In the course of our research at GFZ and PIK we create a multitude of algorithms, models, and software; sometimes, existing code is adapted to fit new purposes. This creation and adaptation of code in a scientific context gives rise to a number of questions:

• How can models and software be published?
• Which licence models are available and which are suitable in a scientific context?
• Which distribution channels an platforms are available for the distribution of source code from models and software?

The aim of this working group is to get an overview of the types of code created on and around Telegrafenberg and determine the requirements towards software publications. The outcomes of this workshop will be the basis for upcoming workshops targeted at specific aspects of software publication and will be used to develop consulting and publication services for software to be offered through the Library of Wissenschaftspark Albert Einstein.

First Joint Workshop 2012-05-07.

Expert Workshop 2013-02-06.

DFG Project SciForge Kick-off Workshop 2014-01-24.

AGU Townhall Software and Research

• Information about licence options
  • Why choosing a “non-commercial” option might sometimes not have the desired effects: Klimpel, P. (2012), Folgen, Risiken und Nebenwirkungen der Bedingung „nicht-kommerziell - NC“, Wikimedia Deutschland, Berlin, Germany. [online] Available from: http://irights.info/userfiles/CC-NC_Leitfaden_web.pdf

• Journals on FOSS legal issues:
  • International Free and Open Source Software Law Review http://www.ifosslr.org/ifosslr. The International Free and Open Source Software Law Review (IFOSS L. Rev.) is a collaborative legal publication aiming to increase knowledge and understanding among lawyers about Free and Open Source Software issues. Topics covered include copyright, licence implementation, licence interpretation, software patents, open standards, case law and statutory changes.

• Copernicus Journal start-up guideline

• Presentation Shining Light into the Black Box from GFZ GIS Day 2012.
• Strategies in software travel
• Rother, K. (2013), How to recognize good scientific software?, Academis. http://www.academis.sites.djangoeurope.com/blog/posts/how-recognize-good-scientific-software (Accessed 18 March 2013)

• Websites:
  • RunMyCode is a web service allowing people to run computer codes associated with a scientific publication (articles and working papers) using their own data and parameter values. The service only requires a web browser as all calculations are done on a dedicated cloud computer. Once the results are ready, they are automatically displayed to the user. It is also possible to only make the code downloadable, but not executable. In that case, users can download the code and run it on their own computer.
  • Software Sustainability Institute has the goal is to make it easier to rely on software as a foundation of research. We help people learn the skills needed to build better software, and ensure that people get credit and encouragement for developing sustainable software. We work with researchers, developers, funders and infrastructure providers to identify the key issues and best practice surrounding scientific software.
  • CARPET Community for Academic Reviewing, Publishing and Editorial Technology aims to support the efficient use of electronic tools and services for scientific publishing.

Anon (2014), Credit for code, Nat Genet, 46(1), 1–1, doi:10.1038/ng.2869.

Baiocchi, G. (2007), Reproducible research in computational economics: guidelines, integrated approaches, and open source software, Comput Econ, 30(1), 19–40, doi:10.1007/s10614-007-9084-4. (Accessed 14 December 2012)

Barnes, N. (2010), Publish your computer code: it is good enough, Nature News, 467(7317), 753–753, doi:10.1038/467753a. (Accessed 23 October 2012)

Brown, C. T. (2010), My Data Management Plan - a satire, Daily Life in an Ivory Basement. [online] Available from: http://ivory.idyll.org/blog/may-10/data-management.html (Accessed 29 September 2010)

Cook, J. D. (2011), Software exoskeletons, The Endeavour. [online] Available from: http://www.johndcook.com/blog/2011/07/21/software-exoskeletons/ (Accessed 26 July 2011)

Gewin, V. (2013), Turning point: Carl Boettiger, Nature, 493(7434), 711–711, doi:10.1038/nj7434-711a. (Accessed 31 January 2013)

Grootveld, M., and J. van Egmond (2012), Peer-Reviewed Open Research Data: Results of a Pilot, International Journal of Digital Curation, 7(2), 81–91, doi:10.2218/ijdc.v7i2.231. (Accessed 23 January 2013)

Hatton, L., and A. Giordani (2012), Does computation threaten the scientific method?, International Science Grid This Week. [online] Available from: http://www.isgtw.org/feature/does-computation-threaten-scientific-method (Accessed 4 April 2012)

Hong, N. C., S. Holmgren, D. Kranzmüller, S. Lanteri, E. Laure, G. Lonsdale, and P. Öster (2012), e-IRG Policy Paper on Scientific Software, e-IRG. [online] Available from: http://www.e-irg.eu/images/stories/publ/task_force_reports/e-irg_tfss_final.pdf (Accessed 13 December 2012)

Ince, D. C., L. Hatton, and J. Graham-Cumming (2012), The case for open computer programs, Nature, 482(7386), 485–488, doi:10.1038/nature10836. (Accessed 30 March 2012)

Lamport, L. (2013), Why We Should Build Software Like We Build Houses, Wired Opinion. [online] Available from: http://www.wired.com/opinion/2013/01/code-bugs-programming-why-we-need-specs/ (Accessed 28 January 2013)

LeVeque, R. J. (2011), Top 10 Reasons to NOT Share your Code and Why you Should Anyway, CSE2011, Reno, NV. [online] Available from: http://faculty.washington.edu/rjl/talks/LeVeque_CSE2011.pdf (Accessed 05 November 2012)

Littauer, R., K. Ram, B. Ludäscher, W. Michener, and R. Koskela (2012), Trends in Use of Scientific Workflows: Insights from a Public Repository and Recommendations for Best Practice, International Journal of Digital Curation, 7(2), 92–100, doi:10.2218/ijdc.v7i2.232. (Accessed 23 January 2013)

Merali, Z. (2010), Computational science: …Error, Nature, 467(7317), 775–777, doi:10.1038/467775a. (Accessed 23 October 2012)

Morin, A., J. Urban, P. D. Adams, I. Foster, A. Sali, D. Baker, and P. Sliz (2012), Shining Light into Black Boxes, Science, 336(6078), 159–160, doi:10.1126/science.1218263. (Accessed 23 October 2012)

Peng, R. D. (2011), Reproducible Research in Computational Science, Science, 334(6060), 1226–1227, doi:10.1126/science.1213847. (Accessed 4 April 2012)

Piwowar, H. (2013), Altmetrics: Value all research products, Nature, 493(7431), 159–159, doi:10.1038/493159a. (Accessed 10 January 2013)

Schwab, M., N. Karrenbach, and J. Claerbout (2000), Making scientific computations reproducible, Computing in Science Engineering, 2(6), 61–67, doi:10.1109/5992.881708. (Accessed 23 October 2012)

Vandewalle, P. (2012), Code Sharing Is Associated with Research Impact in Image Processing, Computing in Science Engineering, 14(4), 42–47, doi:10.1109/MCSE.2012.63. (Accessed 20 December 2012)

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