Publications - IMP at IFS, UT Vienna

@inproceedings{10254929,
  author = {M. Staudinger and T. Hajszan and Tomasz Miksa and I. Himmelbauer and D. Aberer and A. Rauber and W. Dorigo},
  booktitle = {2023 IEEE 19th International Conference on e-Science (e-Science)},
  title = {Reproducible Query Processing and Data Citation of in Situ Soil Moisture Data},
  year = {2023},
  volume = {},
  issn = {},
  pages = {1-10},
  abstract = {Data in today's dynamic world undergoes constant change and evolution, spanning various formats such as text, websites, tweets, and sensor readings. Storing and referencing these diverse data types pose significant challenges due to data movement, changes in content or structure, and limited availability. Efficient data identification is crucial for speeding up scientific discovery and result validation, especially when data accessibility is guaranteed. Recent years have witnessed progress in data citation practices, with conferences mandating the inclusion of utilized and generated data. However, existing solutions primarily cater to static datasets, rendering them ineffective for dynamically evolving ones. This paper addresses this gap by providing a tailored dynamic data citation prototype for the International Soil Moisture Network, one of the largest scientific in situ soil moisture databases. Our work encompasses the implementation and evaluation of different data versioning strategies and a query store architecture that enables the citation, reproducibility, and verification of large sets of SQL queries to recreate data requests by users. By applying the RDA Dynamic Data Citation Guidelines, we assess the necessary needs for such a system and further measure the performance and storage impact of our proposed approaches.},
  keywords = {runtime;databases;soil measurements;query processing;soil moisture;prototypes;system recovery},
  doi = {10.1109/e-Science58273.2023.10254929},
  url = {https://doi.ieeecomputersociety.org/10.1109/e-Science58273.2023.10254929},
  publisher = {IEEE Computer Society},
  address = {Los Alamitos, CA, USA},
  month = {oct}
}

@article{Miksa-2023,
  abstract = {Most research funders require Data Management Plans (DMPs). The review process can be time consuming, since reviewers read text documents submitted by researchers and provide their feedback. Moreover, it requires specific expert knowledge in data stewardship, which is scarce. Machine-actionable Data Management Plans (maDMPs) and semantic technologies increase the potential for automatic assessment of information contained in DMPs. However, the level of automation and new possibilities are still not well-explored and leveraged. This paper discusses methods for the automation of DMP assessment. It goes beyond generating human-readable reports. It explores how the information contained in maDMPs can be used to provide automated pre-assessment or to fetch further information, allowing reviewers to better judge the content. We map the identified methods to various reviewer goals.},
  author = {Tomasz Miksa and Suchanek, Marek and Slifka, Jan and Knaisl, Vojtech and Ekaputra, Fajar J. and Kovacevic, Filip and Ningtyas, Annisa Maulida and El-Ebshihy, Alaa and Pergl, Robert},
  doi = {10.5334/dsj-2023-028},
  journal = {Data Science Journal},
  keyword = {en_US},
  month = {Aug},
  title = {Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans},
  year = {2023}
}

@inproceedings{DBLP:conf/damalos/MoserTME23,
  author = {Max Moser and
                  Sotirios Tsepelakis and
                  Tomasz Miksa and
                  David Eckhard},
  editor = {Leyla Jael Castro and
                  Danilo Dess{\`{\i}} and
                  Jens Dierkes and
                  Dietrich Rebholz{-}Schuhmann and
                  Sonja Schimmler},
  title = {Connecting data repositories and {DMP} tools using maDMPs},
  booktitle = {3rd Workshop on Metadata and Research (objects) Management for Linked
                  Open Science - DaMaLOS 2023, co-located with {ESWC} 2023, Hersonissos,
                  Greece, May 29, 2023},
  year = {2023},
  url = {https://doi.org/10.4126/FRL01-006444985},
  doi = {10.4126/FRL01-006444985},
  timestamp = {Fri, 07 Jul 2023 23:07:08 +0200},
  biburl = {https://dblp.org/rec/conf/damalos/MoserTME23.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/esws/BreitWEKMK23,
  author = {Anna Breit and
                  Laura Waltersdorfer and
                  Fajar J. Ekaputra and
                  Sotirios Karampatakis and
                  Tomasz Miksa and
                  Gregor K{\"{a}}fer},
  editor = {Catia Pesquita and
                  Ernesto Jim{\'{e}}nez{-}Ruiz and
                  Jamie P. McCusker and
                  Daniel Faria and
                  Mauro Dragoni and
                  Anastasia Dimou and
                  Rapha{\"{e}}l Troncy and
                  Sven Hertling},
  title = {Combining Semantic Web and Machine Learning for Auditable Legal Key
                  Element Extraction},
  booktitle = {The Semantic Web - 20th International Conference, {ESWC} 2023, Hersonissos,
                  Crete, Greece, May 28 - June 1, 2023, Proceedings},
  series = {Lecture Notes in Computer Science},
  volume = {13870},
  pages = {609--624},
  publisher = {Springer},
  year = {2023},
  url = {https://doi.org/10.1007/978-3-031-33455-9\_36},
  doi = {10.1007/978-3-031-33455-9\_36},
  timestamp = {Fri, 02 Jun 2023 16:15:08 +0200},
  biburl = {https://dblp.org/rec/conf/esws/BreitWEKMK23.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{Ekaputra2022a,
  author = {Fajar J. Ekaputra and Martin Weise and Katharina Flicker and Mohd. Rizal Bin Salleh and Md. Nizam Abd Rahman and Azrul Azwan Abd Rahman and Tomasz Miksa and Andreas Rauber},
  booktitle = {2022 International Conference on Data and Software Engineering ({ICoDSE})},
  title = {Towards A Data Repository for Educational Factories},
  year = {2022},
  month = {nov},
  publisher = {{IEEE}},
  doi = {10.1109/icodse56892.2022.9971958}
}

@article{Hofmann2021,
  author = {Alex Hofmann and Tomasz Miksa and Peter Knees and Asztrik Bakos and Hande Sa{\u{g}}lam and Ardian Ahmedaja and Boonsit Yimwadsana and Clare Chan and Andreas Rauber},
  journal = {Empirical Musicology Review},
  title = {Enabling {FAIR} use of Ethnomusicology Data {\textendash} Through Distributed Repositories, Linked Data and Music Information Retrieval},
  year = {2021},
  month = {dec},
  number = {1},
  pages = {47--64},
  volume = {16},
  doi = {10.18061/emr.v16i1.7632},
  publisher = {The Ohio State University Libraries}
}

@article{Cardoso2022,
  author = {Joao Cardoso and Leyla J. Castro and Fajar J. Ekaputra and Marie C. Jacquemot and Marek Suchanek and Tomasz Miksa and Jose Borbinha},
  journal = {Journal of Biomedical Semantics},
  title = {{DCSO}: towards an ontology for machine-actionable data management plans},
  year = {2022},
  number = {21},
  volume = {13},
  doi = {https://doi.org/10.1186/s13326-022-00274-4}
}

@inproceedings{Miksa2022,
  author = {Tomasz Miksa and Andreas Rauber and Barabara Sanchez and Bernd Saurugger},
  booktitle = {EDULEARN22 Proceedings},
  title = {Upskilling Master Students: Adding Data Management Competence For All Domains},
  year = {2022},
  address = {Palma, Spain},
  month = {4-6 July},
  pages = {2822},
  publisher = {IATED},
  series = {14th International Conference on Education and New Learning Technologies},
  doi = {10.21125/edulearn.2022.0721},
  isbn = {978-84-09-42484-9},
  issn = {2340-1117},
  url = {https://dx.doi.org/10.21125/edulearn.2022.0721}
}

@article{Ekaputra2022,
  author = {Fajar J. Ekaputra and Andreas Ekelhart and Rudolf Mayer and Tomasz Miksa and Tanja Sarcevic and Sotirios Tsepelakis and Laura Waltersdorfer},
  journal = {Semantic Web},
  title = {Semantic-enabled architecture for auditable privacy-preserving data analysis},
  year = {2022},
  pages = {1-34},
  doi = {10.3233/SW-212883},
  publisher = {IOS Press}
}

@article{Miksa2021b,
  author = {Tomasz Miksa and Simon Oblasser and Andreas Rauber},
  journal = {ACM Trans. Manage. Inf. Syst.},
  title = {Automating Research Data Management Using Machine-Actionable Data Management Plans},
  year = {2021},
  issn = {2158-656X},
  month = {dec},
  number = {2},
  volume = {13},
  abstract = {Many research funders mandate researchers to create and maintain data management plans (DMPs) for research projects that describe how research data is managed to ensure its reusability. A DMP, being a static textual document, is difficult to act upon and can quickly become obsolete and impractical to maintain. A new generation of machine-actionable DMPs (maDMPs) was therefore proposed by the Research Data Alliance to enable automated integration of information and updates. maDMPs open up a variety of use cases enabling interoperability of research systems and automation of data management tasks.In this article, we describe a system for machine-actionable data management planning in an institutional context. We identify common use cases within research that can be automated to benefit from machine-actionability of DMPs. We propose a reference architecture of an maDMP support system that can be embedded into an institutional research data management infrastructure. The system semi-automates creation and maintenance of DMPs, and thus eases the burden for the stakeholders responsible for various DMP elements. We evaluate the proposed system in a case study conducted at the largest technical university in Austria and quantify to what extent the DMP templates provided by the European Commission and a national funding body can be pre-filled. The proof-of-concept implementation shows that maDMP workflows can be semi-automated, thus workload on involved parties can be reduced and quality of information increased. The results are especially relevant to decision makers and infrastructure operators who want to design information systems in a systematic way that can utilize the full potential of maDMPs.},
  address = {New York, NY, USA},
  articleno = {18},
  doi = {10.1145/3490396},
  issue_date = {June 2022},
  keywords = {Data management plan, enterprise architecture, automation, FAIR, business processes, RDM, RDA, requirements engineering, funder template, machine-actionable},
  numpages = {22},
  publisher = {Association for Computing Machinery},
  url = {https://doi.org/10.1145/3490396}
}

@article{Blumesberger2021,
  author = {Susanne Blumesberger and Nikos G{\"a}nsdorfer and Raman Ganguly and Eva Gergely and Alexander Gruber and Ilire Hasani-Mavriqi and Tereza Kalov{\'{a}} and Christoph Ladurner and Therese Macher and Tomasz Miksa and Barbara Sanch{\'{e}}z Sol{\'{\i}}s and Hermann Schranzhofer and Christiane Stork and Sarah Stryeck and Heike Th{\"o}richt},
  title = {{{FAIR} Data Austria - Aligning the Implementation of {FAIR} Tools and Services}},
  year = {2021},
  month = {November},
  number = {2},
  volume = {74},
  doi = {10.31263/voebm.v74i2.6379},
  publisher = {Association of Austrian Librarians},
  journal = {Mitteilungen der Vereinigung {\"O}sterreichischer Bibliothekarinnen und Bibliothekare}
}

@article{Cardoso2021,
  author = {Jo{\~{a}}o Cardoso and Leyla Jael Castro and Tomasz Miksa},
  title = {{Interconnecting Systems Using Machine-Actionable Data Management Plans {\textendash} Hackathon Report}},
  journal = {CODATA Data Science Journal},
  year = {2021},
  volume = {20},
  doi = {10.5334/dsj-2021-035},
  publisher = {Ubiquity Press, Ltd.}
}

@article{Rauber2021PreciselyAP,
  title = {Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data},
  author = {Andreas Rauber and Bernhard G{\"o}{\ss}wein and Carlo Maria Zw{\"o}lf and C. Schubert and Florian W{\"o}rister and James Duncan and Katharina Flicker and Koji Zettsu and Kristof Meixner and Leslie D. McIntosh and Reyna Jenkyns and Stefan Pr{\"o}ll and Tomasz Miksa and Mark A. Parsons},
  journal = {Harvard Data Science Review},
  year = {2021},
  doi = {https://doi.org/10.1162/99608f92.be565013}
}

@inproceedings{Miksa2012,
  author = {Tomasz Miksa and Leszek Koszalka and Andrzej Kasprzak},
  booktitle = {11th International Conference on Networks},
  title = {Comparison of heuristic methods applied to optimization of computer networks},
  year = {2012},
  month = feb
}

@inproceedings{Miksa2013a,
  author = {Tomasz Miksa and Stefan Proell and Rudolf Mayer and Stephan Strodl and Ricardo Vieira and Jose Barateiro and Andreas Rauber},
  booktitle = {10th International Conference on Preservation of Digital Objects (IPRES2013)},
  title = {Framework for verification of preserved and redeployed processes},
  year = {2013},
  month = sep
}

@article{Miksa2015,
  author = {Tomasz Miksa and Rudolf Mayer and Andreas Rauber},
  journal = {International Journal of Computational Science and Engineering (IJCSE)},
  title = {{Ensuring sustainability of web services dependent processes}},
  year = {2015},
  pages = {70--81},
  volume = {10},
  doi = {https://doi.org/10.1504/IJCSE.2015.067058},
  pdf = {IJCSE1001_0205 MIKSA.pdf},
  publisher = {Inderscience Publishers}
}

@article{Simms2017,
  author = {Stephanie Simms and Sarah Jones and Daniel Mietchen and Tomasz Miksa},
  journal = {Research Ideas and Outcomes (RIO)},
  title = {{Machine-actionable Data Management Plans (maDMPs)}},
  year = {2017},
  doi = {https://doi.org/10.3897/rio.3.e13086},
  pdf = {https://riojournal.com/article/13086/list/8/}
}

@article{Miksa2019a,
  author = {Tomasz Miksa and Solis-Sanchez, Barbara and Rauber, Andras and Budroni, Paolo. and Ganguly, Raman},
  journal = {VOEB-Mitteilungen},
  title = {{RDA Austria - Abbauen Von Hindernissen Beim Teilen Von Daten}},
  year = {2019},
  number = {2},
  pages = {365--372},
  volume = {72},
  doi = {https://doi.org/10.31263/voebm.v72i2.2833}
}

@article{Miksa2019,
  author = {Tomasz Miksa and Simms, S. and Mietchen, D. and Jones, S.},
  journal = {PLoS computational biology},
  title = {{Ten Principles for Machine-actionable Data Management Plans}},
  year = {2019},
  number = {3},
  pages = {e1006750},
  volume = {15},
  doi = {https://doi.org/10.1371/journal.pcbi.1006750}
}

@article{Budroni2017,
  author = {Budroni, P. and Ganguly, R. and Tomasz Miksa and Rauber, A. and Sol{\'i}s, B.S.},
  journal = {VOEB-Mitteilungen},
  title = {{RDA Europe workshop -- From planning to action.Towards the establishment of an Austrian research infrastructure}},
  year = {2017},
  number = {3-4},
  pages = {382--389},
  volume = {70},
  doi = {https://doi.org/10.31263/voebm.v70i3.1962}
}

@inproceedings{BogvadKejser2014,
  author = {Ulla {Bogvad Kejser} and Joy Davidson and David Wang and Stephan Strodl and Tomasz Miksa and {Kathrine Hougaard} {Edsen Johansen} and Anders {Bo Nielsen} and Alex Thirifays},
  booktitle = {Archiving Conference},
  title = {State of the Art of Cost and Benefit Models for Digital Curation},
  year = {2014},
  address = {Berlin, Germany},
  month = may,
  pages = {144--149},
  doi = {http://hdl.handle.net/109.1.5/150cc77c-b7f7-42da-a4c8-b87918f0aeba},
  journal = {Archiving 2014 - Final Program and Proceedings}
}

@inproceedings{Miksa2013,
  author = {Tomasz Miksa and Andreas Rauber},
  booktitle = {1st International Workshop on Digital Preservation of Research Methods and Artefacts (DPRMA '13)},
  title = {Increasing preservability of research by process management plans},
  year = {2013},
  month = jul,
  pages = {20},
  journal = {ACM International Conference Proceeding Series}
}

@incollection{Miksa2012a,
  author = {Tomasz Miksa and Leszek Koszalka and Iwona Pozniak-Koszalka and Andrzej Kasprzak},
  booktitle = {Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science},
  publisher = {Springer Berlin Heidelberg},
  title = {Cost Optimization in Wide Area Network Design: An Evaluation of Created Algorithms},
  year = {2012},
  editor = {Gaol, Ford Lumban and Nguyen, Quang Vinh},
  isbn = {978-3-642-28313-0},
  month = nov,
  number = {VOL. 1},
  pages = {191--197},
  series = {Advances in Intelligent and Soft Computing},
  volume = {144},
  doi = {10.1007/978-3-642-28314-7_26},
  journal = {Advances in Intelligent and Soft Computing},
  pdf = {https://www.researchgate.net/publication/302257515_Cost_Optimization_in_Wide_Area_Network_Design_An_Evaluation_of_Created_Algorithms},
  url = {http://dx.doi.org/10.1007/978-3-642-28314-7_26}
}

@inproceedings{Aryan2020,
  author = {P. R. Aryan and F. J. Ekaputra and M. Sabou and D. Hauer and R. Mosshammer and A. Einfalt and Tomasz Miksa and A. Rauber},
  booktitle = {8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems},
  title = {{Simulation Support for Explainable Cyber-Physical Energy Systems}},
  year = {2020},
  month = apr,
  pages = {1--6},
  publisher = {IEEE},
  doi = {https://doi.org/10.1109/MSCPES49613.2020.9133700}
}

@article{Jones2020,
  author = {Sarah Jones and Robert Pergl and Rob Hooft and Tomasz Miksa and Robert Samors and Judit Ungvari and Rowena I. Davis and Tina Lee},
  journal = {Data Intelligence},
  title = {{Data Management Planning: How Requirements and Solutions are Beginning to Converge}},
  year = {2020},
  number = {1-2},
  pages = {208--219},
  volume = {2},
  abstract = {Effective stewardship of data is a critical precursor to making data FAIR. The goal of this paper is to bring an overview of current state of the art of data management and data stewardship planning solutions (DMP). We begin by arguing why data management is an important vehicle supporting adoption and implementation of the FAIR principles, we describe the background, context and historical development, as well as major driving forces, being research initiatives and funders. Then we provide an overview of the current leading DMP tools in the form of a table presenting the key characteristics. Next, we elaborate on emerging common standards for DMPs, especially the topic of machine-actionable DMPs. As sound DMP is not only a precursor of FAIR data stewardship, but also an integral part of it, we discuss its positioning in the emerging FAIR tools ecosystem. Capacity building and training activities are an important ingredient in the whole effort. Although not being the primary goal of this paper, we touch also the topic of research workforce support, as tools can be just as much effective as their users are competent to use them properly. We conclude by discussing the relations of DMP to FAIR principles, as there are other important connections than just being a precursor.},
  doi = {10.1162/dint\_a\_00043},
  eprint = {https://doi.org/10.1162/dint_a_00043},
  url = {https://doi.org/10.1162/dint_a_00043}
}

@inproceedings{Schramm2019,
  author = {M. Schramm and E. Pebesma and W. Wagner and J. Verbesselt and J. Dries and C. Briese and A. Jakob and M. Mohr and M. Neteler and T. Mistelbauer and Tomasz Miksa and S. Gebbert and B. G{\"{o}}{\ss}wein and M. Kadunc and P. Kempeneers and N. Gorelick},
  booktitle = {Big Data from Space (BiDS'19)},
  title = {{openEO - A standardised connection to and between Earth observation service providers}},
  year = {2019},
  editor = {P. Soille, S. Loekken, S. Albani},
  publisher = {Publications Office of the European Union},
  doi = {http://dx.doi.org/10.2760/848593}
}

@inproceedings{Awadallah2019,
  author = {Awadallah, Rawia and ALAgha, Iyad and Tomasz Miksa and Rauber, Andreas and Davidson, Joy and Yahya, Adnan and Tammaro, Anna Maria and Caselli, Stefano and Anderson, Janet and Anderson, David and Salman, Nael and AbuZir, Yousef},
  booktitle = {16th International Conference on Digital Preservation, iPRES 2019, Amsterdam, NL},
  title = {{Setting up Open Access Repositories : Challenges and Lessons from Palestine}},
  year = {2019},
  month = sep,
  abstract = {Research outputs produced by developing countries lack visibility. Common reasons are high costs of publishing, reluctance to share,as well as lack of journals focusing on research challenges specific to developing countries. The ongoing change towards open access and the rising popularity of institutional repositories allows for bridging the gap to developed countries. However, this still requires cultural, organizational and technical changes. In this paper, we describe a holistic approach for deploying open access repositories and building research data management services and increasing data curation skills. We describe how we identified users� needs and necessary supporting systems and services. We also explain the rationale and challenges faced when implementing popular repository systems and share experiences in developing institutional data management policies. Finally, we provide common goals for a national roadmap. All these actions are the first step to wards the preservation of both research outputs and cultural assets.The paper is based on our experiences from ROMOR project that helped in establishing policies, systems, and organizational workflows at four Palestinian universities.},
  doi = {http://hdl.handle.net/20.500.11889/6037}
}

@inproceedings{Miksa2018,
  author = {Tomasz Miksa and Peter Neish and Paul Walk and Andreas Rauber},
  booktitle = {Proceedings of the 15th International Conference on Digital Preservation, iPRES 2018, Boston, MA, USA, September 24-28, 2018},
  title = {{Defining Requirements for Machine-actionable Data Management Plans}},
  year = {2018},
  editor = {Nance McGovern and Ann Whiteside},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/ipres/MiksaNWR18.bib},
  timestamp = {Mon, 26 Aug 2019 01:00:00 +0200},
  url = {https://hdl.handle.net/11353/10.923628}
}

@article{Simms2018,
  author = {Stephanie Simms and Sarah Jones and Tomasz Miksa and Daniel Mietchen and Natasha Simons and Kathryn Unsworth},
  journal = {International Journal of Digital Curation},
  title = {{A Landscape Survey of ActiveDMPs}},
  year = {2018},
  month = dec,
  number = {1},
  pages = {204--214},
  volume = {13},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/journals/ijdc/SimmsJMMSU18.bib},
  doi = {10.2218/ijdc.v13i1.629},
  pdf = {http://www.ijdc.net/article/view/629/526},
  timestamp = {Wed, 22 Jul 2020 01:00:00 +0200},
  url = {https://doi.org/10.2218/ijdc.v13i1.629}
}

@article{Miksa2015a,
  author = {Tomasz Miksa and Andreas Rauber},
  journal = {{ERCIM} News},
  title = {Beyond Data: Process Sharing and Reuse},
  year = {2015},
  number = {100},
  pages = {18--19},
  volume = {2015},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/journals/ercim/MiksaR15.bib},
  pdf = {https://ercim-news.ercim.eu/en100/special/beyond-data-process-sharing-and-reuse},
  timestamp = {Wed, 22 May 2019 01:00:00 +0200},
  url = {http://ercim-news.ercim.eu/en100/special/beyond-data-process-sharing-and-reuse}
}

@inproceedings{Goesswein2019,
  author = {Bernhard G{\"{o}}{\ss}wein and Tomasz Miksa and Andreas Rauber and Wolfgang Wagner},
  booktitle = {{IEEE eScience 2019}},
  title = {{Data Identification and Process Monitoring for Reproducible Earth Observation Research}},
  year = {2019},
  month = sep,
  pages = {28--38},
  publisher = {{IEEE}},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/eScience/GossweinMRW19.bib},
  doi = {10.1109/eScience.2019.00011},
  journal = {IEEE 15th International Conference on eScience, eScience 2019},
  pdf = {https://www.researchgate.net/publication/336305868_Data_Identification_and_Process_Monitoring_for_Reproducible_Earth_Observation_Research},
  timestamp = {Sat, 21 Mar 2020 17:14:48 +0100},
  url = {https://doi.org/10.1109/eScience.2019.00011}
}

@article{Cardoso2018,
  author = {Cardoso, J. and Tomasz Miksa and Borbinha, J.},
  journal = {Proceedings - 2018 IEEE International Conference on Big Data},
  title = {{Debunking Active Data Management Plans}},
  year = {2018},
  pages = {5308--5310},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/bigdataconf/CardosoMB18.bib},
  booktitle = {{IEEE} International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018},
  doi = {10.1109/BigData.2018.8621860},
  editor = {Naoki Abe and Huan Liu and Calton Pu and Xiaohua Hu and Nesreen K. Ahmed and Mu Qiao and Yang Song and Donald Kossmann and Bing Liu and Kisung Lee and Jiliang Tang and Jingrui He and Jeffrey S. Saltz},
  publisher = {{IEEE}},
  timestamp = {Thu, 19 Mar 2020 16:53:40 +0100},
  url = {https://doi.org/10.1109/BigData.2018.8621860}
}

@inproceedings{Miksa2018a,
  author = {Tomasz Miksa and Cardoso, J. and Borbinha, J.},
  title = {{Framing the scope of the common data model for machine-actionable Data Management Plans}},
  year = {2018},
  editor = {Naoki Abe and Huan Liu and Calton Pu and Xiaohua Hu and Nesreen K. Ahmed and Mu Qiao and Yang Song and Donald Kossmann and Bing Liu and Kisung Lee and Jiliang Tang and Jingrui He and Jeffrey S. Saltz},
  month = dec,
  pages = {2733--2742},
  publisher = {{IEEE}},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/bigdataconf/MiksaCB18.bib},
  doi = {10.1109/BigData.2018.8622618},
  journal = {2018 IEEE International Conference on Big Data},
  timestamp = {Thu, 19 Mar 2020 16:53:40 +0100},
  url = {https://doi.org/10.1109/BigData.2018.8622618}
}

@article{Miksa2016,
  author = {Tomasz Miksa and Andreas Rauber and Eleni Mina},
  journal = {Journal of Biomedical Informatics},
  title = {{Identifying impact of software dependencies on replicability of biomedical workflows}},
  year = {2016},
  month = nov,
  pages = {232--254},
  volume = {64},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/journals/jbi/MiksaRM16.bib},
  doi = {10.1016/j.jbi.2016.10.011},
  pdf = {http://www.sciencedirect.com/science/article/pii/S1532046416301484},
  timestamp = {Fri, 21 Feb 2020 00:00:00 +0100},
  url = {https://doi.org/10.1016/j.jbi.2016.10.011}
}

@article{Miksa2017,
  author = {Tomasz Miksa and Andreas Rauber and Roman Ganguly and Paolo Budroni},
  journal = {The International Journal of Digital Curation.},
  title = {{Information Integration for Machine Actionable Data Management Plans}},
  year = {2017},
  number = {1},
  pages = {22--35},
  volume = {12},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/journals/ijdc/MiksaRGB17.bib},
  doi = {10.2218/ijdc.v12i1.529},
  pdf = {http://www.ijdc.net/index.php/ijdc/article/view/12.1.22},
  researchfields = {DP},
  timestamp = {Wed, 22 Jul 2020 01:00:00 +0200},
  url = {https://doi.org/10.2218/ijdc.v12i1.529}
}

@inproceedings{Proenca2013,
  author = {Diogo Proen{\c{c}}a and Gon{\c{c}}alo Antunes and Tomasz Miksa},
  booktitle = {Proceedings of the 10th International Conference on Digital Preservation, iPRES 2013, Lisbon, Portugal, September 2 - 6, 2013},
  title = {On the Assessment of Preservability: Method and Application},
  year = {2013},
  address = {Lisbon, Portugal},
  editor = {Jos{\'{e}} Luis Borbinha and Michael Nelson and Steve Knight},
  month = sep,
  _pages = {187-196},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/ipres/ProencaAM13.bib},
  researchfields = {DP},
  timestamp = {Mon, 19 Aug 2019 13:53:22 +0200},
  url = {http://hdl.handle.net/11353/10.378050}
}

@article{Miksa2014,
  author = {Tomasz Miksa and Stephan Strodl and Andreas Rauber},
  journal = {International Journal of Digital Curation},
  title = {Process Management Plans},
  year = {2014},
  month = aug,
  number = {1},
  pages = {83--97},
  volume = {9},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/journals/ijdc/MiksaSR14.bib},
  doi = {10.2218/ijdc.v9i1.303},
  pdf = {process management plans_paper.pdf},
  timestamp = {Wed, 22 Jul 2020 01:00:00 +0200},
  url = {https://doi.org/10.2218/ijdc.v9i1.303}
}

@article{Miksa2015b,
  author = {Tomasz Miksa and Rudolf Mayer and Andreas Rauber},
  journal = {International Journal of Web Information Systems},
  title = {Raising resilience of web service dependent repository systems},
  year = {2015},
  month = jul,
  number = {3},
  pages = {327--346},
  volume = {11},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/journals/ijwis/MiksaMR15.bib},
  doi = {10.1108/IJWIS-04-2015-0011},
  pdf = {http://www.ifs.tuwien.ac.at/~mayer/publications/pdf/mik_15IJWIS.pdf},
  timestamp = {Wed, 20 May 2020 01:00:00 +0200},
  url = {https://doi.org/10.1108/IJWIS-04-2015-0011}
}

@inproceedings{Rauber2015,
  author = {Andreas Rauber and Tomasz Miksa and Rudolf Mayer and Stefan Pr{\"{o}}ll},
  booktitle = {Selected Papers of the {XVII} International Conference on Data Analytics and Management in Data Intensive Domains {(DAMDID/RCDL} 2015), Obninsk, Russia,},
  title = {Repeatability and Re-usability in Scientific Processes: Process Context, Data Identification and Verification},
  year = {2015},
  editor = {Leonid A. Kalinichenko and Sergey Starkov},
  month = oct,
  pages = {246--256},
  publisher = {CEUR-WS.org},
  series = {{CEUR} Workshop Proceedings},
  volume = {1536},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/rcdl/RauberMMP15.bib},
  journal = {CEUR Workshop Proceedings},
  pdf = {DAMDID_150623.pdf},
  timestamp = {Wed, 12 Feb 2020 16:44:31 +0100},
  url = {http://ceur-ws.org/Vol-1536/paper33.pdf}
}

@article{Bakos2018,
  author = {Asztrik Bakos and Tomasz Miksa and Andreas Rauber},
  journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  title = {{Research Data Preservation Using Process Engines and Machine-Actionable Data Management Plans}},
  year = {2018},
  month = sep,
  pages = {69--80},
  volume = {11057},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/ercimdl/BakosMR18.bib},
  booktitle = {Digital Libraries for Open Knowledge, 22nd International Conference on Theory and Practice of Digital Libraries, {TPDL} 2018, Porto, Portugal, September 10-13, 2018, Proceedings},
  doi = {10.1007/978-3-030-00066-0\_6},
  editor = {Eva M{\'{e}}ndez and Fabio Crestani and Cristina Ribeiro and Gabriel David and Jo{\~{a}}o Correia Lopes},
  pdf = {https://www.researchgate.net/publication/327429323_Research_Data_Preservation_Using_Process_Engines_and_Machine-Actionable_Data_Management_Plans_22nd_International_Conference_on_Theory_and_Practice_of_Digital_Libraries_TPDL_2018_Porto_Portugal_Septemb},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {Tue, 14 May 2019 10:00:40 +0200},
  url = {https://doi.org/10.1007/978-3-030-00066-0\_6}
}

@inproceedings{Miksa2014b,
  author = {Tomasz Miksa and Rudolf Mayer and Stephan Strodl and Andreas Rauber and Ricardo Vieira and Goncalo Antunes},
  booktitle = {Proceedings of the 11th International Conference on Digital Preservation, iPRES 2014, Melbourne, Australia, October 6 - 10, 2014},
  title = {Risk driven selection of preservation activities for increasing sustainability of open source systems and workflows},
  year = {2014},
  editor = {Serena Coates and Ross King and Steve Knight and Christopher A. Lee and Peter McKinney and Erin O'Meara and David Pearson},
  month = oct,
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/ipres/MiksaAVRSM14.bib},
  pdf = {http://www.ifs.tuwien.ac.at/~mayer/publications/pdf/mik_ipres14-riskDriven.pdf},
  timestamp = {Mon, 19 Aug 2019 13:53:27 +0200},
  url = {http://hdl.handle.net/11353/10.378104}
}

@article{Miksa2014c,
  author = {Tomasz Miksa},
  journal = {Bulletin of IEEE Technical Committee on Digital Libraries},
  title = {Sustainable eScience processes and systems},
  year = {2014},
  month = nov,
  number = {1},
  volume = {10},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/journals/tcdl/Miksa14.bib},
  pdf = {http://www.ieee-tcdl.org/Bulletin/v10n1/papers/miksa.pdf},
  timestamp = {Tue, 19 May 2020 01:00:00 +0200},
  url = {https://www.ieee-tcdl.org/Bulletin/v10n1/papers/miksa.pdf}
}

@article{Miksa2017a,
  author = {Tomasz Miksa and Andreas Rauber},
  journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
  title = {{Using ontologies for verification and validation of workflow-based experiments}},
  year = {2017},
  issn = {1570-8268},
  month = mar,
  number = {Supplement C},
  pages = {25--45},
  volume = {43},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/journals/ws/MiksaR17.bib},
  doi = {https://doi.org/10.1016/j.websem.2017.01.002},
  keywords = {Verification, Validation, Workflow, Reproducibility, Context model},
  pdf = {http://www.sciencedirect.com/science/article/pii/S1570826817300112},
  researchfields = {DP},
  timestamp = {Wed, 25 Sep 2019 01:00:00 +0200},
  url = {https://doi.org/10.1016/j.websem.2017.01.002}
}

@inproceedings{Miksa2014d,
  author = {Tomasz Miksa and Andreas Rauber and Ricardo Vieira},
  booktitle = {Proceedings of the 11th International Conference on Digital Preservation, iPRES 2014, Melbourne, Australia, October 6 - 10, 2014},
  title = {VPlan - Ontology for Collection of Process Verification Data},
  year = {2014},
  address = {Melbourne, Australia},
  editor = {Serena Coates and Ross King and Steve Knight and Christopher A. Lee and Peter McKinney and Erin O'Meara and David Pearson},
  month = oct,
  _pdf = {http://www.ifs.tuwien.ac.at/%7Emayer/publications/pdf/may_ipres12-musicClass-poster.pdf},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/ipres/MiksaRV14.bib},
  isbn = {978-0-642-27881-4},
  pdf = {ontology for collection-ipres2014.pdf},
  researchfields = {DP},
  timestamp = {Mon, 19 Aug 2019 13:53:27 +0200},
  url = {http://hdl.handle.net/11353/10.378113}
}

@inproceedings{Mayer2014,
  author = {Rudolf Mayer and Tomasz Miksa and Andreas Rauber},
  booktitle = {2014 IEEE 10th International Conference on e-Science},
  title = {Ontologies for describing the context of scientific experiment processes},
  year = {2014},
  month = oct,
  pages = {153--160},
  publisher = {IEEE},
  volume = {1},
  abstract = {The re-usability and repeatability of e-Science experiments is widely understood as a requirement of validating and reusing previous work in data-intensive domains. Experiments are, however, often complex chains of processing, involving a number of data sources, computing infrastructure, software tools, or external and third-party services, rendering repeatability a challenging task. Another important aspect of many experiments is in the social and organisational dimension - very often, knowledge on how experiments are performed is tacit and remains with the researcher, and the collaborative and distributed aspects especially of larger collaborative experiments adds to this challenge. Therefore, a number of approaches have tackled this issue from various angles -- initiatives for data sharing, code versioning and publishing as open source, the use of workflow engines to formalise the steps taken in an experiment, to ways to describe the complex environment an experiment is executed in, e.g. via Research Objects. In this paper, we present a model that has a specific focus on the technical infrastructure that is the basis of the research experiment. We demonstrate how this model can be applied to describe e-Science experiments, and align and compare it to Research Objects.},
  doi = {10.1109/eScience.2014.47},
  journal = {Proceedings - 2014 IEEE 10th International Conference on eScience, eScience 2014},
  keywords = {data handling;ontologies (artificial intelligence);organisational aspects;scientific experiment process context;ontologies;e-Science experiments;data intensive domains;data sources;computing infrastructure;software tools;organisational dimension;social dimension;data sharing;code versioning;open source;publishing;Ontologies;Software;Context;Context modeling;Hardware;Licenses},
  pdf = {http://www.ifs.tuwien.ac.at/~mayer/publications/pdf/may_escience14.pdf}
}

@inproceedings{Miksa2014a,
  author = {Tomasz Miksa and Mayer, Rudolf and Unterberger, Marco and Rauber, Andreas},
  booktitle = {Proceedings of the 16th International Conference on Information Integration and Web-Based Applications \& Services},
  title = {Resilient Web Services for Timeless Business Processes},
  year = {2014},
  address = {New York, NY, USA},
  pages = {243--252},
  publisher = {Association for Computing Machinery},
  series = {iiWAS �14},
  doi = {10.1145/2684200.2684281},
  isbn = {9781450330015},
  keywords = {Resilient Web Services, SOA, WSMF, Business Continuity, Monitoring},
  location = {Hanoi, Viet Nam},
  numpages = {10},
  url = {https://doi.org/10.1145/2684200.2684281}
}

@article{Oblasser2020,
  author = {Simon Oblasser and Tomasz Miksa and Asanobu Kitamoto},
  journal = {International Journal of Digital Curation},
  title = {{Finding a Repository with the Help of Machine-Actionable DMPs: Opportunities and Challenges}},
  year = {2020},
  month = mar,
  number = {1},
  volume = {15},
  doi = {https://doi.org/10.2218/ijdc.v15i1.704}
}

@inproceedings{Miksa2020,
  author = {Tomasz Miksa and Maroua Jaoua and Ghaith Arfaoui},
  booktitle = {DaMaLOS - First Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020},
  title = {{Research Object Crates and Machine-actionable Data Management Plans}},
  year = {2020},
  month = nov,
  publisher = {PUBLISSO},
  doi = {https://dx.doi.org/10.4126/FRL01-006423291},
  language = {en}
}

@inproceedings{Cardoso2020,
  author = {Jo{\~{a}}o Cardoso and Leyla Jael Garcia Castro and Fajar Ekaputra and Marie-Christine Jacquemot-Perbal and Tomasz Miksa and Jos{\'{e} Borbinha}},
  booktitle = {DaMaLOS - First Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020},
  title = {{Towards semantic representation of machine-actionable Data Management Plans}},
  year = {2020},
  publisher = {PUBLISSO},
  doi = {10.4126/FRL01-006423289},
  language = {en}
}

@article{Schramm2021,
  author = {Matthias Schramm and Edzer Pebesma and Milutin Milenkovi{\'{c}} and Luca Foresta and Jeroen Dries and Alexander Jacob and Wolfgang Wagner and Matthias Mohr and Markus Neteler and Miha Kadunc and Tomasz Miksa and Pieter Kempeneers and Jan Verbesselt and Bernhard G{\"{o}}{\ss}wein and Claudio Navacchi and Stefaan Lippens and Johannes Reiche},
  journal = {Remote Sensing},
  title = {{The openEO API - Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities}},
  year = {2021},
  issn = {2072-4292},
  month = mar,
  number = {6},
  pages = {1125},
  volume = {13},
  abstract = {At present, accessing and processing Earth Observation (EO) data on different cloud platforms requires users to exercise distinct communication strategies as each backend platform is designed differently. The openEO API (Application Programming Interface) standardises EO-related contracts between local clients (R, Python, and JavaScript) and cloud service providers regarding data access and processing, simplifying their direct comparability. Independent of the providers� data storage system, the API mimics the functionalities of a virtual EO raster data cube. This article introduces the communication strategy and aspects of the data cube model applied by the openEO API. Two test cases show the potential and current limitations of processing similar workflows on different cloud platforms and a comparison of the result of a locally running workflow and its openEO-dependent cloud equivalent. The outcomes demonstrate the flexibility of the openEO API in enabling complex scientific analysis of EO data collections on cloud platforms in a homogenised way.},
  article-number = {1125},
  doi = {10.3390/rs13061125},
  publisher = {{MDPI} {AG}},
  url = {https://www.mdpi.com/2072-4292/13/6/1125}
}

@article{Miksa2021,
  author = {Tomasz Miksa and Tanja Sarcevic and Rudolf Mayer and Laura Waltersdorfer},
  journal = {{ERCIM} News},
  title = {{WellFort: A Platform for Privacy-Preserving Data Analysis}},
  year = {2021},
  number = {126},
  volume = {2021},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/journals/ercim/MiksaSMW21.bib},
  timestamp = {Tue, 13 Jul 2021 15:43:36 +0200},
  url = {https://ercim-news.ercim.eu/en126/special/wellfort-a-platform-for-privacy-preserving-data-analysis}
}

@inproceedings{Aryan2021,
  author = {Peb Ruswono Aryan and Fajar J. Ekaputra and Marta Sabou and Daniel Hauer and Ralf Mosshammer and Alfred Einfalt and Tomasz Miksa and Andreas Rauber},
  booktitle = {2021 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems},
  title = {{Explainable Cyber-Physical Energy Systems based on Knowledge Graph}},
  year = {2021}
}

@article{Miksa2021a,
  author = {Tomasz Miksa and Paul Walk and Peter Neish and Simon Oblasser and Hollydawn Murray and Tom Renner and Marie-Christine Jacquemot-Perbal and Jo{\~{a}}o Cardoso and Trond Kvamme and Maria Praetzellis and Marek Such{\'{a}}nek and Rob Hooft and Benjamin Faure and Hanne Moa and Adil Hasan and Sarah Jones},
  journal = {CODATA Data Science Journal},
  title = {Application Profile for Machine-Actionable Data Management Plans},
  year = {2021},
  month = oct,
  number = {1},
  pages = {32},
  volume = {20},
  doi = {10.5334/dsj-2021-032},
  publisher = {Ubiquity Press, Ltd.}
}

@article{Rauber2021a,
  author = {Andreas Rauber and Bernhard G{\"o}{\ss}wein and Carlo Maria Zw{\"o}lf and C. Schubert and Florian W{\"o}rister and James Duncan and Katharina Flicker and Koji Zettsu and Kristof Meixner and Leslie D. McIntosh and Reyna Jenkyns and Stefan Pr{\"o}ll and Tomasz Miksa and Mark A. Parsons},
  journal = {Harvard Data Science Review},
  title = {Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data},
  year = {2021},
  doi = {https://doi.org/10.1162/99608f92.be565013}
}

@inproceedings{Foidl2021,
  author = {Raffael Foidl and Lea Salome Brugger and Tomasz Miksa},
  booktitle = {DaMaLOS - 2nd Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2021},
  title = {{Automating Evaluation of Machine-Actionable Data Management Plans with Semantic Web Technologies}},
  year = {2021},
  month = nov,
  publisher = {PUBLISSO},
  doi = {https://dx.doi.org/10.4126/FRL01-006429413},
  language = {en}
}

@inproceedings{Breit2022,
  author = {Breit, Anna and Waltersdorfer, Laura and Ekaputra, Fajar J. and Tomasz Miksa and Marta Sabou},
  booktitle = {Database and Expert Systems Applications - DEXA 2022 Workshops},
  title = {A Lifecycle Framework for Semantic Web Machine Learning Systems},
  year = {2022},
  address = {Cham},
  pages = {359--368},
  publisher = {Springer International Publishing},
  abstract = {Semantic Web Machine Learning Systems (SWeMLS) characterise applications, which combine symbolic and subsymbolic components in innovative ways. Such hybrid systems are expected to benefit from both domains and reach new performance levels for complex tasks. While existing taxonomies in this field focus on building blocks and patterns for describing the interaction within the final systems, typical lifecycles describing the steps of the entire development process have not yet been introduced. Thus, we present our SWeMLS lifecycle framework, providing a unified view on Semantic Web, Machine Learning, and their interaction in a SWeMLS. We further apply the framework in a case study based on three systems, described in literature. This work should facilitate the understanding, planning, and communication of SWeMLS designs and process views.},
  isbn = {978-3-031-14343-4}
}