## ACM SIGIR Artifact Badges ## The ACM Special Interest Group on Information Retrieval (SIGIR) adheres to and implements the ACM policies for "Artifact Review and Badging” (https://www.acm.org/publications/policies/artifact-review-and-badging-current <https://www.acm.org/publications/policies/artifact-review-and-badging-current>).
Artifact badging is not only intended for further improving our experimental practices, but especially to highlight and recognize the outstanding efforts made by those who go the extra mile to make their experiments’ code and data not only available online, but also easy to use, fully functional, and reproducible. Overall, the initiative promotes reproducibility of research results and allows scientists and practitioners to immediately benefit from state-of-the-art research results, without spending months re-implementing the proposed algorithms and trying to find the right parameter values, or creating datasets or running intensive user-oriented evaluation. We also hope that it will indirectly foster scientific progress, since it allows researchers to reliably compare with and build upon existing techniques, knowing that they are using exactly the same implementation. Badge Types: ** Artifacts Evaluated – Functional ** The artifacts associated with the research are found to be documented, consistent, complete, exercisable, and include appropriate evidence of verification and validation. ** Artifacts Evaluated – Reusable and Available ** The artifacts associated with the paper are of a quality that significantly exceeds minimal functionality. That is, they have all the qualities of the Artifacts Evaluated – Functional level, but, in addition, they are very carefully documented and well-structured to the extent that reuse and repurposing are facilitated. In particular, the norms and standards of the research community for artifacts of this type are strictly adhered to. This badge is applied to papers in which associated artifacts have been made permanently available for retrieval. ** Results Reproduced ** The main results of the paper have been obtained in a subsequent study by a person or team other than the authors, using, in part, artifacts provided by the author. ** Results Replicated ** The main results of the paper have been independently obtained in a subsequent study by a person or team other than the authors, without the use of author-supplied artifacts The different types of ACM stamps are not meant to be a measure of the scientific quality of the paper themselves or of the usefulness of presented algorithms, which are assessed by means of the traditional peer-review processes and by adoption/impact in the research and industry community. Rather, they are a recognition of the service provided by authors to the community by releasing the code and/or data and they are an endorsement of the replicability and/or reproducibility of the results presented in the paper. The stamps also alert users of the ACM Digital Library about the presence and location of these artifacts in the ACM DL: Datasets – https://dl.acm.org/artifacts/dataset <https://dl.acm.org/artifacts/dataset> Software – https://dl.acm.org/artifacts/software <https://dl.acm.org/artifacts/software> In this way, each artifact will be assigned its own DOI, will be directly citable, and will be linked to its corresponding paper. ## Artifact Submission ## ACM SIGIR Artifact Badges applies to artifacts complementing papers accepted in one of the following venues: ACM Transactions on Information Systems (TOIS) Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ACM on Conference on Human Information Interaction and Retrieval (CHIIR) ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) The submission is always open and authors are welcome to apply for badges as soon as their papers get accepted in one of the above venues. Irrespective of the nature of the artifacts, authors should create a single Web page (whether on their site or a third-party repository service) that contains the artifact, the paper, and all necessary instructions. For artifacts where this would be appropriate, it would be helpful to also provide a self-contained bundle (including instructions) as a single file (.tgz or .zip) for convenient offline use. The artifact submission thus consists of just the URL and any credentials required to access the files submitted into the submission system: https://openreview.net/group?id=ACM.org/SIGIR/Badging <https://openreview.net/group?id=ACM.org/SIGIR/Badging> ## Artifact Preparation Guidelines and Review Procedure ## You can find more information about the ACM SIGIR Artifact Badges at: https://sigir.org/general-information/acm-sigir-artifact-badging/ <https://sigir.org/general-information/acm-sigir-artifact-badging/> There you can also find detailed instructions and suggestions about how to prepare your artifacts for each type of badge and the reviewing criteria for each of them. Each artifact will be reviewed by a senior and junior member of the Artifact Evaluation Committee (AEC). For any questions or clarifications, please contact us at: [email protected] <mailto:[email protected]> ## ACM SIGIR Artifact Evaluation Committee (AEC) ## Chair and Vice-chair Nicola Ferro, University of Padua, Italy [chair] Johanne Trippas, RMIT University , Australia [vice-chair] Senior Members Alessandro Benedetti, Sease, UK Rob Capra, University of North Carolina at Chapel Hill, USA Diego Ceccarelli, Bloomberg, UK Anita Crescenzi, University of North Carolina at Chapel Hill, USA Charles L . A. Clarke, University of Waterloo, Canada Yi Fang, Santa Clara University, USA Norbert Fuhr, University of Duisburg-Essen, Germany Claudia Hauff, Delft University of Technology, The Netherlands Jiqun Liu, University of Oklahoma, USA Maria Maistro, University of Copenhagen, Denmark Miguel Martinez, Signal AI, UK Parth Mehta, Parmonic, USA Martin Potthast, Leipzig University, Germany Tetsuya Sakai, Waseda University, Japan Ian Soboroff, National Institute of Standards and Technology (NIST), USA Paul Thomas, Microsoft, Australia Andrew Trotman, University of Otago, New Zealand Min Zhang, Tsinghua University, China Junior Members Valeriia Baranova, RMIT University, Australia Arthur Barbosa Câmara, Delft University of Technology, The Netherlands Hamed Bonab, University of Massachusetts Amherst, USA Kathy Brennan, Google, USA Timo Breuer, TH Köln, Germany Guglielmo Faggioli, University of Padua, Italy Alexander Frummet, University of Regensburg, Germany Darío Garigliotti, Aalborg University, Denmark Chris Kamphuis, Radboud University, The Netherlands Johannes Kiesel, Bauhaus-Universität Weimar, Germany Yuan Li, University of North Carolina at Chapel Hill, USA Joel Mackenzie, University of Melbourne, Australia Antonio Mallia, New York University, USA David Maxwell, Delft University of Technology, The Netherlands Felipe Moraes, Delft University of Technology, The Netherlands Ahmed Mourad, University of Queensland, Australia Zuzana Pinkosova, University of Strathclyde, UK Chen Qu, University of Massachusetts Amherst, USA Anna Ruggero, Sease, UK Svitlana Vakulenko, University of Amsterdam, The Netherlands Sasha Vtyurina, KIRA systems, Canada Oleg Zendel, RMIT University, Australia Steven Zimmerman, University of Essex, UK
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