Publications of Tomasz Miksa

2024

[SKM+24]
Moritz Staudinger, Bettina M. J. Kern, Tomasz Miksa, Lukas Arnhold, Peter Knees, Andreas Rauber, and Allan Hanbury. Mission reproducibility: An investigation on reproducibility issues in machine learning and information retrieval research. In 2024 IEEE 20th International Conference on e-Science (e-Science), pages 1--9, 2024. [ bib | DOI ]
[NHW+24]
Sebastian Netscher, Daniela Hausen, Chris Wiley, Ivonne Anders, Kevin Ashley, Christin Henzen, Sarah Jones, Tomasz Miksa, and Maria Praetzellis. Data Management Planning across Disciplines and Infrastructures. Introduction to the Special Collection. Data Science Journal, 23, 2024. [ bib | DOI ]
[MMS+24]
Derek Molnar, Tomasz Miksa, Christiane Stork, Valentin Futterer, Laura Thaci, Ilire Hasani-Mavriqi, and David Eckhard. DAMAP: a tool for machine-actionable Data Management Plans. In 16th Conference on Current Research Information Systems, 2024. [ bib | http ]

2023

[BHMJQ+23]
Alexander Bardel, Ilire Hasani-Mavriqi, Claire Jean-Quartier, Peter Schaffer, Therese Macher, Tereza Kalova, Michael Feichtinger, Monika Bargmann, Barbara Sanchez Solis, Christiane Stork, Tomasz Miksa, and Florina Piroi. Data Stewardship - Austrian National Strategy and Alignment. Zeitschrift fur Hochschulentwicklung, 18(Sonderheft Forschung):65--88, November 2023. [ bib | DOI ]
[SHM+23]
M. Staudinger, T. Hajszan, Tomasz Miksa, I. Himmelbauer, D. Aberer, A. Rauber, and W. Dorigo. Reproducible query processing and data citation of in situ soil moisture data. In 2023 IEEE 19th International Conference on e-Science (e-Science), pages 1--10, Los Alamitos, CA, USA, oct 2023. IEEE Computer Society. [ bib | DOI | http ]
[MSS+23]
Tomasz Miksa, Marek Suchanek, Jan Slifka, Vojtech Knaisl, Fajar J. Ekaputra, Filip Kovacevic, Annisa Maulida Ningtyas, Alaa El-Ebshihy, and Robert Pergl. Towards a toolbox for automated assessment of machine-actionable data management plans. Data Science Journal, Aug 2023. [ bib | DOI ]
[MTME23]
Max Moser, Sotirios Tsepelakis, Tomasz Miksa, and David Eckhard. Connecting data repositories and DMP tools using madmps. In Leyla Jael Castro, Danilo Dessì, Jens Dierkes, Dietrich Rebholz-Schuhmann, and Sonja Schimmler, editors, 3rd Workshop on Metadata and Research (objects) Management for Linked Open Science - DaMaLOS 2023, co-located with ESWC 2023, Hersonissos, Greece, May 29, 2023, 2023. [ bib | DOI | http ]
[BWE+23]
Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Sotirios Karampatakis, Tomasz Miksa, and Gregor Käfer. Combining semantic web and machine learning for auditable legal key element extraction. In Catia Pesquita, Ernesto Jiménez-Ruiz, Jamie P. McCusker, Daniel Faria, Mauro Dragoni, Anastasia Dimou, Raphaël Troncy, and Sven Hertling, editors, The Semantic Web - 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28 - June 1, 2023, Proceedings, volume 13870 of Lecture Notes in Computer Science, pages 609--624. Springer, 2023. [ bib | DOI | http ]

2022

[EWF+22]
Fajar J. Ekaputra, Martin Weise, Katharina Flicker, Mohd. Rizal Bin Salleh, Md. Nizam Abd Rahman, Azrul Azwan Abd Rahman, Tomasz Miksa, and Andreas Rauber. Towards a data repository for educational factories. In 2022 International Conference on Data and Software Engineering (ICoDSE). IEEE, nov 2022. [ bib | DOI ]
[CCE+22]
Joao Cardoso, Leyla J. Castro, Fajar J. Ekaputra, Marie C. Jacquemot, Marek Suchanek, Tomasz Miksa, and Jose Borbinha. DCSO: towards an ontology for machine-actionable data management plans. Journal of Biomedical Semantics, 13(21), 2022. [ bib | DOI ]
[MRSS22]
Tomasz Miksa, Andreas Rauber, Barabara Sanchez, and Bernd Saurugger. Upskilling master students: Adding data management competence for all domains. In EDULEARN22 Proceedings, 14th International Conference on Education and New Learning Technologies, page 2822, Palma, Spain, 4-6 July 2022. IATED. [ bib | DOI | www: | http ]
[EEM+22]
Fajar J. Ekaputra, Andreas Ekelhart, Rudolf Mayer, Tomasz Miksa, Tanja Sarcevic, Sotirios Tsepelakis, and Laura Waltersdorfer. Semantic-enabled architecture for auditable privacy-preserving data analysis. Semantic Web, pages 1--34, 2022. [ bib | DOI ]
[BWE+22]
Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Tomasz Miksa, and Marta Sabou. A lifecycle framework for semantic web machine learning systems. In Database and Expert Systems Applications - DEXA 2022 Workshops, pages 359--368, Cham, 2022. Springer International Publishing. [ bib | www: ]

2021

[BGG+21]
Susanne Blumesberger, Nikos Gänsdorfer, Raman Ganguly, Eva Gergely, Alexander Gruber, Ilire Hasani-Mavriqi, Tereza Kalová, Christoph Ladurner, Therese Macher, Tomasz Miksa, Barbara Sanchéz Solís, Hermann Schranzhofer, Christiane Stork, Sarah Stryeck, and Heike Thöricht. FAIR Data Austria - Aligning the Implementation of FAIR Tools and Services. Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare, 74(2), November 2021. [ bib | DOI ]
[FBM21]
Raffael Foidl, Lea Salome Brugger, and Tomasz Miksa. Automating Evaluation of Machine-Actionable Data Management Plans with Semantic Web Technologies. In DaMaLOS - 2nd Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2021. PUBLISSO, November 2021. [ bib | DOI ]
[MWN+21]
Tomasz Miksa, Paul Walk, Peter Neish, Simon Oblasser, Hollydawn Murray, Tom Renner, Marie-Christine Jacquemot-Perbal, João Cardoso, Trond Kvamme, Maria Praetzellis, Marek Suchánek, Rob Hooft, Benjamin Faure, Hanne Moa, Adil Hasan, and Sarah Jones. Application profile for machine-actionable data management plans. CODATA Data Science Journal, 20(1):32, October 2021. [ bib | DOI ]
[SPM+21]
Matthias Schramm, Edzer Pebesma, Milutin Milenković, Luca Foresta, Jeroen Dries, Alexander Jacob, Wolfgang Wagner, Matthias Mohr, Markus Neteler, Miha Kadunc, Tomasz Miksa, Pieter Kempeneers, Jan Verbesselt, Bernhard Gößwein, Claudio Navacchi, Stefaan Lippens, and Johannes Reiche. The openEO API - Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities. Remote Sensing, 13(6):1125, March 2021. [ bib | DOI | http ]
[HMK+21]
Alex Hofmann, Tomasz Miksa, Peter Knees, Asztrik Bakos, Hande Sağlam, Ardian Ahmedaja, Boonsit Yimwadsana, Clare Chan, and Andreas Rauber. Enabling FAIR use of ethnomusicology data through distributed repositories, linked data and music information retrieval. Empirical Musicology Review, 16(1):47--64, dec 2021. [ bib | DOI ]
[MOR21]
Tomasz Miksa, Simon Oblasser, and Andreas Rauber. Automating research data management using machine-actionable data management plans. ACM Trans. Manage. Inf. Syst., 13(2), dec 2021. [ bib | DOI | http ]
[CCM21]
João Cardoso, Leyla Jael Castro, and Tomasz Miksa. Interconnecting Systems Using Machine-Actionable Data Management Plans Hackathon Report. CODATA Data Science Journal, 20, 2021. [ bib | DOI ]
[RGZ+21a]
Andreas Rauber, Bernhard Gößwein, Carlo Maria Zwölf, C. Schubert, Florian Wörister, James Duncan, Katharina Flicker, Koji Zettsu, Kristof Meixner, Leslie D. McIntosh, Reyna Jenkyns, Stefan Pröll, Tomasz Miksa, and Mark A. Parsons. Precisely and persistently identifying and citing arbitrary subsets of dynamic data. Harvard Data Science Review, 2021. [ bib | DOI ]
[MSMW21]
Tomasz Miksa, Tanja Sarcevic, Rudolf Mayer, and Laura Waltersdorfer. WellFort: A Platform for Privacy-Preserving Data Analysis. ERCIM News, 2021(126), 2021. [ bib | http ]
[AES+21]
Peb Ruswono Aryan, Fajar J. Ekaputra, Marta Sabou, Daniel Hauer, Ralf Mosshammer, Alfred Einfalt, Tomasz Miksa, and Andreas Rauber. Explainable Cyber-Physical Energy Systems based on Knowledge Graph. In 2021 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, 2021. [ bib ]
[RGZ+21b]
Andreas Rauber, Bernhard Gößwein, Carlo Maria Zwölf, C. Schubert, Florian Wörister, James Duncan, Katharina Flicker, Koji Zettsu, Kristof Meixner, Leslie D. McIntosh, Reyna Jenkyns, Stefan Pröll, Tomasz Miksa, and Mark A. Parsons. Precisely and persistently identifying and citing arbitrary subsets of dynamic data. Harvard Data Science Review, 2021. [ bib | DOI ]

2020

[MJA20]
Tomasz Miksa, Maroua Jaoua, and Ghaith Arfaoui. Research Object Crates and Machine-actionable Data Management Plans. In DaMaLOS - First Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020. PUBLISSO, November 2020. [ bib | DOI ]
[AES+20]
P. R. Aryan, F. J. Ekaputra, M. Sabou, D. Hauer, R. Mosshammer, A. Einfalt, Tomasz Miksa, and A. Rauber. Simulation Support for Explainable Cyber-Physical Energy Systems. In 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, pages 1--6. IEEE, April 2020. [ bib | DOI ]
[OMK20]
Simon Oblasser, Tomasz Miksa, and Asanobu Kitamoto. Finding a Repository with the Help of Machine-Actionable DMPs: Opportunities and Challenges. International Journal of Digital Curation, 15(1), March 2020. [ bib | DOI ]
[JPH+20]
Sarah Jones, Robert Pergl, Rob Hooft, Tomasz Miksa, Robert Samors, Judit Ungvari, Rowena I. Davis, and Tina Lee. Data Management Planning: How Requirements and Solutions are Beginning to Converge. Data Intelligence, 2(1-2):208--219, 2020. [ bib | DOI | arXiv | http ]
[CCE+20]
João Cardoso, Leyla Jael Garcia Castro, Fajar Ekaputra, Marie-Christine Jacquemot-Perbal, Tomasz Miksa, and José Borbinha. Towards semantic representation of machine-actionable Data Management Plans. In DaMaLOS - First Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020. PUBLISSO, 2020. [ bib | DOI ]

2019

[AAM+19]
Rawia Awadallah, Iyad ALAgha, Tomasz Miksa, Andreas Rauber, Joy Davidson, Adnan Yahya, Anna Maria Tammaro, Stefano Caselli, Janet Anderson, David Anderson, Nael Salman, and Yousef AbuZir. Setting up Open Access Repositories : Challenges and Lessons from Palestine. In 16th International Conference on Digital Preservation, iPRES 2019, Amsterdam, NL, September 2019. [ bib | DOI ]
[GMRW19]
Bernhard Gößwein, Tomasz Miksa, Andreas Rauber, and Wolfgang Wagner. Data Identification and Process Monitoring for Reproducible Earth Observation Research. In IEEE eScience 2019, pages 28--38. IEEE, September 2019. [ bib | DOI | http | http ]
[MSSR+19]
Tomasz Miksa, Barbara Solis-Sanchez, Andras Rauber, Paolo. Budroni, and Raman Ganguly. RDA Austria - Abbauen Von Hindernissen Beim Teilen Von Daten. VOEB-Mitteilungen, 72(2):365--372, 2019. [ bib | DOI ]
[MSMJ19]
Tomasz Miksa, S. Simms, D. Mietchen, and S. Jones. Ten Principles for Machine-actionable Data Management Plans. PLoS computational biology, 15(3):e1006750, 2019. [ bib | DOI ]
[SPW+19]
M. Schramm, E. Pebesma, W. Wagner, J. Verbesselt, J. Dries, C. Briese, A. Jakob, M. Mohr, M. Neteler, T. Mistelbauer, Tomasz Miksa, S. Gebbert, B. Gößwein, M. Kadunc, P. Kempeneers, and N. Gorelick. openEO - A standardised connection to and between Earth observation service providers. In S. Albani P. Soille, S. Loekken, editor, Big Data from Space (BiDS'19). Publications Office of the European Union, 2019. [ bib | DOI ]

2018

[SJM+18]
Stephanie Simms, Sarah Jones, Tomasz Miksa, Daniel Mietchen, Natasha Simons, and Kathryn Unsworth. A Landscape Survey of ActiveDMPs. International Journal of Digital Curation, 13(1):204--214, December 2018. [ bib | DOI | http | http ]
[MCB18]
Tomasz Miksa, J. Cardoso, and J. Borbinha. Framing the scope of the common data model for machine-actionable Data Management Plans. pages 2733--2742. IEEE, December 2018. [ bib | DOI | http ]
[BMR18]
Asztrik Bakos, Tomasz Miksa, and Andreas Rauber. Research Data Preservation Using Process Engines and Machine-Actionable Data Management Plans. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11057:69--80, September 2018. [ bib | DOI | http | http ]
[MNWR18]
Tomasz Miksa, Peter Neish, Paul Walk, and Andreas Rauber. Defining Requirements for Machine-actionable Data Management Plans. In Nance McGovern and Ann Whiteside, editors, Proceedings of the 15th International Conference on Digital Preservation, iPRES 2018, Boston, MA, USA, September 24-28, 2018, 2018. [ bib | http ]
[CMB18]
J. Cardoso, Tomasz Miksa, and J. Borbinha. Debunking Active Data Management Plans. Proceedings - 2018 IEEE International Conference on Big Data, pages 5308--5310, 2018. [ bib | DOI | http ]

2017

[MR17]
Tomasz Miksa and Andreas Rauber. Using ontologies for verification and validation of workflow-based experiments. Web Semantics: Science, Services and Agents on the World Wide Web, 43(Supplement C):25--45, March 2017. [ bib | DOI | http | http ]
[SJMM17]
Stephanie Simms, Sarah Jones, Daniel Mietchen, and Tomasz Miksa. Machine-actionable Data Management Plans (maDMPs). Research Ideas and Outcomes (RIO), 2017. [ bib | DOI | http ]
[BGM+17]
P. Budroni, R. Ganguly, Tomasz Miksa, A. Rauber, and B.S. Solís. RDA Europe workshop -- From planning to action.Towards the establishment of an Austrian research infrastructure. VOEB-Mitteilungen, 70(3-4):382--389, 2017. [ bib | DOI ]
[MRGB17]
Tomasz Miksa, Andreas Rauber, Roman Ganguly, and Paolo Budroni. Information Integration for Machine Actionable Data Management Plans. The International Journal of Digital Curation., 12(1):22--35, 2017. [ bib | DOI | http | http ]

2016

[MRM16]
Tomasz Miksa, Andreas Rauber, and Eleni Mina. Identifying impact of software dependencies on replicability of biomedical workflows. Journal of Biomedical Informatics, 64:232--254, November 2016. [ bib | DOI | http | http ]

2015

[RMMP15]
Andreas Rauber, Tomasz Miksa, Rudolf Mayer, and Stefan Pröll. Repeatability and re-usability in scientific processes: Process context, data identification and verification. In Leonid A. Kalinichenko and Sergey Starkov, editors, Selected Papers of the XVII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2015), Obninsk, Russia,, volume 1536 of CEUR Workshop Proceedings, pages 246--256. CEUR-WS.org, October 2015. [ bib | .pdf | .pdf ]
[MMR15b]
Tomasz Miksa, Rudolf Mayer, and Andreas Rauber. Raising resilience of web service dependent repository systems. International Journal of Web Information Systems, 11(3):327--346, July 2015. [ bib | DOI | http | .pdf ]
[MMR15a]
Tomasz Miksa, Rudolf Mayer, and Andreas Rauber. Ensuring sustainability of web services dependent processes. International Journal of Computational Science and Engineering (IJCSE), 10:70--81, 2015. [ bib | DOI | .pdf ]
[MR15]
Tomasz Miksa and Andreas Rauber. Beyond data: Process sharing and reuse. ERCIM News, 2015(100):18--19, 2015. [ bib | http | http ]

2014

[Mik14]
Tomasz Miksa. Sustainable escience processes and systems. Bulletin of IEEE Technical Committee on Digital Libraries, 10(1), November 2014. [ bib | .pdf | .pdf ]
[MMS+14]
Tomasz Miksa, Rudolf Mayer, Stephan Strodl, Andreas Rauber, Ricardo Vieira, and Goncalo Antunes. Risk driven selection of preservation activities for increasing sustainability of open source systems and workflows. In Serena Coates, Ross King, Steve Knight, Christopher A. Lee, Peter McKinney, Erin O'Meara, and David Pearson, editors, Proceedings of the 11th International Conference on Digital Preservation, iPRES 2014, Melbourne, Australia, October 6 - 10, 2014, October 2014. [ bib | http | .pdf ]
[MRV14]
Tomasz Miksa, Andreas Rauber, and Ricardo Vieira. Vplan - ontology for collection of process verification data. In Serena Coates, Ross King, Steve Knight, Christopher A. Lee, Peter McKinney, Erin O'Meara, and David Pearson, editors, Proceedings of the 11th International Conference on Digital Preservation, iPRES 2014, Melbourne, Australia, October 6 - 10, 2014, Melbourne, Australia, October 2014. [ bib | www: | http | .pdf ]
[MMR14]
Rudolf Mayer, Tomasz Miksa, and Andreas Rauber. Ontologies for describing the context of scientific experiment processes. In 2014 IEEE 10th International Conference on e-Science, volume 1, pages 153--160. IEEE, October 2014. [ bib | DOI | .pdf ]
[MSR14]
Tomasz Miksa, Stephan Strodl, and Andreas Rauber. Process management plans. International Journal of Digital Curation, 9(1):83--97, August 2014. [ bib | DOI | http | .pdf ]
[BDW+14]
Ulla Bogvad Kejser, Joy Davidson, David Wang, Stephan Strodl, Tomasz Miksa, Kathrine Hougaard Edsen Johansen, Anders Bo Nielsen, and Alex Thirifays. State of the art of cost and benefit models for digital curation. In Archiving Conference, pages 144--149, Berlin, Germany, May 2014. [ bib | DOI ]
[MMUR14]
Tomasz Miksa, Rudolf Mayer, Marco Unterberger, and Andreas Rauber. Resilient web services for timeless business processes. In Proceedings of the 16th International Conference on Information Integration and Web-Based Applications & Services, iiWAS �14, pages 243--252, New York, NY, USA, 2014. Association for Computing Machinery. [ bib | DOI | www: | http ]

2013

[MPM+13]
Tomasz Miksa, Stefan Proell, Rudolf Mayer, Stephan Strodl, Ricardo Vieira, Jose Barateiro, and Andreas Rauber. Framework for verification of preserved and redeployed processes. In 10th International Conference on Preservation of Digital Objects (IPRES2013), September 2013. [ bib ]
[PAM13]
Diogo Proença, Gonçalo Antunes, and Tomasz Miksa. On the assessment of preservability: Method and application. In José Luis Borbinha, Michael Nelson, and Steve Knight, editors, Proceedings of the 10th International Conference on Digital Preservation, iPRES 2013, Lisbon, Portugal, September 2 - 6, 2013, Lisbon, Portugal, September 2013. [ bib | http ]
[MR13]
Tomasz Miksa and Andreas Rauber. Increasing preservability of research by process management plans. In 1st International Workshop on Digital Preservation of Research Methods and Artefacts (DPRMA '13), page 20, July 2013. [ bib ]

2012

[MKPKK12]
Tomasz Miksa, Leszek Koszalka, Iwona Pozniak-Koszalka, and Andrzej Kasprzak. Cost optimization in wide area network design: An evaluation of created algorithms. In Ford Lumban Gaol and Quang Vinh Nguyen, editors, Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science, volume 144 of Advances in Intelligent and Soft Computing, pages 191--197. Springer Berlin Heidelberg, November 2012. [ bib | DOI | www: | http | http ]
[MKK12]
Tomasz Miksa, Leszek Koszalka, and Andrzej Kasprzak. Comparison of heuristic methods applied to optimization of computer networks. In 11th International Conference on Networks, February 2012. [ bib ]