Emanuele SantosL. Moreau, B. Lud ̈ascher, I. Altintas, R. S. Barga, S. Bowers, S. Calla- han, G. Chin, Jr., B. Clifford, S. Cohen, S. Cohen-Boulakia, S. David- son, E. Deelman, L. Digiampietri, I. Foster, J. Freire, J. Frew, J. Futrelle, T. Gibson, Y. Gil, C. Goble, J. Golbeck, P. Groth, D. A. Holland, S. Jiang, J. Kim, D. Koop, A. Krenek, T. McPhillips, G. Mehta, S. Miles, D. Met- zger, S. Munroe, J. Myers, B. Plale, N. Podhorszki, V. Ratnakar, E. San- tos, C. Scheidegger, K. Schuchardt, M. Seltzer, Y. L. Simmhan, C. Silva, P. Slaughter, E. Stephan, R. Stevens, D. Turi, H. Vo, M. Wilde, J. Zhao, and Y. Zhao. Special issue: The first provenance challenge. Concurr. Comput. : Pract. Exper., 20(5):409–418, Apr. 2008.
Abstract
The first Provenance Challenge was a community activity aiming at understanding the expressiveness of provenance representations and capabilities of provenance systems. To this end, a Functional Magnetic Resonance Imaging workflow was defined, which participants had to either simulate or run in order to produce some provenance representation, from which a set of identified queries had to be implemented and executed. Seventeen teams responded to the challenge, and submitted their inputs. In this paper, we present the challenge workflow and queries, and summarise the participants contributions.