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references.bib
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@MISC{Center_for_Open_Science2018-pn,
title = "Preregistration Challenge",
booktitle = "Center for Open Science",
author = "{Center for Open Science}",
year = 2018,
howpublished = "\url{https://cos.io/prereg/}",
note = "Accessed: 2018-5-15"
}
@ARTICLE{Nosek2018-yv,
title = "The preregistration revolution",
author = "Nosek, Brian A and Ebersole, Charles R and DeHaven, Alexander C
and Mellor, David T",
abstract = "Progress in science relies in part on generating hypotheses with
existing observations and testing hypotheses with new
observations. This distinction between postdiction and prediction
is appreciated conceptually but is not respected in practice.
Mistaking generation of postdictions with testing of predictions
reduces the credibility of research findings. However, ordinary
biases in human reasoning, such as hindsight bias, make it hard
to avoid this mistake. An effective solution is to define the
research questions and analysis plan before observing the
research outcomes-a process called preregistration.
Preregistration distinguishes analyses and outcomes that result
from predictions from those that result from postdictions. A
variety of practical strategies are available to make the best
possible use of preregistration in circumstances that fall short
of the ideal application, such as when the data are preexisting.
Services are now available for preregistration across all
disciplines, facilitating a rapid increase in the practice.
Widespread adoption of preregistration will increase
distinctiveness between hypothesis generation and hypothesis
testing and will improve the credibility of research findings.",
journal = "Proc. Natl. Acad. Sci. U. S. A.",
volume = 115,
number = 11,
pages = "2600--2606",
month = mar,
year = 2018,
keywords = "confirmatory analysis; exploratory analysis; methodology; open
science; preregistration",
language = "en"
}
@BOOK{Borgman2015-rh,
title = "Big data, little data, no data: scholarship in the networked
world",
author = "Borgman, Christine L",
publisher = "MIT press",
year = 2015
}
@INPROCEEDINGS{Sobotkova2015-lq,
title = "Arbitrary Offline Data Capture on All of Your Androids:
The {FAIMS} Mobile Platform",
booktitle = "Across Space and Time. Papers from the 41st Annual
Conference of Computer Applications and Quantitative
Methods in Archaeology ({CAA})",
author = "Sobotkova, Adela and Ballsun-Stanton, Brian and Ross,
Shawn and Crook, Penny",
editor = "Traviglia, Arianna",
abstract = "This paper presents three key problems addressed by the
Federated Archaeological Information Management Systems
(FAIMS) project and presented during a Round Table session
at the 2013 CAA. FAIMS is a major Australian digital
infrastructure project established in 2012 to develop open
source eResearch tools to improve archaeological data
management. We first review existing Android GIS
applications and discuss their performance and suitability
for archaeological fieldwork in remote locations, before
presenting the lessons of this review for FAIMS mobile
application development. We then discuss the variety of
Australian archaeological practice, suggesting how
semantically compatible datasets may be produced from
diverse sources at the time of data creation. Finally, we
introduce the data structure underlying our mobile
application, which accommodates a wide range of practices
and data models while promoting syntactic and semantic
dataset compatibility.",
publisher = "Amsterdam University Press",
pages = "80--88",
year = 2015,
keywords = "android dataset compatibility field recording gis mobile"
}