A Framework for Provenance Analysis and Visualization

The Open Provenance Model core specification (v1.1)

Moreau, L., Clifford, B., Freire, J., Futrelle, J., Gil, Y., Groth, P., Kwaśnikowska, N., Miles, S., Paolo Missier, B., Myers, J., et al. (2010) · Future Generation Computer Systems · doi:10.1016/j.future.2010.07.005 · Cited by 706 · see citing works

Examining the Challenges of Scientific Workflows

Gil, Y., Deelman, E., Ellisman, M., Fahringer, T., Fox, G., Gannon, D., Goble, C., Livny, M., Moreau, L., & Myers, J. (2007) · Computer · doi:10.1109/mc.2007.421 · Cited by 518 · see citing works

Software Visualization : Visualizing the Structure, Behaviour, and Evolution of Software

Diehl, S. (2007) · doi:10.1007/978-3-540-46505-8 · Cited by 329 · see citing works

PROV-DM: The PROV Data Model

Belhajjame, K., B'Far, R., Cheney, J., Coppens, S., Cresswell, S., Gil, Y., Groth, P., Klyne, G., Lebo, T., McCusker, J. P., et al. (2013) · ePrints Soton (University of Southampton) · Cited by 252 · see citing works

Data Provenance: Some Basic Issues

Buneman, P., Khanna, S., & Tan, W.-C. (2000) · Lecture notes in computer science · doi:10.1007/3-540-44450-5_6 · Cited by 244 · see citing works

PROV-Overview. An Overview of the PROV Family of Documents

Groth, P. T., & Moreau, L. (2013) · Cited by 113 · see citing works

Prospective and Retrospective Provenance Collection in Scientific Workflow Environments

Lim, C., Lu, S., Artem Chebotko, B., & Fotouhi, F. A. (2010) · IEEE International Conference on Services Computing · doi:10.1109/scc.2010.18 · Cited by 72 · see citing works

Evaluation of Filesystem Provenance Visualization Tools

Borkin, M. A., Yeh, C. S., Boyd, M., Macko, P., Gajos, K. Z., Seltzer, M., & Pfister, H. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.155 · Cited by 63 · see citing works

Collaborative e-Science Experiments and Scientific Workflows

Belloum, A. S. Z., de Inda, M. A., Vasunin, D., Korkhov, V. V., Zhao, Z., Rauwerda, H., Breit, T. M., Bubak, M., & Hertzberger, L. O. (2011) · IEEE Internet Computing · doi:10.1109/mic.2011.87 · Cited by 51 · see citing works

AVOCADO: Visualization of Workflow–Derived Data Provenance for Reproducible Biomedical Research

Stitz, H., Luger, S., Streit, M., & Gehlenborg, N. (2016) · Computer Graphics Forum · doi:10.1111/cgf.12924 · Cited by 51 · see citing works

PROV-O: The PROV ontology:W3C recommendation 30 April 2013

Belhajjame, K., Cheney, J., Corsar, D., Garijo, D., Soiland‐Reyes, S., Zednik, S., & Zhao, J. (2013) · Lancaster EPrints (Lancaster University) · Cited by 48 · see citing works

PROV-O-Viz - Understanding the Role of Activities in Provenance

Hoekstra, R., & Groth, P. T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16462-5_18 · Cited by 40 · see citing works

A complex networks approach for data clustering

de Arruda, G. F., Costa, L. D. F., & Rodrigues, F. A. (2012) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2012.07.007 · Cited by 38 · see citing works

Prov Viewer: A Graph-Based Visualization Tool for Interactive Exploration of Provenance Data

Kohwalter, T. C., Oliveira, T., Freire, J., Clua, E., & Murta, L. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-40593-3_6 · Cited by 35 · see citing works

Interpretation of Crowdsourced Activities Using Provenance Network Analysis

Huynh, T. D., Ebden, M., Venanzi, M., Ramchurn, S. D., Roberts, S., & Moreau, L. (2013) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · doi:10.1609/hcomp.v1i1.13067 · Cited by 20 · see citing works

Network Analysis on Provenance Graphs from a Crowdsourcing Application

Ebden, M., Huynh, T. D., Moreau, L., Ramchurn, S. D., & Roberts, S. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-34222-6_13 · Cited by 20 · see citing works

Employing a Parametric Model for Analytic Provenance

Chen, Y., Qian, Z. C., Woodbury, R. F., Dill, J. C., & Shaw, C. (2014) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/2591510 · Cited by 9 · see citing works

E-SECO ProVersion: An Approach for Scientific Workflows Maintenance and Evolution

Sirqueira, T. F. M., Dalpra, H. L. O., Braga, R. M. M., Araújo, M. A. P., David, J., & Campos, F. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.09.194 · Cited by 9 · see citing works

Position Paper: Provenance Data Visualisation for Neuroimaging AnalysisPreprint

Arshad, B., Munir, K., McClatchey, R., et al. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1502.01556 · Cited by 1 · see citing works

The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations

Chatzimparmpas, A., Martins, R. M., Jusufi, I., Kucher, K., Fabrice Rossi, A., & Kerren, A. (2020) · Computer Graphics Forum · doi:10.1111/cgf.14034 · Cited by 184 · see citing works

StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics

Chatzimparmpas, A., Martins, R. M., Kucher, K., & Kerren, A. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030352 · Cited by 154 · see citing works

Decision Provenance: Harnessing Data Flow for Accountable Systems

Singh, J., Cobbe, J., & Norval, C. (2019) · IEEE Access · doi:10.1109/access.2018.2887201 · Cited by 110 · see citing works

Modeling and simulation of complex manufacturing phenomena using sensor signals from the perspective of Industry 4.0

Ullah, A. S. (2018) · Advanced Engineering Informatics · doi:10.1016/j.aei.2018.11.003 · Cited by 92 · see citing works

Hidden Markov model-based digital twin construction for futuristic manufacturing systems

Ghosh, A. K., Ullah, A., & Kubo, A. (2019) · Artificial intelligence for engineering design, analysis and manufacturing · doi:10.1017/s089006041900012x · Cited by 72 · see citing works

A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization Framework

Shakeel, H. M., Iram, S., Al-Aqrabi, H., Alsboui, T., & Hill, R. C. (2022) · IEEE Access · doi:10.1109/access.2022.3205115 · Cited by 48 · see citing works

Data provenance in healthcare: approaches, challenges, and future directions

Ahmed, M., Dar, A. R., Helfert, M., Khan, A., & Kim, J. (2023) · Sensors · doi:10.3390/s23146495 · Cited by 31 · see citing works

BLINKER: A Blockchain-Enabled Framework for Software Provenance

Bose, R. P. J. C., Phokela, K. K., Kaulgud, V., & Podder, S. (2019) · Asia-Pacific Software Engineering Conference (APSEC) · doi:10.1109/apsec48747.2019.00010 · Cited by 23 · see citing works

Towards an accountable Internet of Things: a call for reviewability

Norval, C., Cobbe, J., & Singh, J. P. (2021) · Institution of Engineering and Technology eBooks · doi:10.1049/pbse014e_ch5 · Cited by 15 · see citing works

BioWorkbench: a high-performance framework for managing and analyzing bioinformatics experiments

Mondelli, M. L., Magalhães, T. T., Loss, G., Wilde, M., Foster, I. T., Mattoso, M., Katz, D. S., Barbosa, H. J. C., de Vasconcelos, A. T. R., Ocaña, K., et al. (2018) · PeerJ · doi:10.7717/peerj.5551 · Cited by 15 · see citing works

Analyzing scientific context of researchers and communities by using complex network and semantic technologies

Horta, V., Ströele, V., Braga, R. M. M., David, J., & Campos, F. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.07.012 · Cited by 15 · see citing works

Visionary: a framework for analysis and visualization of provenance data

de Oliveira, W., Braga, R. M. M., David, J., Ströele, V., Campos, F., & Dalpra, G. C. B. C. (2022) · Knowledge and Information Systems · doi:10.1007/s10115-021-01645-6 · Cited by 13 · see citing works

A novel visualization approach for data provenance

Yazici, I. M., & Aktaş, M. S. (2021) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.6523 · Cited by 9 · see citing works

Implementations of fine-grained automated data provenance to support transparent environmental modelling

Spiekermann, R., Jolly, B. H., Herzig, A., Burleigh, T., & Medyckyj-Scott, D. (2019) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2019.04.009 · Cited by 8 · see citing works

Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe With ProvenanceLens

Narechania, A. A., Guo, S., Koh, E., Endert, A., & Hoffswell, J. (2025) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2025.3571708 · Cited by 6 · see citing works

A Vision for Managing Extreme-Scale Data Hoards

Logan, J. S., Mehta, K. R., Heber, G., Klasky, S., Kurç, T., Podhorszki, N., Widener, P. M., & Wolf, M. (2019) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2019.00179 · Cited by 6 · see citing works

ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty

Musleh, M., Ceneda, D., Ehlers, H., & Raidou, R. G. (2024) · Computer Graphics Forum · doi:10.1111/cgf.15272 · Cited by 2 · see citing works

A Graph Testing Framework for Provenance Network Analytics

Roper, B., Chapman, A. P., MARTIN, D. J., & Morley, J. G. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-98379-0_29 · Cited by 1 · see citing works

Design, Application and Evaluation of PROV-SwProcess: A PROV extension Data Model for Software Development Processes

Dalpra, G. C. B. C., Werner, C., Braga, R. M. M., Teixeira, E. N., Ströele, V., Araújo, M. A. P., & Miguel, M. A. (2021) · Journal of Web Semantics · doi:10.1016/j.websem.2021.100676 · Cited by 1 · see citing works

Supporting software processes analysis and decision-making using provenance data

Dalpra, G. C. B. C. (2018) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 1 · see citing works

Peer Review #1 of "BioWorkbench: a high-performance framework for managing and analyzing bioinformatics experiments (v0.1)"

(2018) · PeerJ · doi:10.7287/peerj.5551v0.1/reviews/1

Peer Review #1 of "BioWorkbench: a high-performance framework for managing and analyzing bioinformatics experiments (v0.2)"

(2018) · PeerJ · doi:10.7287/peerj.5551v0.2/reviews/1

Data Provenance for Complex Event Processing Invoking Composition of Services

Khalfallah, M., & Ghodous, P. (2020) · IEEE International Conference on Services Computing · doi:10.1109/scc49832.2020.00027

Peer Review #2 of "BioWorkbench: a high-performance framework for managing and analyzing bioinformatics experiments (v0.1)"

(2018) · PeerJ · doi:10.7287/peerj.5551v0.1/reviews/2

Visual Analytics for Explainable and Trustworthy Machine Learning

Chatzimparmpas, A. (2023) · doi:10.15626/lud.482.2023

Visionary: a framework for analysis and visualization of provenance data

de Oliveira, W., Braga, R. M. M., David, J., Ströele, V., Campos, F., & Dalpra, G. C. B. C. (2022) · Knowledge and Information Systems · doi:10.1007/s10115-021-01645-6 · Cited by 13 · see citing works

Visualization of network data provenance

Chen, P., Plale, B., Cheah, Y.-W., Ghoshal, D., Jensen, S., & Luo, Y. (2012) · 2012 19th International Conference on High Performance Computing · doi:10.1109/hipc.2012.6507517 · Cited by 42 · see citing works

A knowledge discovery service system for provenance exploration.

Liu, Q., Zhang, J., James, F., Xu, K., & Dinesh, N. (2011) · Middlesex University Research Repository (Middlesex University Of London)

SEE PROFILE

Chen, P., plale, B., Ghoshal, D., & Luo, Y. (2016)

Using provenance to streamline data exploration through visualization

Callahan, S. P., Freire, J., Santos, E., Scheidegger, C. E., Silva, C. T., & Vo, H. T. (2006)