Publications

Harlan P. Crowder, Ron S. Dembo, and John M. Mulvey. On Reporting Computational Experiments with Mathematical Software.. ACM Trans. Math. Softw., (5)2:193-203, 1979. [PUMA: berlin diss forschungsdaten software] URL

Alice Allen, Cecilia R. Aragon, Christoph Becker, Jeffrey Carver, Andrei Chis, Benoît Combemale, Mike Croucher, Kevin Crowston, Daniel Garijo, Ashish Gehani, Carole A. Goble, Robert Haines, Robert Hirschfeld, James Howison, Kathryn D. Huff, Caroline Jay, Daniel S. Katz, Claude Kirchner, Katie Kuksenok, Ralf Lämmel, Oscar Nierstrasz, Matthew J. Turk, Rob van Nieuwpoort, Matthew Vaughn, and Jurgen J. Vinju. Engineering Academic Software (Dagstuhl Perspectives Workshop 16252).. Dagstuhl Manifestos, (6)1:1-20, 2017. [PUMA: berlin diss forschungsdaten software] URL

Teresa Gomez-Diaz, and Tomas Recio. On the evaluation of research software: the CDUR procedure. F1000Research, (8):1353, F1000 Research Ltd, November 2019. [PUMA: berlin diss evaluation forschungsdaten software] URL

Sylvain Hallé, Raphaël Khoury, and Mewena Awesso. Streamlining the Inclusion of Computer Experiments In a Research Paper.. IEEE Computer, (51)11:78-89, 2018. [PUMA: berlin diss forschungsdaten software] URL

Arne N. Johanson, and Wilhelm Hasselbring. Software Engineering for Computational Science.. In Steffen Becker, Ivan Bogicevic, Georg Herzwurm, and Stefan Wagner (Eds.), SE/SWM, (P-292):43-44, GI, 2019. [PUMA: berlin diss forschungsdaten software softwareengineering] URL

Wilhelm Hasselbring, Leslie Carr, Simon Hettrick, Heather Packer, and Thanassis Tiropanis. FAIR and Open Computer Science Research Software. arXiv preprint arXiv:1908.05986, 2019. [PUMA: FAIR berlin diss forschungsdaten software] URL

Neil Chue Hong. Minimal information for reusable scientific software. Proceedings of the 2nd Workshop on Working towards Sustainable Scientific Software: Practice and Experience, 2014. [PUMA: berlin diss forschungsdaten software]

Kaja Scheliga, Heinz Pampel, Uwe Konrad, Bernadette Fritzsch, Tobias Schlauch, Marco Nolden, Wolfgang Zu Castell, Ants Finke, Martin Hammitzsch, Oliver Bertuch, and Michael Denker. Dealing with research software: Recommendations for best practices. Helmholtz Open Science Coordination Office, 2019. [PUMA: berlin diss forschungsdaten software] URL

Leslie Hsu, Vivian B. Hutchison, and Madison L. Langseth. Measuring sustainability of seed-funded earth science informatics projects. PLOS ONE, (14)10:1-25, Public Library of Science, October 2019. [PUMA: berlin diss forschungsdaten software] URL

Till Kreutzer, and Henning Lahmann. Rechtsfragen bei Open Science. Hamburg University Press, 2019. [PUMA: berlin diss forschungsdaten openscience recht] URL

Anna-Lena Lamprecht, Leyla Garcia, Mateusz Kuzak, Carlos Martinez, Ricardo Arcila, Eva Martin Del Pico, Victoria Dominguez Del Angel, Stephanie van de Sandt, Jon Ison, Paula Andrea Martinez, Peter McQuilton, Alfonso Valencia, Jennifer Harrow, Fotis Psomopoulos, Josep Ll. Gelpi, Neil Chue Hong, Carole Goble, and Salvador Capella-Gutierrez. Towards FAIR principles for~research~software. In Paul Groth (Eds.), Data Science, 1--23, IOS Press, November 2019. [PUMA: berlin diss forschungsdaten software] URL

Kai Li, Pei-Ying Chen, and Erjia Yan. Challenges of measuring software impact through citations: An examination of the lme4 R package. Journal of Informetrics, (13)1:449--461, Elsevier BV, February 2019. [PUMA: berlin diss forschungsdaten impact software] URL

Miriam Ballhausen. Free and Open Source Software Licenses Explained.. IEEE Computer, (52)6:82-86, 2019. [PUMA: berlin diss forschungsdaten software] URL

Anton Akhmerov, Maria Cruz, Niels Drost, Cees Hof, Tomas Knapen, Mateusz Kuzak, Carlos Martinez-Ortiz, Yasemin Turkyilmaz-van der Velden, and Ben van Werkhoven. Raising the Profile of Research Software: Recommendations for Funding Agencies and Research Institutions. In NWO (Eds.), 2019. [PUMA: berlin diss forschungsdaten software]

Room for everyone’s talent. In VSNU, NFU, KNAW, NWO and ZonMw (Eds.), 2019. [PUMA: berlin diss forschungsdaten recognition software]

Ulrich Rüde, Karen Willcox, Lois Curfman McInnes, and Hans De Sterck. Research and Education in Computational Science and Engineering.. SIAM Review, (60)3:707-754, 2018. [PUMA: berlin diss forschungsdaten software] URL

Tobias Schlauch, Michael Meinel, and Carina Haupt. DLR Software Engineering Guidelines. Zenodo, August 2018. [PUMA: berlin diss forschungsdaten software]

Adam Siepel. Challenges in funding and developing genomic software: roots and remedies. Genome Biology, (20)1:147--, 2019. [PUMA: berlin diss forschungsdaten software] URL

Stephanie van de Sandt, Lars Holm Nielsen, Alexandros Ioannidis, August Muench, Edwin A. Henneken, Alberto Accomazzi, Chiara Bigarella, Jose Benito Gonzalez Lopez, and Sünje Dallmeier-Tiessen. Practice meets Principle: Tracking Software and Data Citations to Zenodo DOIs.. CoRR, (abs/1911.00295)2019. [PUMA: berlin diss forschungsdaten software] URL

G Wilson, D A Aruliah, C T Brown, N P Chue Hong, M Davis, R T Guy, S H Haddock, K D Huff, I M Mitchell, M D Plumbley, B Waugh, E P White, and P Wilson. Best practices for scientific computing. PLoS Biol, (12)1January 2014. [PUMA: berlin diss forschungsdaten recommendation software] URL