Publications

Robert Sanderson, Mark Phillips, and Herbert Van de Sompel. Analyzing the Persistence of Referenced Web Resources with Memento. In arXiv (Eds.), 2011. [PUMA: forschungsdaten motivation persistentIdentifier]

Graham Lee, Sebastian Bacon, Ian Bush, Laura Fortunato, David Gavaghan, Thibault Lestang, Caroline Morton, Martin Robinson, Philippe Rocca-Serra, Susanna-Assunta Sansone, and Helena Webb. Barely sufficient practices in scientific computing. Patterns, (2)2:100206, 2021. [PUMA: forschungsdaten motivation software] URL

Alexander Michael Petersen, Santo Fortunato, Raj K. Pan, Kimmo Kaski, Orion Penner, Armando Rungi, Massimo Riccaboni, H. Eugene Stanley, and Fabio Pammolli. Reputation and impact in academic careers. Proceedings of the National Academy of Sciences, (111)43:15316-15321, 2014. [PUMA: credit forschungsdaten motivation] URL

Giovanni Colavizza, Iain Hrynaszkiewicz, Isla Staden, Kirstie Whitaker, and Barbara McGillivray. The citation advantage of linking publications to research data. PLOS ONE, (15)4:1-18, Public Library of Science, April 2020. [PUMA: credit forschungsdaten motivation] URL

Konstantin Wilms, Stefan Stieglitz, Alina Buchholz, Raimund Vogl, and Dominik Rudolph. Do Researchers Dream of Research Data Management?. Proceedings of the 51st Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, 2018. [PUMA: credit forschungsdaten motivation] URL

Matthew Hutson. Taking the pain out of data sharing. Nature, (610)7930:220--221, Oct 1, 2022. [PUMA: forschungsdaten journals motivation sharing] URL

Dorothea Iglezakis. Reanalysis of FDM-Communities Data for Engineering. DaRUS, 2019. [PUMA: engineering forschungsdaten motivation myown project_dipling] URL

Michael Schappals, Andreas Mecklenfeld, Leif Kröger, Vitalie Botan, Andreas Köster, Simon Stephan, Edder J. García, Gabor Rutkai, Gabriele Raabe, Peter Klein, Kai Leonhard, Colin W. Glass, Johannes Lenhard, Jadran Vrabec, and Hans Hasse. Round Robin Study: Molecular Simulation of Thermodynamic Properties from Models with Internal Degrees of Freedom. Journal of Chemical Theory and Computation, (13)9:4270-4280, 2017. [PUMA: chemistry forschungsdaten motivation reproducibility simulations thermodynamics] URL

TU Delft Data Stewards, EPFL Library Research Data Team, Jan Krause, Nathalie Lambeng, Heather Andrews, Jasmin Boehmer, Maria Cruz, Jasper van Dijck, Kees den Heijter, Munire van der Kruyk, and Marta Teperek. Quantitative assessment of research data management practice. February 2018. [PUMA: daten forschungsdaten motivation survey] URL

Bruno Bauer, Andreas Ferus, Juan Gorraiz, Veronika Gründhammer, Christian Gumpenberger, Nikolaus Maly, Johannes Michael Mühlegger, José Luis Preza, Barbara Sánchez Solís, Nora Schmidt, and Christian Steineder. Forschende und ihre Daten: Ergebnisse einer österreichweiten Befragung. Report 2015 – Executive Summary und Empfehlungen. 2015. [PUMA: forschungsdaten motivation befragung]

Dr. Reingis Hauck, Reiko Kaps, Hans Georg Krojanski, Anneke Meyer, Janna Neumann, and Volker Soßna. Der Umgang mit Forschungsdaten an der Leibniz Universität Hannover. Auswertung einer Umfrage und ergänzender Interviews 2015/16. -, Leibniz Universität Hannover, 2016. [PUMA: forschungsdaten motivation befragung]

Yeon Kyoung Joo, and Youngseek Kim. Engineering researchers’ data reuse behaviours: a structural equation modelling approach. In Emerald Publishing Limited (Eds.), The Electronic Library, (35)6:1141-1161, 2017. [PUMA: befragung engineering forschungsdaten motivation obib reuse]

Joanna Einbock. Informationsbeschaffungs- und Publikationsverhalten von Wissenschaftlerinnen und Wissenschaftlern der natur- und ingenieurwissenschaftlichen Fächer. In Technische Informationsbibliothek (Eds.), 2017. [PUMA: forschungsdaten motivation befragung]

Inken Feldsien-Sudhaus, and Beate Rajski. Digitale Forschungsdaten für die Zukunft sichern: Umfrage zum Umgang mit Forschungsdaten an der TU Hamburg: Auswertung. 2016. [PUMA: engineering forschungsdaten hamburg motivation befragung] URL

Victoria Stodden. The Scientific Method in Practice: Reproducibility in the Computational Sciences. In MIT Sloan Research Paper No. 4773-10 (Eds.), MIT Sloan Research Paper No. 4773-10February 2010. [PUMA: forschungsdaten motivation software befragung]

Maarten Mennes, Bharat B. Biswal, F. Xavier Castellanos, and Michael P. Milham. Making data sharing work: The FCP/INDI experience. NeuroImage, (82):683 - 691, 2013. [PUMA: beispiel forschungsdaten motivation neurowissenschaften] URL

Benedikt Fecher, Sascha Friesike, and Marcel Hebing. What Drives Academic Data Sharing?. PLOS ONE, (10)2:1-25, Public Library of Science, February 2015. [PUMA: forschungsdaten motivation] URL

Devan Ray Donaldson, Shawn Martin, and Thomas Proffen. Understanding Perspectives on Sharing Neutron Data at Oak Ridge National Laboratory. Data Science Journal, (16):35, 2017. [PUMA: forschungsdaten motivation physik befragung] URL

Nadine Levin, and Sabina Leonelli. How Does One “Open” Science? Questions of Value in Biological Research. Science, Technology, & Human Values, (42)2:280-305, 2017. [PUMA: databases forschungsdaten motivation sharing software] URL

Carol Tenopir, Elizabeth D. Dalton, Suzie Allard, Mike Frame, Ivanka Pjesivac, Ben Birch, Danielle Pollock, and Kristina Dorsett. Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide. PLOS ONE, (10)8:1-24, Public Library of Science, August 2015. [PUMA: forschungsdaten motivation befragung] URL