Topics A New Model for Managing, Documenting, and Sharing Citizen Science Data.

08:00 EDT 22nd October 2015 | BioPortfolio

Summary of " A New Model for Managing, Documenting, and Sharing Citizen Science Data."

Citizen science projects have the potential to advance science by increasing the volume and variety of data, as well as innovation. Yet this potential has not been fully realized, in part because citizen science data are typically not widely shared and reused. To address this and related challenges, we built (see, a customizable platform that allows users to collect and generate diverse datasets. We hope that will ultimately increase discoverability and confidence in citizen science observations, encouraging scientists to use such data in their own scientific research.


Journal Details

This article was published in the following journal.

Name: PLoS biology
ISSN: 1545-7885
Pages: e1002280


DeepDyve research library

PubMed Articles [25580 Associated PubMed Articles listed on BioPortfolio]

Using Semistructured Surveys to Improve Citizen Science Data for Monitoring Biodiversity.

Biodiversity is being lost at an unprecedented rate, and monitoring is crucial for understanding the causal drivers and assessing solutions. Most biodiversity monitoring data are collected by voluntee...

Potential of Citizen Science for Enhancing Infrastructure Monitoring Data and Decision-Support Models for Local Communities.

Citizen science is a process by which volunteer members of the public, who commonly lack advanced training in science, engage in scientific activities (e.g., data collection) that might otherwise be b...

Producing knowledge by admitting ignorance: Enhancing data quality through an "I don't know" option in citizen science.

The "noisy labeler problem" in crowdsourced data has attracted great attention in recent years, with important ramifications in citizen science, where non-experts must produce high-quality data. Parti...

Citizen science in data and resource-limited areas: A tool to detect long-term ecosystem changes.

Coral reefs are threatened by numerous global and local stressors. In the face of predicted large-scale coral degradation over the coming decades, the importance of long-term monitoring of stress-indu...

Increasing research impact with citizen science: The influence of recruitment strategies on sample diversity.

Despite the fact that citizen engagement in research is widely practised and regarded as one of the keys to maximizing the impact of research and innovation, empirical evidence on the value, potential...

Clinical Trials [4926 Associated Clinical Trials listed on BioPortfolio]

Transforming Robot-mediated Telerehabilitation: Citizen Science for Rehabilitation

The purpose of this study is to advance upper limb RMTR for patients recovering from stroke by empowering them through active science participation. By varying the tasks' features and affo...

Citizen Science to Promote Sustained Physical Activity in Low-Income Communities

While low-income midlife and older adults are disproportionately affected by chronic diseases that can be alleviated by regular physical activity, few physical activity programs have been ...

The Effect of Integrated Leading, Managing and Governing for Result Model on Maternity Health Services

The need for leading people, managing work, and governing organizations never changed over the civilization paths of society. However, people in every pole of the globe observe: over-led a...

Ethical Challenges of Consent in Data Sharing

In recent years, Mahidol Oxford Tropical Medicine Research Unit (MORU) has coordinated some of the largest international studies involving many sites in low-income and hard-to-reach settin...

Validation of Readiband™ Actigraph and Associated Sleep/Wake Classification Algorithms

This pilot study will assess feasibility and to obtain initial estimates of efficacy of Sleep Activity and Task Effectiveness (SAFTE) model, which can accurately estimate the impact of sch...

Medical and Biotech [MESH] Definitions

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

The science and art of collecting, summarizing, and analyzing data that are subject to random variation. The term is also applied to the data themselves and to the summarization of the data.

Works consisting of an announcement or statement of recent or current events of new data and matters of interest in the field of medicine or science. In some publications, such as "Nature" or "Science," the news reports are substantively written and herald medical and scientific data of vital or controversial importance.

Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.

A framework for development and promotion of common data formats and exchange protocols linked in a way that can be read directly by computers. Semantic Web is a platform for sharing and reusing data across application, enterprise, and community boundaries, by linking concepts rather than just documents.

Quick Search


DeepDyve research library

Searches Linking to this Article