references.bib

@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"
}