User Input Interface to collect relevant Linked Data property information for interdisciplinary research data annotation and reuse
Publishing and reusing research data are two crucial aspects of proper scientific work beside other steps in the data management lifecycle. In the World Wide Web, the appropriate annotation of research data with meta information is a basic requirement so that other users can find and reuse existing, relevant work. However, it is assumed that the annotation process is tedious for the majority of users, cognitively overloads them with the large amount of information to provide, and results in sparely provided, narrow-minded meta information with ambiguous content in the end. Ontologies such as schema.org/Dataset can act as a blueprint, but it remains hard especially for inexperienced and non-technical users to select relevant properties and manually annotate a dataset based on these vocabularies; especially in the context of Linked Data. Appropriate tools in the data management life cycle could reduce this barrier for a researcher, but it appears that no solution was widely accepted so far, or is bound to a particular data management platform.
The aim of this project is to address this issue with assisting user-centric application interfaces that help and motivate researchers to describe their data by means of Linked Data. After a requirement analysis, already existing UI approaches (both originating in science or industry) have to be compared first to which extent they already satisfy all requirements. Then, a concept has to be developed, how an RDF meta data description for existing research data in heterogeneous shapes can be obtained with user-interaction in the frontend and optional data operations in the background. The meta data description shall include relevant information in a structured and unambiguous fashion so that the described research artefact can be found by other researchers. A web-based prototypical implementation and evaluation has to show the feasibility and acceptance.