the COVID-19 pandemic as an illustrative case to exemplify the contribution of citizen science to system-wide innovation in healthcare.

A mixed methodology consisting of three sequential steps was developed. Firstly, a realist literature review was carried out to contextualize citizen science to healthcare. Then, an account of successfully completed large-scale, online citizen science projects dealing with healthcare and medicine has been conducted in order to obtain preliminary information about distinguishing features of citizen science in healthcare. Thirdly, a broad search of citizen science initiatives targeted to tackling the COVID-19 pandemic has been performed. A comparative case study approach has been undertaken to examine the attributes of such projects and to unravel their peculiarities.

Citizen science enacts the development of a lively healthcare ecosystem, which takes its nourishment from the voluntary contribution of lay people. Citizen scientists play different roles in accomplishing citizen science initiatives, ranging from data collectors to data analysts. Alongside enabling big data management, citizen science contributes to lay people's education and empowerment, soliciting their active involvement in service co-production and value co-creation.

Citizen science is still underexplored in healthcare. Even though further evidence is needed to emphasize the value of lay people's involvement in scientific research applied to healthcare, citizen science is expected to revolutionize the way innovation is pursued and achieved in the healthcare ecosystem. Engaging lay people in a co-creating partnership with expert scientist can help us to address unprecedented health-related challenges and to shape the future of healthcare. Tailored health policy and management interventions are required to empower lay people and to stimulate their active engagement in value co-creation.

Citizen science relies on the wisdom of the crowd to address major issues faced by healthcare organizations. The article comes up with a state of the art investigation of citizen science in healthcare, shedding light on its attributes and envisioning avenues for further development.

The purpose of this paper is to examine how game framing and task framing influence experienced meaningfulness (eudaimonia) and perceived enjoyment (hedonia), which, in turn, can account for user participation behavior in citizen science projects.

The authors designed and implemented a citizen science system, Citizen Sort, and used a survey method to investigate to what extent game framing and task framing influence participation behavior. PLS–SEM was used to test research hypotheses with 76 Citizen Sort participants.

Analysis confirmed that game framing and task framing have a significant impact on perceived enjoyment, but showed that only task framing has a direct effect on experienced meaningfulness. The effects of experienced meaningfulness on participation were fully mediated by perceived enjoyment. Content analysis of qualitative data revealed additional insights.

This research is limited due to its sample size and considered as an exploratory study, in which PLS–SEM was used to identify the impact of game framing and task framing as well as support the theory development regarding the dual nature of citizen science games.

This research provided suggestions for scientists, designers and project initiators that game framing and task framing should be effectively integrated to provide enjoyable and meaningful experiences so as to promote user contribution.

This research is one of initial studies which explored the impact of dual nature of citizen science games. The findings of this study provide the groundwork for guidelines and strategies to facilitate user contribution in citizen science projects.

This paper reports on research into the skills and services required to ensure the sustainability of citizen science as a service in university libraries.

A quantitative research design was adopted to collect data from academic librarians. A questionnaire was administered, and data were analysed using Statistical Package for the Social Sciences (SPSS).

More than 90% of responses indicated that to support citizen science activities, it is important for academic librarians to acquire information literacy, data literacy and an understanding of open science. The study found that citizen science activities require a dedicated team and continuous capacity development of team members. Findings also indicated that though academic librarians do not have knowledge of citizen science, they are willing to embrace and embed it in their services and products. Capacity shortage was listed as a challenge for academic librarians to promote and support citizen science activities.

This study is unique as it reports on the possible involvement of academic librarians in the field of citizen science. The link between academic librarians and the field of citizen science which is predominant in the natural sciences has a positive contribution to the body of scholarship as it promotes interdisciplinarity.

The purpose of this study is to contribute with knowledge about how valid research data in biodiversity citizen science are produced through information practices and how notions of credibility and authority emerge from these practices.

Data were collected through an empirical, interview-based study of the information practices of 15 participants active in the vicinity of the Swedish biodiversity citizen science information system Artportalen. Interview transcripts were analysed abductively and qualitatively through a coding scheme by working back and forth between theory and data. Values of credibility, authority and validity of research data were unfolded through a practice-oriented perspective to library and information studies by utilising the theoretical lens of boundary objects.

Notions of credibility, authority and validity emerge through participant activities of transforming species observations to data, supplementing reports with objects of trust, augmenting identification through authority outreach and assessing credibility via peer monitoring. Credibility, authority and validity of research data are shown to be co-constructed in a distributed fashion by the participants and the information system.

The article extends knowledge about information practices in emerging, heterogeneous scholarly settings by focussing on the complex co-construction of credibility, authority and validity in relation to data production.

Citizen Science – public participation in scientific projects – is becoming a global practice engaging volunteer participants, often non-scientists, with scientific research. Citizen Science is facing major challenges, such as quality and consistency, to reap open the full potential of its outputs and outcomes, including data, software and results. In this context, the principles put forth by Data Science and Open Science domains are essential for alleviating these challenges, which have been addressed at length in these domains. The purpose of this study is to explore the extent to which Citizen Science initiatives capitalise on Data Science and Open Science principles.

The authors analysed 48 Citizen Science projects related to pollution and its effects. They compared each project against a set of Data Science and Open Science indicators, exploring how each project defines, collects, analyses and exploits data to present results and contribute to knowledge.

The results indicate several shortcomings with respect to commonly accepted Data Science principles, including lack of a clear definition of research problems and limited description of data management and analysis processes, and Open Science principles, including lack of the necessary contextual information for reusing project outcomes.

In the light of this analysis, the authors provide a set of guidelines and recommendations for better adoption of Data Science and Open Science principles in Citizen Science projects, and introduce a software tool to support this adoption, with a focus on preparation of data management plans in Citizen Science projects.

This paper aims to analyse a set of converging trends underpinning a larger phenomenon called science 2.0 and to assess what are the most important implications for scientific method and research institutions.

It is based on a triangulation of exploratory methods which include a wide-ranging literature review, Web-based mapping and in-depth interviews with stakeholders.

The main implications of science 2.0 are enhanced efficiency, transparency and reliability; raise of data-driven science; microcontributions on a macroscale; multidimensional, immediate and multiform evaluation of science; disaggregation of the value chain of service providers for scientists; influx of multiple actors and the democratisation of science.

The paper rejects the notion of science 2.0 as the mere adoption of Web 2.0 technologies in science and puts forward an original integrated definition covering three trends that have not yet been analysed together: open science, citizens science and data-intensive science. It argues that these trends are mutually reinforcing and puts forward their main implications. It concludes with the identification of three enablers of science 2.0 – policy measures, individual practice of scientists and new infrastructure and services and sees the main bottleneck in lack of incentives on the individual level.