Data-intensive science applied to broad-scale citizen science.

By Wesley M. Hochachka, Daniel Fink, Rebecca A. Hutchinson, D. Sheldon, Weng-Keen Wong, Steve Kelling. Trends in Ecology & Evolution, 2012

379 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/1715fdc4df6774d95ed63f3feb58fa93a84dbed7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Nick J B Isaac
2. Michael J. O. Pocock
3. Chris D. Preston
4. David Roy
5. Helen E. Roy
6. Daniel Fink
7. Carla P. Gomes
8. Andrea Wiggins

In Ecology

1. Michael J. O. Pocock
2. David Roy
3. Nick J B Isaac
4. Helen E. Roy
5. Chris D. Preston
6. Daniel Fink
7. Johannes Kamp
8. Carla P. Gomes

In Nature and Landscape Conservation

1. Nick J B Isaac
2. Michael J. O. Pocock
3. Chris D. Preston
4. Helen E. Roy
5. David Roy
6. Daniel Fink
7. Carla P. Gomes
8. Steve Kelling

Citations in the corpus

• Bias and information in biological records (2015, background): “However, when collated into large databases, the information encoded in biological records is enormous (Hochachka et al., 2011).”
• The eBird enterprise: An integrated approach to development and application of citizen science (2014, background): “Increasing data quantity while improving data quality Hochachka et al. (2012) showed that maximizing the analytical value of citizen-science data requires striking the right balance between data quantity and data quality.”
• Crowdsourcing for climate and atmospheric sciences: current status and future potential (2015, neutral): “However, some schemes further incentivise people by using rewards (e.g. monetary payment), or by using ‘gamification’ devices such as league tables to appeal to the competitiveness of participants (Hochachka et al. , 2012) 1 .”
• Unstructured citizen science data fail to detect long‐term population declines of common birds in Denmark (2016, background): “Several approaches have been developed to account for some of the bias inherent in unstructured data and extract more reliable information (van Strien et al., 2010; Hochachka et al., 2012; Isaac et al., 2014).”
• The Biological Records Centre: a pioneer of citizen science (2015, background): “ensuring high data quality and making best use of the time of those willing to verify records) but also opportunities (e.g. continuing to increase the volume of data for benefit for scientific research; Hochachka et al., 2012), and with effective use of these data we expect even greater benefits for”