  Nowadays there is a growing trend in many scientific disciplines to support
researchers by providing enhanced information access through linking of
publications and underlying datasets, so as to support research with
infrastructure to enhance reproducibility and reusability of research results.
In this research note, we present an overview of an ongoing research project,
named VADIS (VAriable Detection, Interlinking and Summarization), that aims at
developing technology and infrastructure for enhanced information access in the
Social Sciences via search and summarization of publications on the basis of
automatic identification and indexing of survey variables in text. We provide
an overview of the overarching vision underlying our project, its main
components, and related challenges, as well as a thorough discussion of how
these are meant to address the limitations of current information access
systems for publications in the Social Sciences. We show how this goal can be
concretely implemented in an end-user system by presenting a search prototype,
which is based on user requirements collected from qualitative interviews with
empirical Social Science researchers.
