Ten principles for machine-actionable data management plans T Miksa, S Simms, D Mietchen, S Jones PLOS Computational Biology 15 (3), e1006750, 2019 | 47 | 2019 |
Data management planning: How requirements and solutions are beginning to converge S Jones, R Pergl, R Hooft, T Miksa, R Samors, J Ungvari, RI Davis, T Lee Data Intelligence 2 (1-2), 208-219, 2020 | 28 | 2020 |
Ontologies for describing the context of scientific experiment processes R Mayer, T Miksa, A Rauber 2014 IEEE 10th International Conference on e-Science 1, 153-160, 2014 | 26 | 2014 |
Machine-actionable data management plans (maDMPs) S Simms, S Jones, D Mietchen, T Miksa Research Ideas and Outcomes 3, e13086, 2017 | 25 | 2017 |
Using ontologies for verification and validation of workflow-based experiments T Miksa, A Rauber Journal of Web Semantics 43, 25-45, 2017 | 19 | 2017 |
Ensuring sustainability of web services dependent processes T Miksa, R Mayer, A Rauber International Journal of Computational Science and Engineering, 2013 | 19 | 2013 |
The openeo api–harmonising the use of earth observation cloud services using virtual data cube functionalities M Schramm, E Pebesma, M Milenković, L Foresta, J Dries, A Jacob, ... Remote Sensing 13 (6), 1125, 2021 | 18 | 2021 |
Framework for Verification of Preserved and Redeployed Processes T Miksa, S Pröll, R Mayer, S Strodl, R Vieira, J Barateiro, A Rauber 10th International Conference on Digital Preservation (iPres 2013), 2013 | 17 | 2013 |
Information Integration for Machine Actionable Data Management Plans T Miksa, A Rauber, R Ganguly, P Budroni International Journal of Digital Curation 12 (1), 22-35, 2017 | 13* | 2017 |
VPlan-Ontology for Collection of Process Verification Data T Miksa, R Vieira, J Barateiro, A Rauber | 11 | 2014 |
Data identification and process monitoring for reproducible earth observation research B Gößwein, T Miksa, A Rauber, W Wagner 2019 15th international conference on eScience (eScience), 28-38, 2019 | 10 | 2019 |
Framing the scope of the common data model for machine-actionable data management plans T Miksa, J Cardoso, J Borbinha 2018 IEEE International Conference on Big Data (Big Data), 2733-2742, 2018 | 10 | 2018 |
Process Management Plans T Miksa, S Strodl, A Rauber International Journal of Digital Curation 9 (1), 83-97, 2014 | 10 | 2014 |
RDA DMP Common standard for machine-actionable data management plans T Miksa, P Walk, P Neish Retrieved August 12, 2020, 2019 | 9 | 2019 |
Identifying impact of software dependencies on replicability of biomedical workflows T Miksa, A Rauber, E Mina Journal of Biomedical Informatics 64, 232-254, 2016 | 7 | 2016 |
Research data preservation using process engines and machine-actionable data management plans A Bakos, T Miksa, A Rauber International Conference on Theory and Practice of Digital Libraries, 69-80, 2018 | 6 | 2018 |
Defining requirements for machine-actionable data management plans. T Miksa, P Neish, P Walk, A Rauber iPRES, 2018 | 6 | 2018 |
Risk Driven Selection of Preservation Activities for Increasing Sustainability of Open Source Systems and Workflows T Miksa, R Mayer, S Strodl, A Rauber, R Vieira, G Antunes Proceedings of the 11th International Conference on Digital Preservation, 2014 | 6 | 2014 |
openEO-A standardised connection to and between Earth observation service providers M Schramm, E Pebesma, W Wagner, J Verbesselt, J Dries, C Briese, ... Proceedings of 2019 Big Data from Space (BiDS'19), 229-232, 2019 | 5 | 2019 |
Repeatability and Re-usability in Scientific Processes: Process Context, Data Identification and Verification. A Rauber, T Miksa, R Mayer, S Proell DAMDID/RCDL, 246-256, 2015 | 5 | 2015 |