SurvAnnT: Facilitating Community-Led Scientific Surveys and Annotations

Anargiros Tzerefos, Ilias Kanellos, Serafeim Chatzopoulos, Theodore Dalamagas, Thanasis Vergoulis

Abstract: A core research activity in many scientific domains concerns gathering data via questionnaire-based surveys. Meanwhile, annotation projects, that require input by field specialists, are invaluable in various research areas. Surveys and annotation projects share inherent similarities, since they both depend on participants who are prompted to answer a set of questions referring to particular artifacts (e.g., text segments). Both tasks are hindered by their dependence on volunteering, often requiring participants of a particular background, thus burdening research conductors to seek suitable ones. In this paper, we present SurvAnnT, a platform that facilitates the creation and management of surveys and annotation projects. SurvAnnT goes beyond existing tools offering customizable gamification aspects to motivate participation, as well as expert finding mechanisms to facilitate the identification of suitable participants.