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• J. B. Buckheit and D. L. Donoho, WaveLab and Reproducible Research, Dept. of Statistics, Stanford University, Tech. Rep. 474, 1995.
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• M. Schwab, M. Karrenbach, and J. Claerbout, Making scientific computations reproducible, Computing in Science & Engineering, vol. 2, no. 6, pp. 61–67, Nov. 2000.
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• A. J. Rossini and F. Leisch, Literate statistical practice, UW Biostatistics Working Paper Series 194, University of Washington, WA, USA, 2003.
• J. Quirk, Computational Science: “Same Old Silence, Same Old Mistakes” – “Something More Is Needed”, Adaptive Mesh Refinement – Theory and Applications, Proceedings of the Chicago Workshop on Adaptive Mesh Refinement Methods, pp. 3-28, Sept. 2003, doi:10.1007/3-540-27039-6_1.
• R. Gentleman and D. Temple Lang, Statistical Analyses and Reproducible Research, Bioconductor Project Working Papers, Working Paper 2, May 2004.
• M. Ruschhaupt, W. Hubery, A. Poustkaz and U. Mansmann, A Compendium to Ensure Computational Reproducibility in High-Dimensional Classification Tasks, Statistical Applications in Genetics and Molecular Biology, vol. 3, no. 1, 2004.
• S. Pakin, Reproducible Network Benchmarks with coNCePTuaL, Proc. Euro-Par ’04, pp. 64–71, Lecture Notes in Computer Science Vol. 3149, Sept. 2004.
• M. Barni and F. Perez-Gonzalez, Pushing Science into Signal Processing, IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 119–120, July 2005.
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• S. Fomel and G. Hennenfent, Reproducible computational experiments using scons, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 4, pp. 1257–1260, April 2007.
• J. Kovacevic, How to encourage and publish reproducible research, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 4, April 2007, pp. 1273–1276.
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• J. Vandewalle, J. Suykens, B. De Moor, and A. Lendasse, State of the art and evolutions in public data sets and competitions for
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• D. Ramage and A. J. Oliner, RA: ResearchAssistant for the Computational Sciences, Proc. Workshop on Experimental Computer Science (ExpCS), June 2007, doi:10.1145/1281700.1281719.
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• R. D. Peng, Reproducible Research in Computational Science, Science, Vol. 334, p. 1226-1227, 2011, doi:10.1126/science.1213847.
• M. Tomasello and J. Call, Methodological Challenges in the Study of Primate Cognition, Science, Vol. 334, p. 1227-1228, 2011, doi:10.1126/science.1213443.
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Talks and other ‘informal’ write-ups about reproducible research

• K. Coombes, Sweave: First steps toward reproducible analyses, presentation given at UT M. D. Anderson Cancer Center, Feb. 2007.
• G. Wilson, High-Performance Computing Considered Harmful, May 2008, an interview with Greg Wilson.
• Interview with Roger Barga on Trident, a workbench for scientific workflow for oceanography, Aug. 2008.
• Presentations mini-symposium Store-Share-and-Cite, TU Delft, The Netherlands, June 2011.