Challenges and Opportunities of Open Data in Ecology

By O. Reichman, Matthew B. Jones, Mark P. Schildhauer. Science, 2011

723 citations recorded by the source corpus.

Subfields: Ecological Modeling, Information Systems, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/cf2dcb37a9cd154e9acdb1b9acc3b9b8d2c579fe

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In Ecological Modeling

In Information Systems

In Information Systems and Management

Citations in the corpus

Influence apart from Adoption: How Interaction between Programming and Scientific Practices Shapes Modes of Inquiry in Four Oceanography Teams (2016, background): “Indeed, open data is a crucial means to integrate and accumulate knowledge [52] in a multidisciplinary environment, particularly one that is “radically unstandardized” [60].”
Visualizing and interacting with large-volume biodiversity data using client-server web-mapping applications: The design and implementation of antmaps.org (2016, neutral): “The information revolution has ushered biology into an era of big data, presenting new challenges and opportunities for data-driven research (Howe et al., 2008; Kelling et al., 2009; Reichman et al., 2011; Marx, 2013; Arts et al., 2014).”
If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology (2013, background): “Another study reported that only an estimated 1% of ecological data are accessible after the results have been published [8].”
From archives to conservation: why historical data are needed to set baselines for marine animals and ecosystems (2012, background): “org), and by researchers themselves (Reichman et al. 2011) should facilitate the”
rfishbase: exploring, manipulating and visualizing FishBase data from R. (2012, background): “With more and more data readily available, informatics is becoming increasingly important in ecology and evolution research (Jones et al., 2006), bringing new opportunities for research (Parr et al., 2011; Michener & Jones, 2012) while also raising new challenges (Reichman et al., 2011).”
Freshwater biomonitoring in the Information Age (2017, neutral): “In contrast to scientists from other disciplines, ecologists have a relatively poor culture of data sharing, despite oppor tunities for making big data more accessible (Reichman et al. 2011; Hampton et al. 2013).”
Advances in global change research require open science by individual researchers (2012, background): “Despite recent progress at the level of institutions and the development of new infrastructure for data archiving (Reichman et al., 2011), access to ecological data is still extremely low (Nelson, 2009), resulting in a grossly impeded pace of research as synthesis projects require extensive emails a”
Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide (2015, background): “The establishment of cooperative data sharing consortia and the use of citable data publication formats may also serve to incentivize data sharing for individual scientists [22,28].”
Surprises and Insights from Long-Term Aquatic Data Sets and Experiments (2012, background): “Proper attribution of data sources, rewards for sharing data, and documentation of the workflows used to process long-term data are all areas that need development (Reichman et al. 2011).”