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references.bib
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@ARTICLE{Open_Science_Collaboration2015-vf,
title = "{PSYCHOLOGY}. Estimating the reproducibility of psychological
science",
author = "{Open Science Collaboration}",
abstract = "Reproducibility is a defining feature of science, but the extent
to which it characterizes current research is unknown. We
conducted replications of 100 experimental and correlational
studies published in three psychology journals using high-powered
designs and original materials when available. Replication
effects were half the magnitude of original effects, representing
a substantial decline. Ninety-seven percent of original studies
had statistically significant results. Thirty-six percent of
replications had statistically significant results; 47\% of
original effect sizes were in the 95\% confidence interval of the
replication effect size; 39\% of effects were subjectively rated
to have replicated the original result; and if no bias in
original results is assumed, combining original and replication
results left 68\% with statistically significant effects.
Correlational tests suggest that replication success was better
predicted by the strength of original evidence than by
characteristics of the original and replication teams.",
journal = "Science",
volume = 349,
number = 6251,
pages = "aac4716",
month = aug,
year = 2015,
language = "en",
issn = "0036-8075, 1095-9203",
pmid = "26315443",
doi = "10.1126/science.aac4716"
}
@ARTICLE{Prinz2011-za,
title = "Believe it or not: how much can we rely on published data on
potential drug targets?",
author = "Prinz, Florian and Schlange, Thomas and Asadullah, Khusru",
journal = "Nature reviews. Drug discovery",
volume = 10,
number = 9,
pages = "712",
month = aug,
year = 2011,
language = "en",
issn = "1474-1776, 1474-1784",
pmid = "21892149",
doi = "10.1038/nrd3439-c1"
}
@ARTICLE{Jasny2011-bw,
title = "Data replication \& reproducibility. Again, and again, and again
.... Introduction",
author = "Jasny, Barbara R and Chin, Gilbert and Chong, Lisa and Vignieri,
Sacha",
journal = "Science",
volume = 334,
number = 6060,
pages = "1225",
month = dec,
year = 2011,
language = "en",
issn = "0036-8075, 1095-9203",
pmid = "22144612",
doi = "10.1126/science.334.6060.1225"
}
@ARTICLE{McNutt2014-md,
title = "Reproducibility",
author = "McNutt, Marcia",
journal = "Science",
volume = 343,
number = 6168,
pages = "229",
month = jan,
year = 2014,
language = "en",
issn = "0036-8075, 1095-9203",
pmid = "24436391",
doi = "10.1126/science.1250475"
}
@ARTICLE{Munafo2017-bj,
title = "A manifesto for reproducible science",
author = "Munaf{\`o}, Marcus R and Nosek, Brian A and Bishop, Dorothy V M
and Button, Katherine S and Chambers, Christopher D and du Sert,
Nathalie Percie and Simonsohn, Uri and Wagenmakers, Eric-Jan and
Ware, Jennifer J and Ioannidis, John P A",
abstract = "Leading voices in the reproducibility landscape call for the
adoption of measures to optimize key elements of the scientific
process.",
journal = "Nature Human Behaviour",
publisher = "Nature Publishing Group",
volume = 1,
number = 1,
pages = "s41562--016--0021",
month = jan,
year = 2017,
language = "en",
issn = "2397-3374, 2397-3374",
doi = "10.1038/s41562-016-0021"
}
@ARTICLE{Baker2016-cf,
title = "1,500 scientists lift the lid on reproducibility",
author = "Baker, Monya",
journal = "Nature",
volume = 533,
number = 7604,
pages = "452--454",
month = may,
year = 2016,
language = "en",
issn = "0028-0836, 1476-4687",
pmid = "27225100",
doi = "10.1038/533452a"
}
@ARTICLE{Wilkinson2016-mr,
title = "The {FAIR} Guiding Principles for scientific data management and
stewardship",
author = "Wilkinson, Mark D and Dumontier, Michel and Aalbersberg,
Ijsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak,
Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva
Santos, Luiz Bonino and Bourne, Philip E and Bouwman, Jildau and
Brookes, Anthony J and Clark, Tim and Crosas, Merc{\`e} and
Dillo, Ingrid and Dumon, Olivier and Edmunds, Scott and Evelo,
Chris T and Finkers, Richard and Gonzalez-Beltran, Alejandra and
Gray, Alasdair J G and Groth, Paul and Goble, Carole and Grethe,
Jeffrey S and Heringa, Jaap and Hoen, Peter A C 't and Hooft,
Rob and Kuhn, Tobias and Kok, Ruben and Kok, Joost and Lusher,
Scott J and Martone, Maryann E and Mons, Albert and Packer, Abel
L and Persson, Bengt and Rocca-Serra, Philippe and Roos, Marco
and van Schaik, Rene and Sansone, Susanna-Assunta and Schultes,
Erik and Sengstag, Thierry and Slater, Ted and Strawn, George
and Swertz, Morris A and Thompson, Mark and van der Lei, Johan
and van Mulligen, Erik and Velterop, Jan and Waagmeester, Andra
and Wittenburg, Peter and Wolstencroft, Katherine and Zhao, Jun
and Mons, Barend",
abstract = "There is an urgent need to improve the infrastructure supporting
the reuse of scholarly data. A diverse set of
stakeholders---representing academia, industry, funding
agencies, and scholarly publishers---have come together to
design and jointly endorse a concise and measureable set of
principles that we refer to as the FAIR Data Principles.",
journal = "Scientific Data",
publisher = "Nature Publishing Group",
volume = 3,
pages = "160018",
month = mar,
year = 2016,
language = "en",
issn = "2052-4463",
doi = "10.1038/sdata.2016.18"
}
@MISC{Go-fair2017-vs,
title = "{FAIR} Principles - {GO} {FAIR}",
booktitle = "{GO} {FAIR}",
author = "{GO-FAIR}",
abstract = "In 2016, the `FAIR Guiding Principles for scientific data
management and stewardship' were published in Scientific
Data. The authors intended to provide guidelines to improve
the findability, accessibility, interoperability, and reuse
of digital assets. The principles emphasise
machine-actionability (i.e., the capacity of computational
systems to find, access, interoperate, and reuse data with
none or minimal human intervention) because humans
increasingly rely on computational support to deal with data
as a result of the increase in volume, complexity, and
creation speed of data.",
year = 2017,
howpublished = "\url{https://www.go-fair.org/fair-principles/}",
note = "Accessed: 2019-3-29"
}
@ARTICLE{Nosek2015-wm,
title = "Scientific Standards: Promoting an open research culture",
author = "Nosek, B A and Alter, G and Banks, G C and Borsboom, D and
Bowman, S D and Breckler, S J and Buck, S and Chambers, C D and
Chin, G and Christensen, G and Contestabile, M and Dafoe, A and
Eich, E and Freese, J and Glennerster, R and Goroff, D and Green,
D P and Hesse, B and Humphreys, M and Ishiyama, J and Karlan, D
and Kraut, A and Lupia, A and Mabry, P and Madon, T A and
Malhotra, N and Mayo-Wilson, E and McNutt, M and Miguel, E and
Paluck, E Levy and Simonsohn, U and Soderberg, C and Spellman, B
A and Turitto, J and VandenBos, G and Vazire, S and Wagenmakers,
E J and Wilson, R and Yarkoni, T",
journal = "Science",
volume = 348,
number = 6242,
pages = "1422--1425",
month = jun,
year = 2015,
language = "en",
issn = "0036-8075, 1095-9203",
pmid = "26113702",
doi = "10.1126/science.aab2374",
pmc = "PMC4550299"
}
@ARTICLE{Perkel2018-rw,
title = "A toolkit for data transparency takes shape",
author = "Perkel, Jeffrey M",
journal = "Nature",
volume = 560,
number = 7719,
pages = "513--515",
month = aug,
year = 2018,
keywords = "Computational biology and bioinformatics; Computer science;
Research data",
language = "en",
issn = "0028-0836, 1476-4687",
pmid = "30127481",
doi = "10.1038/d41586-018-05990-5"
}
@ARTICLE{Nature2019-ng,
title = "Announcement: {FAIR} data in Earth science",
author = "{Nature}",
abstract = "Nature and Scientific Data are pleased to endorse the Enabling
FAIR Data initiative in the Earth, space and environmental
sciences. Funded by the Laura and John Arnold Foundation, and
convened by the American Geophysical Union in partnership with
the Earth Science Information Partners and the Research Data
Alliance, this initiative brings together a network of
stakeholders who, through advocacy, policies, infrastructure and
services to support data sharing, are working together to
facilitate a shift towards open data becoming the default in the
Earth sciences. As such, from January 2019, we will require that
authors of papers in Earth sciences (and related space and
environmental science fields) make supporting data available to
others through community repositories where available.",
journal = "Nature",
volume = 565,
number = 7738,
pages = "134",
month = jan,
year = 2019,
keywords = "Publishing; Research data",
language = "en",
issn = "0028-0836, 1476-4687",
pmid = "30626957",
doi = "10.1038/d41586-019-00075-3"
}
@ARTICLE{Nature2017-lq,
title = "Announcement: Transparency upgrade for Nature journals",
author = "{Nature}",
abstract = "In 2013, this journal and many of the Nature research journals
announced initiatives aimed at ``reducing our irreproducibility''
(Nature 496, 398; 2013). These included a life-sciences checklist
for authors and editors intended to improve the transparency of
the statistical and methodological aspects of laboratory work,
together with abolition of length limits in online methods
descriptions and greater attention to statistical evaluation.",
journal = "Nature",
volume = 543,
number = 7645,
pages = "288",
month = mar,
year = 2017,
language = "en",
issn = "0028-0836, 1476-4687",
pmid = "28300127",
doi = "10.1038/543288b"
}
@MISC{Ajps2015-ex,
title = "{AJPS} Replication and Verification Policy",
booktitle = "American Journal of Political Science",
author = "{AJPS}",
abstract = "The corresponding author of a manuscript that is accepted for
publication in the American Journal of Political Science must
provide replication materials that are sufficient to enable
interested researchers to reproduce all of the analytic
results that are reported in the text and supporting
materials. The document titled ``American Journal of
Political Science Guidelines for Preparing Replication
Files'' provides useful information about what information is
needed and how it should be organized. All replication files
must be stored in a Dataset within the AJPS Dataverse, on the
Harvard Dataverse Network. Note that authors also can make
their replication files available elsewhere (e.g., their
personal website, other data repositories, etc.) as long as
all of the necessary files are included in the Dataset on the
AJPS Dataverse.",
month = sep,
year = 2015,
howpublished = "\url{https://ajps.org/ajps-replication-policy/}",
note = "Accessed: 2019-4-15"
}
@MISC{Jacoby2017-lw,
title = "Should Journals Be Responsible for Reproducibility?",
booktitle = "Inside Higher Ed",
author = "Jacoby, William G and Lafferty-Hess, Sophia and Christian,
Thu-Mai",
abstract = "One of the top journals in political science makes
data-sharing and replication part of the publication process.",
month = jul,
year = 2017,
howpublished = "\url{https://www.insidehighered.com/blogs/rethinking-research/should-journals-be-responsible-reproducibility}",
note = "Accessed: 2019-4-15"
}
@ARTICLE{Begley2012-xt,
title = "Drug development: Raise standards for preclinical cancer research",
author = "Begley, C Glenn and Ellis, Lee M",
journal = "Nature",
volume = 483,
number = 7391,
pages = "531--533",
month = mar,
year = 2012,
language = "en",
issn = "0028-0836, 1476-4687",
pmid = "22460880",
doi = "10.1038/483531a"
}
@MISC{Van_Edig2018-bu,
title = "Copernicus Publications - Data policy",
booktitle = "Copernicus Publications",
author = "van Edig, Xenia",
abstract = "Scholars should receive credit and recognition for producing
data, developing new techniques and algorithms, providing key
samples, and generating other non-textual research assets. In
order to facilitate this, data (and other materials
underpinning the findings presented in your publication)
should be findable, accessible, interoperable, and reusable
(FAIR) -- not only for humans, but also for machines.
According to these principles, data should, at the very
least, have unique and persistent identifiers and appropriate
metadata to assist discovery and be cited in a form
equivalent to other scholarly outputs. Therefore, you are
requested to make research outputs FAIR and, whenever
possible, open by depositing research outputs (e.g. data,
software, physical sample information) in trustworthy,
community-accepted, FAIR-aligned repositories that support
the following: - documentation of data (and other research
outputs whenever possible) in accordance with agreed
community standards that describe provenance and enable
discovery, assessment of reliability, and reuse; - persistent
identifiers for data (and other research outputs whenever
possible) and consistently using these in citations; -
licences for data (and other research outputs whenever
possible) that are as open as possible to enable the widest
potential reuse. You can find a suitable repository for your
data and other research outputs here:
https://www.re3data.org/. Furthermore, you are requested to
cite data, software, physical samples, and other products
created or reused for your research in your publications. A
data citation in a publication resembles a bibliographic
citation and needs to be included in the publication's
reference list. Please also note that you are obliged to
include a data availability statement in your manuscript to
make it clear where the data (and other research outputs
whenever possible) can be accessed, including information on
how to access the data. For more information, please see our
data policy
(https://publications.copernicus.org/services/data\_policy.html)
and author guidelines
(https://publications.copernicus.org/for\_authors/services\_for\_authors).
Learn more about the Commitment Statement in the Earth,
Space, and Environmental Sciences here:
http://www.copdess.org/enabling-fair-data-project/commitment-to-enabling-fair-data-in-the-earth-space-and-environmental-sciences/",
year = 2018,
howpublished = "\url{https://publications.copernicus.org/services/data_policy.html}",
note = "Accessed: 2019-3-29"
}
@MISC{Mellor2018-bf,
title = "The Landscape of Open Data Policies",
author = "Mellor, David",
abstract = "Transparency is essential for scientific progress. Access to
underlying data and materials allows us to make progress
through new discoveries and to better evaluate reported
findings, which increases trust in science. However, there
are challenges to changing norms of scientific practice.
Culture change is a slow process because of inertia and the
fear of unintended consequences. One barrier to change that
we encounter as we advocate to journals for more data sharing
is an editor's uncertainty about how their publisher will
react to such a change. Will they help implement that policy?
Will they discourage it because of uncertainty about how it
might affect submission numbers or citation rates? With
uncertainty, inaction seems to be easier. One way for a
publisher to overcome that barrier for individual journals is
to establish data sharing policies that are available to all
of their journals. That directly signals that the publisher
will be ready to support editorial policy change. In fact,
2017-2018 saw most major publishers doing just that. This has
resulted in a significant number of journals now having
policies that can increase transparency. The Transparency and
Openness Promotion (TOP) Guidelines provide guidance and
template language to use in author instructions. Publishers
that adopt TOP policies or their equivalent signal support
for any of these actions.",
month = nov,
year = 2018,
howpublished = "\url{https://cos.io/blog/landscape-open-data-policies/}",
note = "Accessed: 2019-4-15"
}
@ARTICLE{Marwick2017-bz,
title = "Computational Reproducibility in Archaeological Research: Basic
Principles and a Case Study of Their Implementation",
author = "Marwick, Ben",
abstract = "The use of computers and complex software is pervasive in
archaeology, yet their role in the analytical pipeline is rarely
exposed for other researchers to inspect or reuse. This limits
the progress of archaeology because researchers cannot easily
reproduce each other's work to verify or extend it. Four general
principles of reproducible research that have emerged in other
fields are presented. An archaeological case study is described
that shows how each principle can be implemented using freely
available software. The costs and benefits of implementing
reproducible research are assessed. The primary benefit, of
sharing data in particular, is increased impact via an increased
number of citations. The primary cost is the additional time
required to enhance reproducibility, although the exact amount
is difficult to quantify.",
journal = "Journal of Archaeological Method and Theory",
publisher = "Springer US",
volume = 24,
number = 2,
pages = "424--450",
month = jun,
year = 2017,
language = "en",
issn = "1072-5369, 1573-7764",
doi = "10.1007/s10816-015-9272-9"
}
@ARTICLE{Ballsun-Stanton2018-zd,
title = "{FAIMS} Mobile: Flexible, open-source software for field
research",
author = "Ballsun-Stanton, Brian and Ross, Shawn A and Sobotkova, Adela
and Crook, Penny",
abstract = "FAIMS Mobile is a native Android application supported by an
Ubuntu server facilitating human-mediated field research
across disciplines. It consists of `core' Java and Ruby
software providing a platform for data capture, which can be
deeply customised using `definition packets' consisting of XML
documents (data schema and UI) and Beanshell scripts
(automation). Definition packets can also be generated using
an XML-based domain-specific language, making customisation
easier. FAIMS Mobile includes features allowing rich and
efficient data capture tailored to the needs of fieldwork. It
also promotes synthetic research and improves transparency and
reproducibility through the production of comprehensive
datasets that can be mapped to vocabularies or ontologies as
they are created.",
journal = "SoftwareX",
volume = "7C",
pages = "47--52",
month = jan,
year = 2018,
issn = "2352-7110",
doi = "10.1016/j.softx.2017.12.006",
original_id = "cab35536-343e-0e53-99b8-d7f3a4b78d1d"
}
@BOOK{Borgman2015-rh,
title = "Big data, little data, no data: scholarship in the networked
world",
author = "Borgman, Christine L",
publisher = "MIT press",
year = 2015,
original_id = "5135ab06-ab5e-06bb-b5e9-f4c320aae81a"
}
@ARTICLE{Stewart_Lowndes2017-lj,
title = "Our path to better science in less time using open data science
tools",
author = "Stewart Lowndes, Julia S and Best, Benjamin D and Scarborough,
Courtney and Afflerbach, Jamie C and Frazier, Melanie R and
O'Hara, Casey C and Jiang, Ning and Halpern, Benjamin S",
abstract = "Reproducibility starts with having a transparent and streamlined
workflow. Here, the authors describe how they achieved this
using open data tools for the collaborative Ocean Health Index
project.",
journal = "Nature Ecology \& Evolution",
publisher = "Nature Publishing Group",
volume = 1,
number = 6,
pages = "s41559--017--0160",
month = may,
year = 2017,
language = "en",
issn = "2397-334X, 2397-334X",
doi = "10.1038/s41559-017-0160"
}
@ARTICLE{Kintigh2014-ub,
title = "Grand challenges for archaeology",
author = "Kintigh, Keith W and Altschul, Jeffrey H and Beaudry, Mary C and
Drennan, Robert D and Kinzig, Ann P and Kohler, Timothy A and
Limp, W Fredrick and Maschner, Herbert D G and Michener, William
K and Pauketat, Timothy R and Peregrine, Peter and Sabloff,
Jeremy A and Wilkinson, Tony J and Wright, Henry T and Zeder,
Melinda A",
journal = "Proceedings of the National Academy of Sciences of the United
States of America",
volume = 111,
number = 3,
pages = "879--880",
month = jan,
year = 2014,
language = "en",
issn = "0027-8424, 1091-6490",
pmid = "24449827",
doi = "10.1073/pnas.1324000111",
pmc = "PMC3903258"
}
@ARTICLE{Roosevelt2015-kd,
title = "Excavation is Destruction Digitization: Advances in
Archaeological Practice",
author = "Roosevelt, Christopher H and Cobb, Peter and Moss, Emanuel and
Olson, Brandon R and {\"U}nl{\"u}soy, Sinan",
abstract = "AbstractThis article modifies an old archaeological
adage??excavation is destruction??to demonstrate how advances in
archaeological practice suggest a new iteration: ?excavation is
digitization.? Digitization, in a fully digital paradigm, refers
to practices that leverage advances in onsite, image-based
modeling and volumetric recording, integrated databases, and
data sharing. Such practices were implemented in 2014 during the
inaugural season of the Kaymak{\c c}? Archaeological Project
(KAP) in western Turkey. The KAP recording system, developed
from inception before excavation as a digital workflow,
increases accuracy and efficiency as well as simplicity and
consistency. The system also encourages both practical and
conceptual advances in archaeological practice. These involve
benefits associated with thinking volumetrically, rather than in
two dimensions, and a connectivity that allows for group
decision-making regardless of group location. Additionally, it
is hoped that the system's use of almost entirely
?off-the-shelf? solutions will encourage its adoption or at
least its imitation by other projects.",
journal = "Journal of Field Archaeology",
publisher = "Routledge",
volume = 40,
number = 3,
pages = "325--346",
month = jun,
year = 2015,
issn = "0093-4690",
doi = "10.1179/2042458215Y.0000000004"
}
@ARTICLE{Sobotkova2018-al,
title = "Sociotechnical Obstacles to Archaeological Data Reuse",
author = "Sobotkova, Adela",
abstract = "The ease of digital data capture and the proliferation of
concepts such as the ``data deluge'' suggest that modern
researchers are drowning in datasets. Yet citations of
archaeological datasets are few and far between, pointing to low
rates of data reuse. This article explores the difficulties that
surround data reuse in large-scale regional research, including
the cost and coordination necessary to extract useful data from
digitized PDF reports. The amount of correction and enhancement
matches the effort needed to undertake a small field survey
project and can only be circumvented with a thoughtful
application of computer-assisted text analysis. Missing data in
excavation report PDFs are not only intractable but also
insidious due to their concealed nature, leading to poor
outcomes in terms of (re)use. Consequently, the degree of data
reuse in archaeology has been overestimated.",
journal = "Advances in Archaeological Practice",
publisher = "Cambridge University Press",
volume = 6,
number = 2,
pages = "117--124",
month = may,
year = 2018,
issn = "2326-3768",
doi = "10.1017/aap.2017.37"
}
@ARTICLE{VanValkenburgh2018-hv,
title = "Mobilization as Mediation: Implementing a {Tablet-Based}
Recording System for Ceramic Classification",
author = "VanValkenburgh, Parker and Silva, Luiza O G and Repetti-Ludlow,
Chiara and Gardner, Jake and Crook, Jackson and Ballsun-Stanton,
Brian",
journal = "Advances in Archaeological Practice",
publisher = "Cambridge University Press",
pages = "1--15",
year = 2018,
doi = "10.1017/aap.2018.12"
}
@INCOLLECTION{Ross2015-ph,
title = "Building the Bazaar: Enhancing Archaeological Field Recording
Through an Open Source Approach",
booktitle = "Open Source Archaeology: Ethics and Practice",
author = "Ross, Shawn Adrian and Ballsun-Stanton, Brian and Sobotkova,
Adela and Crook, Penny",
editor = "Wilson, Andrew T and Edwards, Ben",
abstract = "This chapter summarises the experience acquired by the
Federated Archaeological Information Management Systems
(FAIMS) project over the course of developing open-source
software for archaeologists. open-source software development,
which excels at coordinating discrete contributions from many
people and organisations, ooers the best hope for producing
complex and expensive tools in a discipline where resources
are limited. Over the course of this project, we have come to
realise that open-source approaches have applications in
archaeological research beyond the development of software
itself. The development of redeployable eld recording systems,
which must be exible and robust in order to accommodate the
diversity of archaeological data, represent one such
application. FAIMS project software facilitates this type of
development by separating the (large and complicated)
application code from the (relatively simple and largely
human-readable) document les that customise the application
for use by a particular project. Distributed version control
systems like GitHub, which are already being used for texts
and documents beyond code, provide a capable platform for
coordinating peer production of these deenition documents.
FAIMS has used GitHub successfully for its internal
development of early-adopter eld projects over the last year,
demonstrating its potential. Just as open-source approaches
have improved software by bringing the insights of an entire
community to bear on diicult problems, eld recording
systems-as well as the methods and approaches they embody also
beneet from the transparency provided by wide distribution and
collaboration facilitated by version control systems.",
publisher = "De Gruyter Open",
pages = "111--129",
month = jan,
year = 2015,
address = "Warsaw, Poland",
isbn = "9783110440171",
doi = "10.1515/9783110440171-009",
original_id = "5b2b5a7c-94d7-0437-ad3f-578dbfc6077e"
}
@ARTICLE{Ross2013-hi,
title = "Creating eresearch Tools For Archaeologists: The Federated
Archaeological Information Management Systems Project",
author = "Ross, Shawn Adrian and Sobotkova, Adela and Ballsun-Stanton,
Brian and Crook, Penny",
abstract = "AbstractIn this article, the Federated Archaeological
Information Management Systems (FAIMS) project presents its
stocktaking activities and software development towards the
creation of a comprehensive digital infrastructure for
archaeologists. A National eResearch Collaboration Tools and
Resources (NeCTAR)-funded initiative, the FAIMS project aims
to develop tools to facilitate the creation, sharing, reuse
and dissemination of high-quality digital datasets for
research and cultural heritage management. FAIMS has engaged
in an extensive stocktaking and liaison programme with
archaeologists and related professionals, the results of which
have shaped the development plans. Project development is
focusing on highly customisable mobile applications for data
collection, a web application for data processing, and an
online repository for archiving and disseminating data, with
provisions for creating semantically and technically
compatible datasets embedded throughout. Data exchange using
standard formats and approaches ensures that components work
well together, and that new, externally developed tools can be
added later. Our goal is to create a digital system that
respects the current workflow of archaeological practice,
improves the availability of compatible archaeological data,
and delivers features that archaeologists want to use.",
journal = "Australian Archaeology",
volume = 77,
number = 1,
pages = "107--119",
year = 2013,
eprint = "http://www.tandfonline.com/doi/pdf/10.1080/03122417.2013.11681983",
issn = "0312-2417",
doi = "10.1080/03122417.2013.11681983",
original_id = "a0c453f4-ed84-0ac0-a686-0e7976ca5e42"
}
@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",
conference = "41st Annual Conference of Computer Applications and
Quantitative Methods in Archaeology (CAA)",
location = "Perth, Australia",
original_id = "545ee3ae-7acb-097b-9ee1-182b1c2d4aab"
}
@INCOLLECTION{Sobotkova2016-mx,
title = "Measure Twice, Cut Once: Cooperative Deployment of a
Generalized, {Archaeology-Specific} Field Data Collection
System",
booktitle = "Mobilizing the Past for a Digital Future: The Potential of
Digital Archaeology",
author = "Sobotkova, Adela and Ross, Shawn A and Ballsun-Stanton, Brian
and Fairbairn, Andrew and Thompson, Jessica and
VanValkenburgh, Parker",
editor = "Averett, Erin Walcek and Gordon, Jody Michael and Counts,
Derek B",
abstract = "The Federated Archaeological Information Management Systems
(FAIMS) Project is an Australian, university-based initiative
developing a generalized, open-source mobile data collection
platform that can be customized for diverse archaeological
activities. Three field directors report their experiences
adapting FAIMS software to projects in Turkey, Malawi, and
Peru, highlighting three themes: (1) the transition from paper
to digital recording has upfront costs with backend pay-off,
(2) the transition involves decisions and tradeoffs that
archaeologists and technologists need to make together, and
(3) digital recording has both short- and long-term benefits.
In the short-term, project directors reported efficient
acquisition of richer, more accurate, data. Longer-term, they
anticipated that the availability of comprehensive,
born-digital datasets would support rigorous demonstration of
field intuitions and faster publication of more complete
datasets. We argue that cooperative development involving
archaeologists and technologists can produce high-quality,
fit-for-purpose software, representing the best chance to
embedding new technology in established projects.",
publisher = "The Digital Press @ University of North Dakota",
pages = "337--371",
month = oct,
year = 2016,
address = "Grand Forks, ND",
isbn = "9780692790137",
original_id = "956c7cd3-4977-029a-9e5a-ae71845e1d38"
}
@MISC{Osf2014-pf,
title = "Sample Implementation of Guidelines for Transparency and
Openness Promotion ({TOP)in} Journal Policies and Practices
(Version 1.0.2)",
booktitle = "Open Science Framework",
author = "{OSF}",
abstract = "The following sample implementation of TOP Guidelines
illustrates adoption of Level 2 forCitation Standards, Data,
Analytic, Methods, and Materials transparency, and Design
andAnalysis transparency, and Level 1 for Preregistration and
Replication. Note that Data, AnalyticMethods, and Materials
are easily condensed into a single description because the
same levelis applied to all three. Likewise, Preregistration
of Studies and Preregistration of Analysis Plansare combined
into a single description because they are the same level.
Total document lengthfor all 8 standards is about 2 pages.",
publisher = "OSF",
month = aug,
year = 2014,
howpublished = "\url{https://osf.io/edtxm/}",
note = "Accessed: 2019-4-20",
keywords = "author guidelines; journals; reproducibility; Project",
language = "en"
}
@ARTICLE{Muthukrishna2019-kt,
title = "A problem in theory",
author = "Muthukrishna, Michael and Henrich, Joseph",
abstract = "The replication crisis facing the psychological sciences is
widely regarded as rooted in methodological or statistical
shortcomings. We argue that a large part of the problem is the
lack of a cumulative theoretical framework or frameworks. Without
an overarching theoretical framework that generates hypotheses
across diverse domains, empirical programs spawn and grow from
personal intuitions and culturally biased folk theories. By
providing ways to develop clear predictions, including through
the use of formal modelling, theoretical frameworks set
expectations that determine whether a new finding is
confirmatory, nicely integrating with existing lines of research,
or surprising, and therefore requiring further replication and
scrutiny. Such frameworks also prioritize certain research foci,
motivate the use diverse empirical approaches and, often, provide
a natural means to integrate across the sciences. Thus,
overarching theoretical frameworks pave the way toward a more
general theory of human behaviour. We illustrate one such a
theoretical framework: dual inheritance theory.",
journal = "Nature human behaviour",
volume = 3,
number = 3,
pages = "221--229",
month = mar,
year = 2019,
language = "en",
issn = "2397-3374",
pmid = "30953018",
doi = "10.1038/s41562-018-0522-1"
}
@INCOLLECTION{Hole1973-cy,
title = "Questions of theory in the explanation of culture change in
prehistory",
booktitle = "The Explanation of Culture Change: Models in Prehistory",
author = "Hole, Frank",
editor = "Renfrew, Colin",
abstract = "Change, a phenomenon readily recognized in human history, has
intrigued scholars in numerous disciplines for many years. In
view of this interest it is useful now to assess current
archaeological theories of change. In my view, our theory on
change is weak because we have not made necessary operational
definitions of important concepts in terms of the properties of
the phenomena under discussion and the goes we wish to achieve.
If we recognize these weaknesses we can remedy them by devising
and implementing well-defined experiments or observational
studies. The title of this seminar contains five crucial
concepts: explanation, prehistory, culture, change and models.
The remarks that follow consider each concept in turn.",
publisher = "Duckworth",
pages = "19--34",
year = 1973,
isbn = "9780715606735"
}
@MISC{Alveo2019-tk,
title = "Alveo: A Virtual Lab for Human Communication Science",
booktitle = "Alveo",
author = "{Alveo}",
abstract = "Alveo provides on-line infrastructure for accessing human
communication data sets (speech, texts, music, video, etc.)
and for using specialised tools for searching, analysing and
annotating that data.",
year = 2019,
howpublished = "\url{http://alveo.edu.au/}",
note = "Accessed: 2019-4-24"
}
@MISC{Strategyzer_AG2019-uu,
title = "Strategyzer | Trusted by over 5 million business
practitioners",
booktitle = "Strategyzer",
author = "{Strategyzer AG}",
abstract = "Enterprises and smaller companies use our platform and
services to more clearly understand customers, create better
products, and grow businesses.",
year = 2019,
howpublished = "\url{https://www.strategyzer.com/}",
note = "Accessed: 2019-4-24"
}
@MISC{Bureau_of_Reclamation2017-xl,
title = "{DataApp}: A Mobile App Framework for Field Data Capture",
booktitle = "Bureau of Reclamation Research and Development Office",
author = "{Bureau of Reclamation}",
abstract = "Data collection is fundamental to water and environmental
management. Streamflows, reservoir elevations, and flows in
canals and conduits, for example, are continuously monitored
to support decisions ranging from real-time operations to
long-term planning. Data are routinely collected to monitor
infrastructure conditions and identify maintenance
priorities, and a wide range of environmental data are
collected to characterize habitat conditions, monitor fish
and wildlife populations, and support ecosystem restoration
programs. Scientists, engineers, and technicians are
increasingly using mobile devices such as tablets and
smartphones to record measurements, document site locations
via GPS, and take photos and notes in the field. Numerous
apps are already available to support general data
collection; however, these apps do not provide the
functionality and flexibility needed to support the broad
range of water and environmental monitoring needs. For
example, most existing apps are unable to interface with
field instruments (e.g., sensors and data loggers), and many
have limited options for exporting data. Development of a
flexible, extensible, and open source data collection app
framework for mobile devices will facilitate the use of
mobile devices for field data collection, which in turn will
improve data collection efficiency, lower data collection
costs, and improve data quality, transparency, and
dissemination for applications to management, decision
making, and scientific discovery.",
year = 2017,
howpublished = "\url{https://www.usbr.gov/research/challenges/dataapp.html}",
note = "Accessed: 2018-3-27"
}
@MISC{Ala2019-cb,
title = "{BioCollect}: Advanced data collection for biodiversity
projects",
booktitle = "Atlas of Living Australia",
author = "{ALA}",
abstract = "BioCollect is a sophisticated, yet simple to use tool
developed by the Atlas of Living Australia (ALA) in
collaboration with over 100 organisations which are actively
involved in field data capture. It has been developed to
support the needs of scientists, ecologists, citizen
scientists and natural resource managers in the
field-collection and management of biodiversity, ecological
and natural resource management (NRM) data. The tool is
developed and hosted by the ALA and is free for public use.",
year = 2019,
howpublished = "\url{https://www.ala.org.au/biocollect/}",
note = "Accessed: 2019-4-24"
}
@MISC{Tern2019-sp,
title = "{TERN} - Terrestrial Ecosystem Research Network",
booktitle = "{TERN} - Terrestrial Ecosystem Research Network",
author = "{TERN}",
year = 2019,
howpublished = "\url{https://www.tern.org.au/}",
note = "Accessed: 2019-4-24"
}
@MISC{Ala2019-by,
title = "Atlas of Living Australia",
booktitle = "Atlas of Living Australia",
author = "{ALA}",
abstract = "The Atlas of Living Australia is a collaborative, national
project that aggregates biodiversity data from multiple
sources and makes it freely available and usable online.",
year = 2019,
howpublished = "\url{https://www.ala.org.au/}",
note = "Accessed: 2019-4-24"
}
@MISC{Jisc2018-gx,
title = "Research Data Management Toolkit",
booktitle = "{JISC}",
author = "{JISC}",
year = 2018,
url = "https://rdmtoolkit.jisc.ac.uk/research-data-lifecycle/",
howpublished = "\url{https://rdmtoolkit.jisc.ac.uk/research-data-lifecycle/}",
note = "Accessed: 2018-11-6"
}
@MISC{Cos2019-mr,
title = "{TOP} Guidelines",
booktitle = "Center for Open Science",
author = "{COS}",
abstract = "The TOP Guidelines were created by journals, funders, and
societies to align scientific ideals with practices. TOP
provides a suite of tools to guide implementation of better,
more transparent research.",
year = 2019,
howpublished = "\url{https://cos.io/our-services/top-guidelines/}",
note = "Accessed: 2019-4-25"
}
@ARTICLE{Vines2014-zr,
title = "The availability of research data declines rapidly with article
age",
author = "Vines, Timothy H and Albert, Arianne Y K and Andrew, Rose L and
D{\'e}barre, Florence and Bock, Dan G and Franklin, Michelle T
and Gilbert, Kimberly J and Moore, Jean-S{\'e}bastien and Renaut,