The Open Knowledge Foundation: Open Data Means Better Science
By Jennifer C Molloy. PLoS Biology, 2011
338 citations recorded by the source corpus.
Open data leads to better science, but overcoming the barriers to widespread publication and availability of open scientific data requires a community effort. The Open Knowledge Foundation Open Data in Science Working Group describes their role in this movement.
Subfields: Information Systems, Information Systems and Management, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f41f3ad8c286a8dc509b2fa42b5febe81bcec9d8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
In Information Systems and Management
In Statistics and Probability
- Bryan G. Cook
- William J. Therrien
- D. Mellor
- Brian A. Nosek
- John Wills Lloyd
- Mahzarin R. Banaji
- A. Greenwald
- J. de Houwer
Citations in the corpus
- Promoting Open Science to Increase the Trustworthiness of Evidence in Special Education (2018, positive): “Sharing research materials and data enables others to (a) understand the original research protocol more completely, (b) check and verify reported analyses, (c) critique and improve the materials and protocols, and (d) reuse the materials or data for replication or other research purposes (Miguel et”
- Socio-technical Impediments of Open Data (2012, neutral): “…entity consolidation difficulty (O'Riain et al., 2012) The reader may not be free to do what they wish with the text or data because of licenses (Molloy, 2011) Users must comply with standard conditions when they want to use the data (Judge, 2010) Database design issues may make it difficult to…”
- Systematic integration of biomedical knowledge prioritizes drugs for repurposing (2017, neutral): “Our goals were to contribute to the advancement of science ( Hrynaszkie-wicz, 2011 ; Molloy, 2011 ), maximize our impact ( McKiernan et al., 2016 ; Piwowar and Vision, 2013 ), and enable reproducibility ( Stodden et al., 2016 ; Stodden and Miguez, 2014 ; Bagg-erly, 2010 ).”
- Maximizing the potential of EEG as a developmental neuroscience tool (2023, unknown): “, 2022; Kujawa and Brooker, 2022; Weisz and Keil, 2022) and the broader movement towards open-science (Foster and Deardorff, 2017; Markiewicz et al., 2021; Molloy, 2011; Munafò et al., 2017), it is our hope that improved access to methodological resources will further accelerate the pace of discover”