Framework for Verification of Preserved and Redeployed Processes. - Tomasz Miksa; Stefan Pröll; Rudolf Mayer; Stephan Strodl; Ricardo Vieira; José Barateiro; Andreas Rauber (iPRES, 2013)

On the Assessment of Preservability: Method and Application. - Diogo Proença; Gonçalo Antunes; Tomasz Miksa (iPRES, 2013)

Ontologies for Describing the Context of Scientific Experiment Processes. - Rudolf Mayer; Tomasz Miksa; Andreas Rauber (eScience, 2014)

Resilient Web Services for Timeless Business Processes. - Tomasz Miksa; Rudolf Mayer; Marco Unterberger; Andreas Rauber (iiWAS, 2014)

Risk Driven Selection of Preservation Activities for Increasing Sustainability of Open Source Systems and Workflows. - Tomasz Miksa; Gonçalo Antunes; Ricardo Vieira; Andreas Rauber; Stephan Strodl; Rudolf Mayer (iPRES, 2014)

VPlan - Ontology for Collection of Process Verification Data. - Tomasz Miksa; Andreas Rauber; Ricardo Vieira (iPRES, 2014)

Process Management Plans. - Tomasz Miksa; Stephan Strodl; Andreas Rauber (Int. J. Digit. Curation, 2014)

Sustainable eScience processes and systems. - Tomasz Miksa (Bull. IEEE Tech. Comm. Digit. Libr., 2014)

Repeatability and Re-usability in Scientific Processes: Process Context, Data Identification and Verification. - Andreas Rauber; Tomasz Miksa; Rudolf Mayer; Stefan Pröll (DAMDID/RCDL, 2015)

Beyond Data: Process Sharing and Reuse. - Tomasz Miksa; Andreas Rauber (ERCIM News, 2015)

Ensuring sustainability of web services dependent processes. - Tomasz Miksa; Rudolf Mayer; Andreas Rauber (Int. J. Comput. Sci. Eng., 2015)

Raising resilience of web service dependent repository systems. - Tomasz Miksa; Rudolf Mayer; Andreas Rauber (Int. J. Web Inf. Syst., 2015)

Identifying impact of software dependencies on replicability of biomedical workflows. - Tomasz Miksa; Andreas Rauber; Eleni Mina (J. Biomed. Informatics, 2016)

Information Integration for Machine Actionable Data Management Plans. - Tomasz Miksa; Andreas Rauber; Roman Ganguly; Paolo Budroni (Int. J. Digit. Curation, 2017)

Using ontologies for verification and validation of workflow-based experiments. - Tomasz Miksa; Andreas Rauber (J. Web Semant., 2017)

Debunking Active Data Management Plans. - João Cardoso 002; Tomasz Miksa; José Borbinha (IEEE BigData, 2018)

Framing the scope of the common data model for machine-actionable Data Management Plans. - Tomasz Miksa; João Cardoso 002; José Borbinha (IEEE BigData, 2018)

Research Data Preservation Using Process Engines and Machine-Actionable Data Management Plans. - Asztrik Bakos; Tomasz Miksa; Andreas Rauber (TPDL, 2018)

Defining requirements for machine-actionable data management plans. - Tomasz Miksa; Peter Neish; Paul Walk; Andreas Rauber (iPRES, 2018)

A Landscape Survey of ActiveDMPs. - Stephanie Renee Simms; Sarah Jones; Tomasz Miksa; Daniel Mietchen; Natasha Simons; Kathryn Unsworth (Int. J. Digit. Curation, 2018)

Data Identification and Process Monitoring for Reproducible Earth Observation Research. - Bernhard Gößwein; Tomasz Miksa; Andreas Rauber; Wolfgang Wagner 001 (eScience, 2019)

Setting Up Open Access Repositories. - Yousef AbuZir; Nael Salman; Iyad AlAgha; Rawia Awadallah; David Anderson; Janet Anderson; Stefano Caselli; Anna Maria Tammaro; Adnan Yahya; Joy Davidson; Andreas Rauber; Tomasz Miksa (iPRES, 2019)

Ten principles for machine-actionable data management plans. - Tomasz Miksa; Stephanie Renee Simms; Daniel Mietchen; Sarah Jones (PLoS Comput. Biol., 2019)

Towards semantic representation of machine-actionable Data Management Plans. - João Cardoso 002; Leyla J. García; Fajar J. Ekaputra; Marie C. Jacquemot; Tomasz Miksa; José Borbinha (DaMaLOS, 2020)

Research Object Crates and Machine-actionable Data Management Plans. - Tomasz Miksa; Maroua Jaoua; Ghaith Arfaoui (DaMaLOS, 2020)

Data Management Planning: How Requirements and Solutions are Beginning to Converge. - Sarah Jones; Robert Pergl; Rob W. W. Hooft; Tomasz Miksa; Robert Samors; Judit Ungvari; Rowena I. Davis; Tina Lee (Data Intell., 2020)

Finding a Repository with the Help of Machine-Actionable DMPs: Opportunities and Challenges. - Simon Oblasser; Tomasz Miksa; Asanobu Kitamoto (Int. J. Digit. Curation, 2020)

Explainable cyber-physical energy systems based on knowledge graph. - Peb Ruswono Aryan; Fajar Juang Ekaputra; Marta Sabou; Daniel Hauer; Ralf Mosshammer; Alfred Einfalt; Tomasz Miksa; Andreas Rauber (MSCPES@CPSIoTWeek, 2021)

Automating Evaluation of Machine-Actionable Data Management Plans with Semantic Web Technologies. - Raffael Foidl; Lea Salome Brugger; Tomasz Miksa (DaMaLOS, 2021)

WellFort: A Platform for Privacy-Preserving Data Analysis. - Tomasz Miksa; Tanja Sarcevic; Rudolf Mayer; Laura Waltersdorfer (ERCIM News, 2021)

The openEO API-Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities. - Matthias Schramm; Edzer J. Pebesma; Milutin Milenkovic; Luca Foresta; Jeroen Dries; Alexander W. Jacob; Wolfgang Wagner 001; Matthias Mohr; Markus Neteler; Miha Kadunc; Tomasz Miksa; Pieter Kempeneers; et al. (Remote. Sens., 2021)

A Lifecycle Framework for Semantic Web Machine Learning Systems. - Anna Breit; Laura Waltersdorfer; Fajar J. Ekaputra; Tomasz Miksa; Marta Sabou (DEXA Workshops, 2022)

DCSO: towards an ontology for machine-actionable data management plans. - João Cardoso 002; Leyla Jael Castro; Fajar J. Ekaputra; Marie C. Jacquemot; Marek Suchánek; Tomasz Miksa; José Borbinha (J. Biomed. Semant., 2022)

Automating Research Data Management Using Machine-Actionable Data Management Plans. - Tomasz Miksa; Simon Oblasser; Andreas Rauber (ACM Trans. Manag. Inf. Syst., 2022)

Connecting data repositories and DMP tools using maDMPs. - Max Moser; Sotirios Tsepelakis; Tomasz Miksa; David Eckhard (DaMaLOS, 2023)

Reproducible Query Processing and Data Citation of in Situ Soil Moisture Data. - Moritz Staudinger; Tobias Hajszan; Tomasz Miksa; Irene Himmelbauer; Daniel Aberer; Andreas Rauber; Wouter Dorigo (e-Science, 2023)

Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction. - Anna Breit; Laura Waltersdorfer; Fajar J. Ekaputra; Sotirios Karampatakis; Tomasz Miksa; Gregor Käfer (ESWC, 2023)

Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans. - Tomasz Miksa; Marek Suchánek; Jan Slifka; Vojtech Knaisl; Fajar J. Ekaputra; Filip Kovacevic; Annisa Maulida Ningtyas; Alaa El-Ebshihy; Robert Pergl (Data Sci. J., 2023)

Mission Reproducibility: An Investigation on Reproducibility Issues in Machine Learning and Information Retrieval Research. - Moritz Staudinger; Bettina M. J. Kern; Tomasz Miksa; Lukas Arnhold; Peter Knees; Andreas Rauber; Allan Hanbury (e-Science, 2024)

Turning Machine-Actionable DMPs Into FAIR Digital Objects. - Tomasz Miksa (FDO, 2024)

FAIR Digital Objects for Seamless Research Data Management for Researchers and Higher Education Institutions. - Markus Stocker; Björn A. Grüning; Tomasz Miksa; Claudia Biniossek; Dirk Betz (FDO, 2024)

AuditMAI: Towards An Infrastructure for Continuous AI Auditing. - Laura Waltersdorfer; Fajar J. Ekaputra; Tomasz Miksa; Marta Sabou (CoRR, 2024)

Semantic-enabled architecture for auditable privacy-preserving data analysis. - Fajar J. Ekaputra; Andreas Ekelhart; Rudolf Mayer; Tomasz Miksa; Tanja Sarcevic; Sotirios Tsepelakis; Laura Waltersdorfer (Semantic Web, 2024)

Data Management Planning across Disciplines and Infrastructures. Introduction to the Special Collection. - Sebastian Netscher; Daniela Adele Hausen; Chris Wiley; Ivonne Anders; Kevin Ashley 001; Christin Henzen; Sarah Jones; Tomasz Miksa; Maria Praetzellis (Data Sci. J., 2024)