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Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation
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“Together with the site database, we present a fully replicable computational model (Marwick 2017) that adds environmental conditions into the network of material distribution to explain potential movement and transportation corridors as well as predict potential site locations across Northern Africa, the Iberian Peninsula, and Italy.”
From Modelling land and water based movement corridors in the western Mediterranean: a least cost path analysis from chalcolithic and early bronze age ivory records (2024) · cites this paper as Marwick 2017
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ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Promoting an open research culture
Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., Buck, S., Chambers, C. D., Chin, G., Christensen, G., et al. (2015) · Science · doi:10.1126/science.aab2374 · Cited by 2,708
Reproducible research in computational science
Peng, R. D. (2011) · Science · doi:10.1126/science.1213847 · Cited by 1,449
Sharing Detailed Research Data Is Associated with Increased Citation Rate
Piwowar, H. A., Day, R. S., & Fridsma, D. B. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000308 · Cited by 881
Best Practices for Scientific Computing
Wilson, G., Aruliah, D. A., Brown, C. T., Chue Hong, N. P., Davis, M., Guy, R. T., Haddock, S. H. D., Huff, K. D., Mitchell, I. M., Plumbley, M. D., et al. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001745 · Cited by 723
Wicherts, J. M., Bakker, M., & Molenaar, D. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026828 · Cited by 424
Stodden, V., Guo, P., & Ma, Z. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067111 · Cited by 257
Software Carpentry: lessons learned
Wilson, G. (2016) · F1000Research · doi:10.12688/f1000research.3-62.v2 · Cited by 174
Data Carpentry: Workshops to Increase Data Literacy for Researchers
Teal, T. K., Cranston, K. A., Lapp, H., White, E., Wilson, G., Ram, K., & Pawlik, A. (2015) · International Journal of Digital Curation · doi:10.2218/ijdc.v10i1.351 · Cited by 106
Research works printed but not linked: 102
- Abari, K. (2012). Reproducible research in speech sciences. International Journal of Computer Science Issues, 9(6), 43–52. Retrieved from http://www.ijcsi.org/papers/IJCSI-9-6-2-43-52.pdf
- Arbuckle, B. S., Kansa, S. W., Kansa, E., Orton, D., Çakırlar, C., Gourichon, L., & Würtenberger, D. (2014). Data sharing reveals complexity in the westward spread of domestic animals across neolithic Turkey. PloS One, 9(6), e99845. doi: 10.1371/journal.pone.0099845 . · DOI
- Baggerly, K. A., & Coombes, K. R. (2009). Deriving chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology. The Annals of Applied Statistics, 1309–1334. · DOI
- Barnes, N. (2010). Publish your computer code: it is good enough. Nature News, 467(7317), 753–753. doi: 10.1038/467753a . · DOI
- Bassi, S. (2007). A primer on Python for life science researchers. PLoS Computational Biology, 3(11). doi: 10.1371/journal.pcbi.0030199 · DOI
- Baumer, B., & Udwin, D. (2015). R markdown. Wiley Interdisciplinary Reviews: Computational Statistics, 7(3), 167–177. doi: 10.1002/wics.1348 . · DOI
- Baumer, B., Cetinkaya-Rundel, M., Bray, A., Loi, L., & Horton, N. J. (2014). R markdown: Integrating a reproducible analysis tool into introductory statistics. Technology Innovations in Statistics Education, 8(1). Retrieved from http://www.escholarship.org/uc/item/90b2f5xh · DOI
- Beale, N. (2012). How community archaeology can make use of open data to achieve further its objectives. World Archaeology, 44(4), 612–633. · DOI
- Begley, C. G., & Ioannidis, J. P. A. (2015). Reproducibility in science improving the standard for basic and preclinical research. Circulation Research, 116(1), 116–126. doi: 10.1161/CIRCRESAHA.114.303819 . · DOI · Paper page
- Bivand, R. S., Pebesma, E. J., Gomez-Rubio, V., & Pebesma, E. J. (2008). Applied spatial data analysis with R (Vol. 747248717). Springer.
- Bocinsky, R. K. (2014). Extrinsic site defensibility and landscape-based archaeological inference: an example from the northwest coast. Journal of Anthropological Archaeology, 35, 164–176. · DOI
- Bocinsky, R. K., & Kohler, T. A. (2014). A 2,000-year reconstruction of the rain-fed maize agricultural niche in the US southwest. Nature Communications, 5. · DOI
- Boettiger, C. (2015). An introduction to docker for reproducible research. SIGOPS Operating System Review, 49(1), 71–79. doi: 10.1145/2723872.2723882 . · DOI · Paper page
- Boettiger, C., Hart, T., Chamberlain, S., & Ram, K. (2015). Building software, building community: lessons from the rOpenSci project. Journal of Open Research Software, 1(1), e8. · DOI
- Bonhomme, V., Picq, S., Gaucherel, C., & Claude, J. (2014). Momocs: outline analysis using r. Journal of Statistical Software, 56(13), 1–24. doi: 10.18637/jss.v056.i13 . · DOI
- Borck, L., Mills, B. J., Peeples, M. A., & Clark, J. J. (2015). Are social networks survival networks? An example from the late pre-Hispanic US southwest. Journal of Archaeological Method and Theory, 22(1), 33–57. · DOI
- Borgman, C. L. (2012). The conundrum of sharing research data. Journal of the American Society for Information Science and Technology, 63(6), 1059–1078. · DOI
- Buckheit, J. B., & Donoho, D. L. (1995). WaveLab and reproducible research. In A. Antoniadis & G. Oppenheim (Eds.), Wavelets and statistics (pp. 55–81). Springer New York. Retrieved from http://link.springer.com/chapter/ 10.1007/978-1-4612-2544-7_5 · DOI
- Chambers, J. M. (2009). Software for data analysis: Programming with R (1st ed. 2008. Corr. 2nd printing 2009 edition.). New York: Springer.
- Clarkson, C., Smith, M., Marwick, B., Fullagar, R., Wallis, L. A., Faulkner, P., & Florin, S. A. (2015). The archaeology, chronology and stratigraphy of Madjedbebe (Malakunanja II): a site in northern australia with early occupation. Journal of Human Evolution, 83, 46–64. doi: 10.1016/j.jhevol.2015.03.014 . · DOI · Paper page
- Contreras, D. A., & Meadows, J. (2014). Summed radiocarbon calibrations as a population proxy: a critical evaluation using a realistic simulation approach. Journal of Archaeological Science, 52, 591–608. · DOI
- Crema, E., Edinborough, K., Kerig, T., & Shennan, S. (2014). An approximate bayesian computation approach for inferring patterns of cultural evolutionary change. Journal of Archaeological Science, 50, 160–170. · DOI
- Dafoe, A. (2014). Science deserves better: the imperative to share complete replication files. PS: Political Science & Politics, 47(01), 60–66. doi: 10.1017/S104909651300173X . · DOI
- Delescluse, M., Franconville, R., Joucla, S., Lieury, T., & Pouzat, C. (2012). Making neurophysiological data analysis reproducible: why and how? Journal of Physiology-Paris, 106(3–4), 159–170. doi: 10.1016/j.jphysparis.2011.09.011 . · DOI
- Donoho, D. L., Maleki, A., Rahman, I. U., Shahram, M., & Stodden, V. (2009). Reproducible research in computational harmonic analysis. Computing in Science & Engineering, 11(1), 8–18. doi: 10.1109/MCSE.2009.15 . · DOI
- Drake, W. H. A. H., Lee, B., & Wills, W. (2014). Strontium isotopes and the reconstruction of the Chaco regional system: evaluating uncertainty with bayesian mixing models. PloS One, 9(5), e95580. doi: 10.1371/journal.pone.0095580 . · DOI
- Dudley, J. T., & Butte, A. J. (2010). Reproducible in silico research in the era of cloud computing. Nature Biotechnology, 28(11), 1181–1185. doi: 10.1038/nbt1110-1181 . · DOI
- Dye, T. S. (2011). A model-based age estimate for polynesian colonization of Hawai’i. Archaeology in Oceania, 46(3), 130–138. · DOI
- Eglen, S. J. (2009). A quick guide to teaching R programming to computational biology students. PLoS Computational Biology, 5(8), e1000482. doi: 10.1371/journal.pcbi.1000482 . · DOI
- Faris, J., Kolker, E., Szalay, A., Bradlow, L., Deelman, E., Feng, W., & Kolker, E. (2011). Communication and data-intensive science in the beginning of the 21st century. Omics: A Journal of Integrative Biology, 15(4), 213–215. · DOI
- Gandrud, C. (2013a). Github: a tool for social data development and verification in the cloud. The Political Methodologist, 20(2), 7–16.
- Gandrud, C. (2013b). Reproducible research with R and RStudio. CRC Press.
- Gentleman, R., & Temple Lang, D. (2007). Statistical analyses and reproducible research. Journal of Computational and Graphical Statistics, 16(1), 1–23. doi: 10.1198/106186007X178663 . · DOI
- Glatard, T., Lewis, L. B., Ferreira da Silva, R., Adalat, R., Beck, N., Lepage, C., & Evans, A. C. (2015). Reproducibility of neuroimaging analyses across operating systems. Frontiers in Neuroinformatics, 9, 12. doi: 10.3389/fninf.2015.00012 . · DOI
- Gleditsch, N. P., & Strand, H. (2003). Posting your data: will you be scooped or will you be famous? International Studies Perspectives, 4(1), 72–107. doi: 10.1111/1528-3577.04105 . · DOI
- Guedes, J. d., Jin, G., & Bocinsky, R. K. (2015). The impact of climate on the spread of rice to north-eastern China: a new look at the data from shandong province. PloS One, 10(6), e0130430. · DOI
- Haddock, S. H. D., & Dunn, C. W. (2011). Practical computing for biologists. MA: Sinauer Associates Sunderland.
- Hatton, L., & Roberts, A. (1994). How accurate is scientific software? IEEE Transactions on Software Engineering, 20(10), 785–797. doi: 10.1109/32.328993 . · DOI
- Healy, K. (2011). Choosing your workflow applications. The Political Methodologist, 18(2), 9–18.
- Henley, M., & Kemp, R. (2008). Open source software: an introduction. Computer Law & Security Review, 24(1), 77–85. · DOI
- Henneken, E. A., & Accomazzi, A. (2011). Linking to data - effect on citation rates in astronomy. CoRR, abs/1111.3618. Retrieved from http://arxiv.org/abs/1111.3618 · arXiv
- Herndon, T., Ash, M., & Pollin, R. (2014). Does high public debt consistently stifle economic growth? A critique of Reinhart and Rogoff. Cambridge Journal of Economics, 38(2), 257–279. doi: 10.1093/cje/bet075 . · DOI
- Hoffa, C., Mehta, G., Freeman, T., Deelman, E., Keahey, K., Berriman, B., & Good, J. (2008). On the use of cloud computing for scientific workflows. In IEEE fourth international conference on eScience, 2008. eScience’08 (pp. 640–645). doi: 10.1109/eScience.2008.167 · DOI
- Howe, B. (2012). Virtual appliances, cloud computing, and reproducible research. Computing in Science & Engineering, 14(4), 36–41. doi: 10.1109/MCSE.2012.62 . · DOI
- Ince, D. C., Hatton, L., & Graham-Cumming, J. (2012). The case for open computer programs. Nature, 482(7386), 485–488. doi: 10.1038/nature10836 . · DOI
- Janssen, M. A., Alessa, L. N., Barton, M., Bergin, S., & Lee, A. (2008). Towards a community framework for agent-based modelling. Journal of Artificial Societies and Social Simulation, 11(2), 6.
- Jones, Z. M. (2013). Git/GitHub, transparency, and legitimacy in quantitative research. The Political Methodologist, 21(1), 6–7. Retrieved from http://zmjones.com/static/papers/git.pdf
- Joppa, L. N., McInerny, G., Harper, R., Salido, L., Takeda, K., O’Hara, K., & Emmott, S. (2013). Troubling trends in scientific software use. Science, 340(6134), 814–815. · DOI
- Kahle, D., & Wickham, H. (2013). Ggmap: spatial visualization with ggplot2. The R Journal, 5(1), 144–161. · DOI
- Kansa, E. (2012). Openness and archaeology’s information ecosystem. World Archaeology, 44(4), 498–520. · DOI
- Keeling, K. B., & Pavur, R. J. (2007). A comparative study of the reliability of nine statistical software packages. Computational Statistics & Data Analysis, 51(8), 3811–3831. doi: 10.1016/j.csda.2006.02.013 . · DOI
- King, G. (1995). Replication, replication. PS: Political Science & Politics, 28(03), 444–452.
- Kintigh, K. (2006). The promise and challenge of archaeological data integration. American Antiquity, 71(3), 567–578. doi: 10.2307/40035365 . · DOI
- Kintigh, K. W., Altschul, J. H., Beaudry, M. C., Drennan, R. D., Kinzig, A. P., & Kohler, T. A. (2014). Grand challenges for archaeology. Proceedings of the National Academy of Sciences, 111(3), 879–880. · DOI · Paper page
- Knuth, D. E. (1984). Literate programming. The Computer Journal, 27(2), 97–111. · DOI
- Laine, C., Goodman, S. N., Griswold, M. E., & Sox, H. C. (2007). Reproducible research: moving toward research the public can really trust. Annals of Internal Medicine, 146(6), 450–453. doi: 10.7326/0003-4819-146-6-200703200-00154 . · DOI · Paper page
- Lang, S. (1993). Questions of scientific responsibility: the Baltimore case. Ethics & Behavior, 3(1), 3–72. doi: 10.1207/s15327019eb0301_1 . · DOI
- Leisch, F., Eugster, M., & Hothorn, T. (2011). Executable papers for the R community: the R2 platform for reproducible research. Procedia Computer Science, 4, 618–626. · DOI
- Lowe, K. M., Wallis, L. A., Pardoe, C., Marwick, B., Clarkson, C., Manne, T., & Fullagar, R. (2014). Ground-penetrating radar and burial practices in western Arnhem Land, Australia. Archaeology in Oceania, 49(3), 148–157. · DOI
- Mackay, A., Sumner, A., Jacobs, Z., Marwick, B., Bluff, K., & Shaw, M. (2014). Putslaagte 1 (PL1), the Doring river, and the later middle stone age in southern Africa’s winter rainfall zone. Quaternary International, 350, 43–58. · DOI
- Mair, P., Hofmann, E., Gruber, K., Hatzinger, R., Zeileis, A., & Hornik, K. (2015). Motivation, values, and work design as drivers of participation in the r open source project for statistical computing. Proceedings of the National Academy of Sciences, 112(48), 14788–14792. doi: 10.1073/pnas.1506047112 . · DOI
- Markowetz, F. (2015). Five selfish reasons to work reproducibly. Genome Biology, 16. · DOI
- Marwick, B. (2013). Multiple optima in Hoabinhian flaked stone artefact palaeoeconomics and palaeoecology at two archaeological sites in northwest Thailand. Journal of Anthropological Archaeology, 32(4), 553–564. · DOI
- McCullough, B. (2007). Got replicability? The _journal of money, credit and banking_ archive. Econ Journal Watch, 4(3), 326–337.
- McCullough, B., & Vinod, H. D. (2003). Verifying the solution from a nonlinear solver: a case study. American Economic Review, 93(3), 873–892. doi: 10.1257/000282803322157133 . · DOI · Paper page
- McCullough, B., McGeary, K. A., & Harrison, T. D. (2006). Lessons from the JMCB archive. Journal of Money, Credit, and Banking, 38(4), 1093–1107. doi: 10.1353/mcb.2006.0061 . · DOI · Paper page
- McCullough, B., McGeary, K. A., & Harrison, T. D. (2008). Do economics journal archives promote replicable research? The Canadian Journal of Economics / Revue Canadienne d’Economique, 41(4), 1406–1420. · DOI
- Miguel, E., Camerer, C., Casey, K., Cohen, J., Esterling, K. M., Gerber, A., & Van der Laan, M. (2014). Promoting transparency in social science research. Science (New York, N.Y.), 343(6166), 30–31. doi: 10.1126/science.1245317 . · DOI
- Miller, G. (2006). A scientist’s nightmare: software problem leads to five retractions. Science, 314(5807), 1856–1857. doi: 10.1126/science.314.5807.1856 . · DOI
- Morandat, F., Hill, B., Osvald, L., & Vitek, J. (2012). Evaluating the design of the R language. In ECOOP 2012–Object-oriented programming (pp. 104–131). Springer. · DOI
- Morin, A., Urban, J., & Sliz, P. (2012). A quick guide to software licensing for the scientist-programmer. PLoS Computational Biology, 8(7), e1002598. · DOI
- Narasimhan, B., et al. (2005). Lisp-stat to Java to R. Journal of Statistical Software, 13(4), 1–10. · DOI
- Noble, W. S. (2009). A quick guide to organizing computational biology projects. PLoS Computational Biology, 5(7), e1000424. doi: 10.1371/journal.pcbi.1000424 . · DOI
- Nowakowski, P., Ciepiela, E., Harżlak, D., Kocot, J., Kasztelnik, M., Bartyński, T., & Malawski, M. (2011). The collage authoring environment. Procedia Computer Science, 4, 608–617. · DOI
- Peeples, M. A., & Schachner, G. (2012). Refining correspondence analysis-based ceramic seriation of regional data sets. Journal of Archaeological Science, 39(8), 2818–2827. · DOI
- Peng, R. D. (2009). Reproducible research and biostatistics. Biostatistics, 10(3), 405–408. doi: 10.1093/biostatistics/kxp014 . · DOI
- Perkel, J. M. (2015). Programming: pick up Python. Nature, 518(7537), 125–126. doi: 10.1038/518125a . · DOI
- Piwowar, H. A., & Vision, T. J. (2013). Data reuse and the open data citation advantage. Peer Journal, 1, e175. · DOI
- Plummer, M., & others. (2003). JAGS: A program for analysis of Bayesian graphical models using gibbs sampling. In Proceedings of the 3rd international workshop on distributed statistical computing (Vol. 124, p. 125). Technische Universit at Wien.
- Ram, K. (2013). Git can facilitate greater reproducibility and increased transparency in science. Source Code for Biology and Medicine, 8(1), 7. · DOI
- Reich, V. (2008). CLOCKSS—it takes a community. The Serials Librarian, 54(1-2), 135–139. · DOI
- Reshef, D. N., Reshef, Y. A., Finucane, H. K., Grossman, S. R., McVean, G., Turnbaugh, P. J., & Sabeti, P. C. (2011). Detecting novel associations in large data sets. Science, 334(6062), 1518–1524. doi: 10.1126/science.1205438 . · DOI
- Richards, J. D. (1997). Preservation and re-use of digital data: the role of the archaeology data service. Antiquity, 71(274), 1057–1057. · DOI
- Sandve, G. K., Nekrutenko, A., Taylor, J., & Hovig, E. (2013). Ten simple rules for reproducible computational research. PLoS Computational Biology, 9(10), e1003285. doi: 10.1371/journal.pcbi.1003285 . · DOI · Paper page
- Sarkar, D. (2008). Lattice: Multivariate data visualization with R. Springer Science & Business Media. · DOI
- Schulte, E., Davison, D., Dye, T., & Dominik, C. (2012). A multi-language computing environment for literate programming and reproducible research. Journal of Statistical Software, 46(3), 1–24. Retrieved from http://yuyang0.github.io/static/doc/babel.pdf · DOI
- Schwab, M., Karrenbach, M., & Claerbout, J. (2000). Making scientific computations reproducible. Computing in Science & Engineering, 2(6), 61–67. · DOI
- Sears, J. (2011). Data sharing effect on article citation rate in paleoceanography. In AGU fall meeting abstracts (Vol. 1, p. 1628).
- Sharpe, D. (2013). Why the resistance to statistical innovations? Bridging the communication gap. Psychological Methods, 18(4), 572. Retrieved from http://psycnet.apa.org/journals/met/18/4/572/ · DOI
- Shennan, S. J., Crema, E. R., & Kerig, T. (2015). Isolation-by-distance, homophily, and’core’ vs’.package’ cultural evolution models in neolithic europe. Evolution and Human Behavior, 36(2), 103–109. · DOI
- Stanisic, L., Legrand, A., & Danjean, V. (2015). An effective git and org-mode based workflow for reproducible research. ACM SIGOPS Operating Systems Review, 49(1), 61–70. Retrieved from http://dl.acm.org/citation.cfm?id = 2723881 · DOI
- Stodden, V. (2009). The legal framework for reproducible scientific research: licensing and copyright. Computing in Science & Engineering, 11(1), 35–40. doi: 10.1109/MCSE.2009.19 . · DOI
- Stodden, V., & Miguez, S. (2014). Best practices for computational science: software infrastructure and environments for reproducible and extensible research. Journal of Open Research Software, 2(1), e21. doi: 10.5334/jors.ay . · DOI
- Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A. U., Wu, L., Read, E., & Frame, M. (2011). Data sharing by scientists: practices and perceptions. PloS One, 6(6), e21101. doi: 10.1371/journal.pone.0021101 . · DOI · Paper page
- Tippmann, S. (2014). Programming tools: adventures with R. Nature, 517(7532), 109–110. doi: 10.1038/517109a . · DOI
- Vandewalle, P. (2012). Code sharing is associated with research impact in image processing. Computing in Science and Engineering, 14(4), 42–47. · DOI
- VanPool, T. L., & Leonard, R. D. (2010). Quantitative analysis in archaeology (1 edition.). Chichester, West Sussex, U.K. Malden, MA: Wiley-Blackwell. · DOI
- Vihinen, M. (2015). No more hidden solutions in bioinformatics. Nature, 521(7552), 261–261. doi: 10.1038/521261a . · DOI
- Wickham, H. (2014). Advanced R (1 edition.). Boca Raton, FL: Chapman; Hall/CRC.
- Wickham, H. (2015). R packages (1 edition.). Sebastopol, Calif.: O’Reilly Media.
- Widemann, B. T. y, Bolz, C. F., & Grelck, C. (2013). The functional programming language r and the paradigm of dynamic scientific programming. In H.-W. Loidl & R. Peña (Eds.), Trends in functional programming (Vol. 7829, pp. 182–197). Springer Berlin Heidelberg. doi: 10.1007/978-3-642-40447-4_12 · DOI
- Xie, Y. (2013). Dynamic documents with R and knitr. CRC Press.
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Metadata
- Authors
- Marwick, B.
- Venue
- Journal of Archaeological Method and Theory
- Published
- 2016-01-07
- Volume
- 24
- Issue
- 2
- Pages
- 424-450
- ISSN
- 1072-5369
- 1573-7764
- Cited by
- 179
- References
- 9
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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