Research

My research concerns provenance, data science, and visualization. As data continues to proliferate, I am interested in methods that improve our ability to understand and use it. Algorithms help to summarize, filter, and mine data, and visualization techniques provide intuitive and interactive methods for examining data. Both are important ingredients, but keeping track of all these computations and explorations places a burden on users. Automated capture of provenance—the record of how results are achieved—provides users greater freedom to investigate data without manually recording every detail of each step. This improves the reproducibility of past results and enables others to better reuse existing work.

Current projects include:

• Dataflow Notebooks: Restructure notebooks so cell references are robust and results are more reproducible
• FOUNT: Scaffolded, Hands-On Learning for a Data-Centric Future
• Interactive Web Provenance: Capture and understand provenance during iterative exploration in modern web environments

I am currently looking for motivated and hard-working graduate (PhD/MS) and undergraduate students to work on projects related to reproducibility, data visualization, and trajectory analysis. If you are interested, please email me your CV, transcripts, GRE scores (if applicable), and any supporting items (e.g. links to your projects if accessible online).

• Spring 2024: [CSCI 503/490] Programming in Python
• Spring 2024: [CSCI 640/490] Advanced Data Management
• Fall 2023: [CSCI 340] Data Structures & Algorithm Analysis
• Fall 2023: [CSCI 627/490] Data Visualization
• Spring 2023: [CSCI 503/490] Programming in Python
• Spring 2023: [CSCI 640/490] Advanced Data Management
• Fall 2022: [CSCI 503/490] Programming in Python
• Fall 2022: [CSCI 627/490] Data Visualization
• Spring 2022: [CSCI 503/490] Programming in Python
• Spring 2022: [CSCI 680/490] Advanced Data Management
• Fall 2021: [CSCI 503/490] Programming in Python
• Fall 2021: [CSCI 628] Information Visualization
• Spring 2021: [CSCI 503] Programming in Python
• Spring 2021: [CSCI 680/490] Advanced Data Management
• Fall 2020: [CSCI 627/490] Data Visualization
• Spring 2020: [CSCI 680/490] Advanced Data Management
• Fall 2019: [CSCI 680/490] Data Visualization
• Spring 2019: [DSC 530/CIS 568] Data Visualization (UMassD)
• Spring 2019: [CIS 381] Social & Ethical Aspects of Computing (UMassD)
• Fall 2018: [CIS 468] Data Visualization (UMassD)
• Fall 2018: [DSC 201] Data Analysis & Visualization (UMassD)
• Spring 2018: [DSC 530/CIS 602] Data Visualization (UMassD)
• Fall 2017: [CIS 602] Scalable Data Analysis (UMassD)
• Fall 2017: [DSC 201] Data Analysis & Visualization (UMassD)
• Spring 2017: [DSC 530/CIS 602] Data Visualization (UMassD)
• Spring 2017: [CIS 468] Data Visualization (UMassD)
• Fall 2016: [CIS 602] Computational Reproducibility (UMassD)
• Fall 2016: [DSC 201] Data Analysis & Visualization (UMassD)
• Spring 2016: [DSC 530/CIS 602] Data Visualization (UMassD)
• Fall 2015: [CIS 602] Scalable Data Analysis (UMassD)
• Spring 2015: [CIS 468/CIS 602] Data Visualization (UMassD)
• Fall 2014: [CIS 602] Provenance & Scientific Data Management (UMassD)
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• Laying Foundations to Quantify the "Effort of Reproducibility".
  A. P. Akella, D. Koop, and H. Alhoori.
  In 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 56–60, 2023.
• Facilitating Dependency Exploration in Computational Notebooks.
  C. Brown, H. Alhoori, and D. Koop.
  In Proceedings of the Workshop on Human-In-the-Loop Data Analytics, pp. 1–7, 2023.
• Towards Systematic Design Considerations for Visualizing Cross-View Data Relationships.
  M. Sun, A. Namburi, D. Koop, J. Zhao, T. Li, and H. Chung.
  IEEE Trans. Visual. Comput. Graphics, 28(12):4741–4756, 2022.
• Reproducibility signals in science: A preliminary analysis.
  A. P. Akella, H. Alhoori, and D. Koop.
  In Proceedings of the First Workshop on Information Extraction from Scientific Publications, pp. 140–144, 2022.
• Toward Systematic Design Considerations of Organizing Multiple Views.
  A. R. Shaikh, D. Koop, H. Alhoori, and M. Sun.
  In 2022 IEEE Visualization and Visual Analytics (VIS), pp. 105–109, 2022.
• Notebook archaeology: Inferring provenance from computational notebooks.
  D. Koop.
  In Provenance and Annotation of Data and Processes, pp. 109–126, 2021.
• Interactive bicluster aggregation in bipartite graphs.
  M. Sun, D. Koop, J. Zhao, C. North, and N. Ramakrishnan.
  In 2019 IEEE Visualization Conference (VIS), pp. 246–250, 2019.
• Enhancing web-based analytics applications through provenance.
  A. Camisetty, C. Chandurkar, M. Sun, and D. Koop.
  IEEE Trans. Vis. Comp. Graph. (Proc. of Visualization), 25(1):131–141, 2019.
• Dataflow notebooks: Encoding and tracking dependencies of cells.
  D. Koop and J. Patel.
  In Proc. of Theory and Practice of Provenance, 2017.
• Fluid treemap interactions.
  S. Borges and D. Koop.
  In IEEE VIS, 2016. Poster.
• Maritime trajectory visualization.
  R. Vaid and D. Koop.
  In IEEE VIS, 2016. Poster.
• Versioning version trees: The provenance of actions that affect multiple versions.
  D. Koop.
  In Provenance and Annotation of Data and Processes, pp. 109–121. 2016.
• Yin & yang: Demonstrating complementary provenance from noworkflow & yesworkflow.
  J. F. Pimentel, S. Dey, T. McPhillips, K. Belhajjame, D. Koop, L. Murta, V. Braganholo, and B. Ludäscher.
  In Provenance and Annotation of Data and Processes, pp. 161–165. 2016.
• Linking prospective and retrospective provenance in scripts.
  S. C. Dey, K. Belhajjame, D. Koop, M. Raul, and B. Ludäscher.
  In Proc. of Theory and Practice of Provenance (TaPP), 2015.
• YesWorkflow: A user-oriented, language-independent tool for recovering workflow information from scripts.
  T. M. McPhillips, T. Song, T. Kolisnik, S. Aulenbach, K. Belhajjame, K. Bocinsky, Y. Cao, F. Chirigati, S. C. Dey, J. Freire, D. N. Huntzinger, C. Jones, D. Koop, P. Missier, M. Schildhauer, C. R. Schwalm, Y. Wei, J. Cheney, M. Bieda, and B. Ludäscher.
  International Journal of Digital Curation, 10(1):298–313, 2015.
• noWorkflow: Capturing and analyzing provenance of scripts.
  L. Murta, V. Braganholo, F. Chirigati, D. Koop, and J. Freire.
  In Provenance and Annotation of Data and Processes, vol. 8628 of LNCS, pp. 71–83. 2015.
• Baseball4D: A tool for baseball game reconstruction and visualization.
  C. Dietrich, D. Koop, H. T. Vo, and C. T. Silva.
  In Proc. of IEEE VAST, pp. 23–32. 2014.
• Reorganizing workflow evolution provenance.
  D. Koop and J. Freire.
  In TaPP, 2014.
• Up & Down: Improving provenance precision by combining workflow- and trace-level information.
  S. Dey, K. Belhajjame, D. Koop, T. Song, P. Missier, and B. Ludäscher.
  In TaPP, 2014.
• The PBase scientific workflow provenance repository.
  V. Cuevas-Vicenttín, P. Kianmajd, B. Ludäscher, P. Missier, F. Chirigati, Y. Wei, D. Koop, and S. C. Dey.
  International Journal of Digital Curation, 9(2):28–38, 2014.
• VisTrails provenance traces for benchmarking.
  F. Chirigati, D. Koop, J. Freire, and C. T. Silva.
  In Proc. of EDBT/ICDT 2013 Workshops, pp. 323–324, 2013.
• Reproducibility using VisTrails.
  J. Freire, D. Koop, F. Chirigati, and C. T. Silva.
  In Implementing Reproducible Research, chapter 2. 2013.
• Enabling reproducible science with VisTrails.
  D. Koop, J. Freire, and C. T. Silva.
  CoRR, abs/1309.1784, 2013.
• Visual summaries for graph collections.
  D. Koop, J. Freire, and C. T. Silva.
  In Proc. of IEEE Pacific Visualization Symp., pp. 57–64, 2013.
• VisTrails SAHM: Visualization and workflow management for ecological niche modeling.
  J. T. Morisette, C. S. Jarnevich, T. R. Holcombe, C. B. Talbert, D. Ignizio, M. K. Talbert, C. Silva, D. Koop, A. Swanson, and N. E. Young.
  Ecography, 36(2):129–135, 2013.
• Ultrascale visualization of climate data.
  D.N. Williams, T. Bremer, C. Doutriaux, J. Patchett, S. Williams, G. Shipman, R. Miller, D.R. Pugmire, B. Smith, C. Steed, E.W. Bethel, H. Childs, H. Krishnan, P. Prabhat, M. Wehner, C.T. Silva, E. Santos, D. Koop, T. Ellqvist, J. Poco, B. Geveci, A. Chaudhary, A. Bauer, A. Pletzer, D. Kindig, G.L. Potter, and T.P Maxwell.
  Computer, 46(9):68–76, 2013.
• Designing a provenance-based climate data analysis application.
  E. Santos, D. Koop, T. Maxwell, C. Doutriaux, T. Ellqvist, G. Potter, J. Freire, D. N. Williams, and C. T. Silva.
  In Provenance and Annotation of Data and Processes, vol. 7525 of LNCS, pp. 214–219, 2012.
• Repeatability and workability evaluation of SIGMOD 2011.
  P. Bonnet and others.
  SIGMOD Rec., 40:45–48, 2011.
• A provenance-based infrastructure for creating executable papers.
  D. Koop, E. Santos, P. Mates, H. T. Vo, P. Bonnet, B. Bauer, B. Surer, M. Troyer, D. N. Williams, J. E. Tohline, J. Freire, and C. T. Silva.
  Procedia Computer Science, 4:648–657, 2011. ICCS 2011, Grand Challenge Finalist.
• VisTrails.
  D. Koop, E. Santos, C. E. Scheidegger, H. T. Vo, C. T. Silva, and J. Freire.
  In Architecture of Open-Source Applications. 2011.
• DEFOG: A system for data-backed visual composition.
  L. D. Lins, D. Koop, J. Freire, and C. T. Silva.
  SCI Technical Report UUSCI-2011-003, SCI Institute, University of Utah, 2011.
• The ALPS project release 2.0: Open source software for strongly correlated systems.
  B. Bauer and others.
  2011. Paper available at http://arxiv.org/pdf/1101.2646 and underlying workflows at http://arxiv.org/abs/1101.2646.
• Bridging workflow and data provenance using strong links.
  D. Koop, E. Santos, B. Bauer, M. Troyer, J. Freire, and C. T. Silva.
  In Scientific and Statistical Database Management, vol. 6187 of LNCS, pp. 397–415. 2010.
• The provenance of workflow upgrades.
  D. Koop, C. E. Scheidegger, J. Freire, and C. T. Silva.
  In Provenance and Annotation of Data and Processes, vol. 6378 of LNCS, pp. 2–16. 2010.
• Using mediation to achieve provenance interoperability.
  T. Ellqvist, D. Koop, J. Freire, C. T. Silva, and L. Strömbäck.
  IEEE International Workshop on Scientific Workflows, pp. 291–298, 2009.
• Using workflow medleys to streamline exploratory tasks.
  E. Santos, D. Koop, H. T. Vo, E. W. Anderson, J. Freire, and C. T. Silva.
  In Scientific and Statistical Database Management, vol. 5566 of LNCS, pp. 292–301. 2009.
• Using mediation to achieve provenance interoperability.
  T. Ellqvist, D. Koop, J. Freire, C. T. Silva, and L. Strömbäck.
  In IEEE Fourth International Conference on eScience, pp. 398–399, 2008.
• VisComplete: Automating suggestions for visualization pipelines.
  D. Koop, C. E. Scheidegger, S. P. Callahan, J. Freire, and C. T. Silva.
  IEEE Trans. Vis. Comp. Graph. (Proc. of Visualization), 14(6):1691–1698, 2008.
• Using provenance to support real-time collaborative design of workflows.
  T. Ellqvist, D. Koop, E. W. Anderson, J. Freire, and C. T. Silva.
  In Provenance and Annotation of Data and Processes, vol. 5272 of LNCS, pp. 266–279. 2008.
• Querying and re-using workflows with VisTrails.
  C. E. Scheidegger, H. T. Vo, D. Koop, J. Freire, and C. T. Silva.
  In Proc. of SIGMOD 2008, pp. 1251–1254, 2008.
• Provenance for computational tasks: A survey.
  J. Freire, D. Koop, E. Santos, and C. T. Silva.
  IEEE Computing in Science and Engineering, 10(3):11–21, 2008.
• Special issue: The first provenance challenge.
  L. Moreau, B. Ludäscher, and others.
  Concurrency and Computation: Practice and Experience, 20(5):409–418, 2008.
• Tackling the provenance challenge one layer at a time.
  C. E. Scheidegger, D. Koop, E. Santos, H. T. Vo, S. P. Callahan, J. Freire, and C. T. Silva.
  Concurrency and Computation: Practice and Experience, 20(5):473–483, 2008.
• Examining statistics of workflow evolution provenance: A first study.
  L. D. Lins, D. Koop, E. W. Anderson, S. P. Callahan, E. Santos, C. E. Scheidegger, J. Freire, and C. T. Silva.
  In Scientific and Statistical Database Management, vol. 5069 of LNCS, pp. 573–579. 2008.
• Querying and creating visualizations by analogy.
  C. E. Scheidegger, H. T. Vo, D. Koop, J. Freire, and C. T. Silva.
  IEEE Trans. Vis. Comp. Graph. (Proc. of Visualization), 13(6):1560–1567, 2007. Best Paper Award.
• VisTrails: Using provenance to streamline data exploration.
  E. W. Anderson, S. P. Callahan, D. Koop, E. Santos, C. E. Scheidegger, H. T. Vo, J. Freire, and C. T. Silva.
  In International Workshop on Data Integration in the Life Sciences (DILS), 2007. Poster presentation.
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Students

• Colin Brown
• Ravi Shankar (M.S. 2019)
• Akhilesh Camisetty (M.S., 2017)
• Jay Patel (M.S., 2017)
• Chaitanya Chandurkar (M.S., 2016)
• Seth Borges (M.S., 2016)

Other

• Before joining NIU, I worked at UMass Dartmouth and NYU. My PhD is from the University of Utah where I was advised by Dr. Juliana Freire and Dr. Cláudio Silva at the SCI Institute. I completed a Masters at UW-Madison and did my undergraduate work at Calvin College.
• I have enjoyed playing Ultimate in Madison, Salt Lake City, Tucson, Massachusetts, Rhode Island, and Illinios.
• I had the opportunity to spend the summer of 2008 at Microsoft Research.