Expert assessment of RobotReviewer data extraction performance on 10 articles

Dataset

Description

The PDF describes the process and data used for the heuristic user evaluation described in the related article “Evaluating an automatic data extraction tool based on the theory of diffusion of innovation” by Linh Hoang, Frank Scannapieco, Linh Cao, Yingjun Guan, Yi-Yun Cheng, and Jodi Schneider (under submission).

Frank Scannapieco assessed RobotReviewer data extraction performance on ten articles in 2018-02. Articles are included papers from an update review: Sabharwal A., G.-F.I., Stellrecht E., Scannapeico F.A. Periodontal therapy to prevent the initiation and/or progression of common complex systemic diseases and conditions. An update. Periodontol 2000. In Press.

The form was created in consultation with Linh Hoang and Jodi Schneider. To do the assessment, Frank Scannapieco entered PDFs for these ten articles into RobotReviewer and then filled in ten evaluation forms, based on the ten Robot Reviewer automatic data extraction reports. Linh Hoang analyzed these ten evaluation forms and synthesized Frank Scannapieco’s comments to arrive at the evaluation results for the heuristic user evaluation.
Date made availableJul 25 2018
PublisherUniversity of Illinois at Urbana-Champaign

Keywords

  • RobotReviewer
  • systematic review automation
  • data extraction

Cite this

Scannapieco, F. (Creator), Hoang, L. (Creator), Schneider, J. A. (Creator). (Jul 25 2018): Expert assessment of RobotReviewer data extraction performance on 10 articles, University of Illinois at Urbana-Champaign. 10.13012/B2IDB-8274875_V1