In conclusion 2 …

As promised in a previous post, here are a few slides from the second block of EWASS 2017 software presentations.

Reproducibility in Era of Data-Driven Science, Kai Polsterer (slides: PDF)

Conclusion: publications should be open access. Data should include all raw, test, training, and reference data in addition to detailed results. Software should be put into repositories and registries, and parameters, configuration, and environment needed to run the software should be saved as much as possible.

 

Should short codes used for astronomy research be made public?, Robert Nemiroff (slides: PDF)

Summary and key points. Short codes can be vitally important, yet we never see them, making science less falsifiable. Let's reverse this. Submit your important short codes with your papers, like Figures, OR to the ASCL (at ascl.net). Science, on the whole, will be stronger.

 

Giving credit where credit is due: the role of ADS in discovering and citing software in scholarly publications, Sergi Blanco-Cuaresma (slides: PDF)

SAO/NASA ADS. Identification: What software version? Preservation: Is that version still available? Attribution: Is the right set of authors receiving the credit?

 

Fifteen years of WISE technology software development and operations, Gijs Verdoes Kleijn (slides: PDF)

The future: (Big) Data Science and Education. University of Groningen astronomy student admissions tripled since 2010. Strategy: grow a new generation of data scientists

 

CDS reference services supporting astronomy research, Mark Allen (slides: PDF)

Challenges and Opportunities. Multi-wavelength, multi-messenger and time-domain astrophysics. Changing modes of publication -- data associated with publications. Responding to the change in scale - Big Data. New technologies - not too soon, not too late. Bringing the code to the data. Continued adaptation to meet community needs.

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