Publications

Dan Fowler, Jo Barratt, and Paul Walsh. Frictionless Data: Making Research Data Quality Visible. International Journal of Digital Curation, (12)22018. [PUMA: forschungsdaten metadata jsonLD]

Vito D’Orazio, and James Honaker. A User Guide to TwoRavens: An overview of features and capabilities. 2016. [PUMA: forschungsdaten visualization tools statistics]

Michael Witt, Jacob Carlson, D. Scott Brandt, and Melissa H. Cragin. Constructing Data Curation Profiles. International Journal of Digital Curation, (4)3:93--103, Edinburgh University Library, December 2009. [PUMA: forschungsdaten provenance curation metadaten] URL

Sytze de Bruin, Arnold Bregt, and Marc van de Ven. Assessing fitness for use: the expected value of spatial data sets. International Journal of Geographical Information Science, (15)5:457-471, Taylor & Francis, 2001. [PUMA: forschungsdaten quality] URL

Martin Fenner, Mercè Crosas, Jeffrey Grethe, David Kennedy, Henning Hermjakob, Philippe Rocca-Serra, Gustavo Durand, Robin Berjon, Sebastian Karcher, Maryann Martone, and Timothy Clark. A Data Citation Roadmap for Scholarly Data Repositories. bioRxiv, Cold Spring Harbor Laboratory, 2017. [PUMA: forschungsdaten citation data] URL

Andreas Schreiber. Standardisierung eines erweiterbaren Modells für Provenance-Daten (PROV-SPEC). In Deutsches Zentrum für Luft-und Raumfahrt (Eds.), 2016-042016. [PUMA: standard forschungsdaten provenance metadata]

Nick Barnes. Publish your computer code: it is good enough. Nature, (467)7317:753, 2010. [PUMA: software softwareLizenzMotivation litQSaFE] URL

T. Kurz, P. Eberhard, C. Henninger, and W. Schiehlen. From Neweul to Neweul-M2: symbolical equations of motion for multibody system analysis and synthesis. Multibody System Dynamics, (24)1:25--41, Jun 1, 2010. [PUMA: software engineering litQSaFE] URL

Jörg Fehr, and Jan Heiland, Christian Himpe, and Jens Saak. Best practices for replicability, reproducibility and reusability of computer-based experiments exemplified by model reduction software. AIMS Mathematics, (1)3:261--281, American Institute of Mathematical Sciences (AIMS), 2016. [PUMA: bestPractice forschungsdaten litQSaFE] URL

Jörg Desel, Dorothea Tippe, Ralf Klinkenberg, Stefan Rüping, Andreas Fick, Nicola Henze, and Christian Herzog. Vorteile von computergestütztem Lernen in Gruppen aus Sicht der Pädagogischen Psychologie. Universität Eichstätt, 2001. [PUMA: myown]

Greg Wilson. Software Carpentry: lessons learned. F1000Research, F1000 Research, Ltd., January 2016. [PUMA: scientic computing lessonsLearned teaching] URL

P. Peças, U. Götze, E. Henriques, I. Ribeiro, A. Schmidt, and C. Symmank. Life Cycle Engineering – Taxonomy and State-of-the-Art. Procedia CIRP, (48):73 - 78, 2016. [PUMA: engineering taxonomy lifeCycleEngineering] URL

Richard B. Frost. A Suggested Taxonomy for Engineering Design Problems. Journal of Engeering Design, (5)4:399-410, 1994. [PUMA: design problems engineering taxonomy]

Cord Wiljes, and Philipp Cimiano. Teaching Research Data Management for Students. Data Science Journal, (18)1:38, 2019. [PUMA: forschungsdaten schulung forschungsdatenmanagement]

Timothy Lebo, Satya Sahoo, Deborah McGuinness, Khalid Belhajjame, James Cheney, David Corsar, Daniel Garijo, Stian Soiland-Reyes, Stephan Zednik, and Jun Zhao. PROV-O: The PROV Ontology. 2013. [PUMA: forschungsdaten provenance metadata] URL

Colleen Fallaw, Elise Dunham, Elizabeth Wickes, Dena Strong, Ayla Stein, Qian Zhang, Kyle R. Rimkus, William Ingram, and Heidi J. Imker. Overly honest data repository development. In Code4Lib (Eds.), The Code4Lib Journal, (34)October 2016. [PUMA: forschungsdaten development repository] URL

B. D. McCullough, Kerry Anne McGeary, and Teresa D. Harrison. Do Economics Journal Archives Promote Replicable Research?. The Canadian Journal of Economics / Revue canadienne d'Economique, (41)4:1406-1420, Wiley, Canadian Economics Association, 2008. [PUMA: forschungsdaten software wirtschaft softwareLizenzMotivation repository] URL

Victoria Stodden, Peixuan Guo, and Zhaokun Ma. Toward Reproducible Computational Research: An Empirical Analysis of Data and Code Policy Adoption by Journals. PLOS ONE, (8)6:1-8, Public Library of Science, June 2013. [PUMA: software reproducibility softwareLizenzMotivation journals] URL

Victoria Stodden, Randall J. LeVeque, and Ian Mitchell. Reproducible Research for Scientific Computing: Tools and Strategies for Changing the Culture.. Computing in Science Engineering, (14)4:13-17, July 2012. [PUMA: software reproducibility softwareLizenzMotivation] URL

Brooks Hanson, Andrew Sugden, and Bruce Alberts. Making Data Maximally Available. Science, (331)6018:649, February 2011. [PUMA: science forschungsdaten software journals] URL

Sergey Fomel, Paul Sava, Ioan Vlad, Yang Liu, and Vladimir Bashkardin. Madagascar: open-source software project for multidimensional data analysis and reproducible computational experiments. Journal of Open Research Software, (1)12013. [PUMA: forschungsdaten software reproducibility] 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

Laura Soito, and Lorraine J Hwang. Citations for Software: Providing Identification, Access and Recognition for Research Software. In National Science Foundation (US) (Eds.), IJDC, (11)2:48-63, 2016. [PUMA: citation software] URL

Francine Berman. Got Data?: A Guide to Data Preservation in the Information Age. Commun. ACM, (51)12:50--56, ACM, New York, NY, USA, December 2008. [PUMA: forschungsdaten preservation] URL

Daniel Burda, and Frank Teuteberg. Sustaining Accessibility of Information Through Digital Preservation: A Literature Review. J. Inf. Sci., (39)4:442--458, Sage Publications, Inc., Thousand Oaks, CA, USA, August 2013. [PUMA: preservation] URL

Andrew M. Cox, Mary Anne Kennan, Liz Lyon, and Stephen Pinfield. Developments in research data management in academic libraries: Towards an understanding of research data service maturity. Journal of the Association for Information Science and Technology, (68)9:2182--2200, 2017. [PUMA: forschungsdaten befragung] URL

Lucas N. Joppa, Greg McInerny, Richard Harper, Lara Salido, Kenji Takeda, Kenton O’Hara, David Gavaghan, and Stephen Emmott. Troubling Trends in Scientific Software Use. Science, (340)6134:814--815, American Association for the Advancement of Science, 2013. [PUMA: forschungsdaten software] URL

M. van der Kamp, R. Schaeffer, A. Jonsson, A. Scouras, A. Simms, R. Toofanny, N. Benson, P. Anderson, E. Merkley, S. Rysavy, D. Bromley, D. Beck, and V. Daggett. Dynameomics: a comprehensive database of protein dynamics. Structure, (18)2010. [PUMA: imported molecularSimulation] URL

Joan Starr, Eleni Castro, Mercè Crosas, Michel Dumontier, Robert R. Downs, Ruth Duerr, Laurel L. Haak, Melissa Haendel, Ivan Herman, Simon Hodson, Joe Hourclé, John Ernest Kratz, Jennifer Lin, Lars Holm Nielsen, Amy Nurnberger, Stefan Proell, Andreas Rauber, Simone Sacchi, Arthur Smith, Mike Taylor, and Tim Clark. Achieving human and machine accessibility of cited data in scholarly publications. PeerJ Computer Science, 2015. [PUMA: forschungsdaten metadata citation]

Richard Grunzke, Sebastian Breuers, Sandra Gesing, Sonja Herres-Pawlis, Martin Kruse, Dirk Blunk, Luis de la Garza, Lars Packschies, Patrick Schäfer, Charlotta Schärfe, Tobias Schlemmer, Thomas Steinke, Bernd Schuller, Ralph Müller-Pfefferkorn, René Jäkel, Wolfgang E. Nagel, Malcolm P. Atkinson, and Jens Krüger. Standards-based metadata management for molecular simulations.. Concurrency and Computation: Practice and Experience, (26)10:1744-1759, 2014. [PUMA: forschungsdaten metadata molecular simulation itt engineering] URL

Jörg Meyer, Marcus Hardt, Achim Streit, and Jos van Wezel. Archival Services and Technologies for Scientific Data. Journal of Physics: Conference Series, (513)6:062033, 2014. [PUMA: forschungsdaten bogdata archivierung] URL

C Jung, M Gasthuber, A Giesler, M Hardt, J Meyer, F Rigoll, K Schwarz, R Stotzka, and A Streit. Optimization of data life cycles. Journal of Physics: Conference Series, (513)3:032047, 2014. [PUMA: bigdata forschungsdaten] URL

Jung-Ran Park. Metadata Quality in Digital Repositories: A Survey of the Current State of the Art. Cataloging & Classification Quarterly, (47)3-4:213-228, Routledge, 2009. [PUMA: imported forschungsdaten metadata survey quality repository] 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: forschungsdaten motivation reproducibility chemistry simulations thermodynamics] URL

Hartwig Anzt, Felix Bach, Stephan Druskat, Frank Löffler, Axel Loewe, Bernhard Y. Renard, Gunnar Seemann, Alexander Struck, Elke Achhammer, Piush Aggarwal, Franziska Appel, Michael Bader, Lutz Brusch, Christian Busse, Gerasimos Chourdakis, Piotr Wojciech Dabrowski, Peter Ebert, Bernd Flemisch, Sven Friedl, Bernadette Fritzsch, Maximilian D. Funk, Volker Gast, Florian Goth, Jean-Noël Grad, Jan Hegewald, Sibylle Hermann, Florian Hohmann, Stephan Janosch, Dominik Kutra, Jan Linxweiler, Thilo Muth, Wolfgang Peters-Kottig, Fabian Rack, Fabian H.C. Raters, Stephan Rave, Guido Reina, Malte Reißig, Timo Ropinski, Joerg Schaarschmidt, Heidi Seibold, Jan P. Thiele, Benjamin Uekermann, Stefan Unger, and Rudolf Weeber. An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. F1000Research, (9):295, F1000 Research Ltd, January 2021. [PUMA: forschungsdaten metadata software] URL

Daniel S. Katz, Morane Gruenpeter, and Tom Honeyman. Taking a fresh look at FAIR for research software. Patterns, (2)3Elsevier, March 2021. [PUMA: forschungsdaten fairPrinciples software] URL

Li Cai, and Yangyong Zhu. The Challenges of Data Quality and Data Quality Assessment in the Big Data Era. Data Science Journal, (14)0:2, Ubiquity Press, Ltd., May 2015. [PUMA: forschungsdaten metadata quality] URL

Khalid Belhajjame, Jun Zhao, Daniel Garijo, Matthew Gamble, Kristina Hettne, Raul Palma, Eleni Mina, Oscar Corcho, José Manuel Gómez-Pérez, Sean Bechhofer, Graham Klyne, and Carole Goble. Using a suite of ontologies for preserving workflow-centric research objects. Journal of Web Semantics, (32):16 - 42, 2015. [PUMA: forschungsdaten metadata useCases researchObjects] URL

Björn Schembera. Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data. In Hamid Arabnia (Eds.), The Journal of Supercomputing, 2021. [PUMA: forschungsdaten hpc-computing metadata tools automated] URL

Sarah Oppold, and Melanie Herschel. Accountable Data Analytics Start with Accountable Data: The LiQuID Metadata Model. 2020. [PUMA: metadata rechtlicheFragestellungen ethischeFragestellungen quality]

Pierre Tremouilhac, Chia-Lin Lin, Pei-Chi Huang, Yu-Chieh Huang, An Nguyen, Nicole Jung, Felix Bach, Robert Ulrich, Bernhard Neumair, Achim Streit, and Stefan Bräse. The Repository Chemotion: Infrastructure for Sustainable Research in Chemistry. April 2020. [PUMA: chemie forschungsdaten tools repository] URL

Jörg Baz, Christoph Held, Jürgen Pleiss, and Niels Hansen. Thermophysical properties of glyceline-water mixtures investigated by molecular modelling. Physical Chemistry Chemical Physics, (21):6467 - 6476, 2019. [PUMA: dfgSimScience]

Jens Dierkes, and Constanze Curdt. Von der Idee zum Konzept – Forschungsdatenmanagement an der Universität zu Köln. o-bib. Das offene Bibliotheksjournal / Herausgeber VDB, (5)2:28-46, 2018. [PUMA: forschungsdaten aufbau litPHBFD] URL

Stefan Wesner, Thomas Walter, Bernd Wiebelt, Dirk von Suchodoletz, and Gerhard Schneider. Strukturen und Gremien einer bwHPC-Governance--Momentaufnahmen und Perspektiven. Kooperation von Rechenzentren Governance und Steuerung--Organisation, Rechtsgrundlagen, Politik, 315--329, 2016. [PUMA: forschungsdaten storage hpc governance]

Hartwig Anzt, Felix Bach, Stephan Druskat, Frank Löffler, Axel Loewe, Bernhard Y. Renard, Gunnar Seemann, Alexander Struck, Elke Achhammer, Piush Aggarwal, Franziska Appel, Michael Bader, Lutz Brusch, Christian Busse, Gerasimos Chourdakis, Piotr Wojciech Dabrowski, Peter Ebert, Bernd Flemisch, Sven Friedl, Bernadette Fritzsch, Maximilian D. Funk, Volker Gast, Florian Goth, Jean-Noël Grad, Sibylle Hermann, Florian Hohmann, Stephan Janosch, Dominik Kutra, Jan Linxweiler, Thilo Muth, Wolfgang Peters-Kottig, Fabian Rack, Fabian H.C. Raters, Stephan Rave, Guido Reina, Malte Reißig, Timo Ropinski, Joerg Schaarschmidt, Heidi Seibold, Jan P. Thiele, Benjamin Uekermann, Stefan Unger, and Rudolf Weeber. An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. F1000Research, (9):295, F1000 Research Ltd, April 2020. [PUMA: forschungsdaten software] URL

Demitri Muna, Michael Alexander, Alice Allen, Richard Ashley, Daniel Asmus, Ruyman Azzollini, Michele Bannister, Rachael Beaton, Andrew Benson, G. Bruce Berriman, Maciej Bilicki, Peter Boyce, Joanna Bridge, Jan Cami, Eryn Cangi, Xian Chen, Nicholas Christiny, Christopher Clark, Michelle Collins, Johan Comparat, Neil Cook, Darren Croton, Isak Delberth Davids, Éric Depagne, John Donor, Leonardo A. dos Santos, Stephanie Douglas, Alan Du, Meredith Durbin, Dawn Erb, Daniel Faes, J. G. Fernández-Trincado, Anthony Foley, Sotiria Fotopoulou, Søren Frimann, Peter Frinchaboy, Rafael Garcia-Dias, Artur Gawryszczak, Elizabeth George, Sebastian Gonzalez, Karl Gordon, Nicholas Gorgone, Catherine Gosmeyer, Katie Grasha, Perry Greenfield, Rebekka Grellmann, James Guillochon, Mark Gurwell, Marcel Haas, Alex Hagen, Daryl Haggard, Tim Haines, Patrick Hall, Wojciech Hellwing, Edmund Christian Herenz, Samuel Hinton, Renee Hlozek, John Hoffman, Derek Holman, Benne Willem Holwerda, Anthony Horton, Cameron Hummels, Daniel Jacobs, Jens Juel Jensen, David Jones, Arna Karick, Luke Kelley, Matthew Kenworthy, Ben Kitchener, Dominik Klaes, Saul Kohn, Piotr Konorski, Coleman Krawczyk, Kyler Kuehn, Teet Kuutma, Michael T. Lam, Richard Lane, Jochen Liske, Diego Lopez-Camara, Katherine Mack, Sam Mangham, Qingqing Mao, David J. E. Marsh, Cecilia Mateu, Loïc Maurin, James McCormac, Ivelina Momcheva, Hektor Monteiro, Michael Mueller, Roberto Munoz, Rohan Naidu, Nicholas Nelson, Christian Nitschelm, Chris North, Juan Nunez-Iglesias, Sara Ogaz, Russell Owen, John Parejko, Vera Patrício, Joshua Pepper, Marshall Perrin, Timothy Pickering, Jennifer Piscionere, Richard Pogge, Radek Poleski, Alkistis Pourtsidou, Adrian M. Price-Whelan, Meredith L. Rawls, Shaun Read, Glen Rees, Hanno Rein, Thomas Rice, Signe Riemer-Sørensen, Naum Rusomarov, Sebastian F. Sanchez, Miguel Santander-García, Gal Sarid, William Schoenell, Aleks Scholz, Robert L. Schuhmann, William Schuster, Peter Scicluna, Marja Seidel, Lijing Shao, Pranav Sharma, Aleksandar Shulevski, David Shupe, Cristóbal Sifón, Brooke Simmons, Manodeep Sinha, Ian Skillen, Bjoern Soergel, Thomas Spriggs, Sundar Srinivasan, Abigail Stevens, Ole Streicher, Eric Suchyta, Joshua Tan, O. Grace Telford, Romain Thomas, Chiara Tonini, Grant Tremblay, Sarah Tuttle, Tanya Urrutia, Sam Vaughan, Miguel Verdugo, Alexander Wagner, Josh Walawender, Andrew Wetzel, Kyle Willett, Peter K. G. Williams, Guang Yang, Guangtun Zhu, and Andrea Zonca. The Astropy Problem. 2016. [PUMA: rse software recognition credit] URL

Bernhard Haslhofer, and Wolfgang Klas. A survey of techniques for achieving metadata interoperability. ACM Comput. Surv., (42)2:7:1-7:37, February 2010. [PUMA: forschungsdaten metadata interoperability] URL

Simone Lauterbach, Hannah Dienhart, Jan Range, Stephan Malzacher, Jan-Dirk Spöring, Dörte Rother, Maria Filipa Pinto, Pedro Martins, Colton E. Lagerman, Andreas S. Bommarius, Amalie Vang Høst, John M. Woodley, Sandile Ngubane, Tukayi Kudanga, Frank T. Bergmann, Johann M. Rohwer, Dorothea Iglezakis, Andreas Weidemann, Ulrike Wittig, Carsten Kettner, Neil Swainston, Santiago Schnell, and Jürgen Pleiss. EnzymeML: seamless data flow and modeling of enzymatic data. Nature Methods, Feb 9, 2023. [PUMA: myown forschungsdaten metadata] URL

Paul Richmond, Dawn Walker, Simon Coakley, and Daniela Romano. High performance cellular level agent-based simulation with FLAME for the GPU. Briefings in bioinformatics, (11)3:334--347, Oxford Univ Press, 2010. [PUMA: simulations tools]

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