A Consumer Focused Open Data Platform

TL;DR

This paper introduces Data-TAP, a platform designed to enhance data consumers' ability to access, standardize, and analyze open data efficiently, addressing gaps in existing platforms.

Contribution

It presents specifications for a consumer-focused open data platform that standardizes and structures data for easier access and integration.

Findings

Data-TAP leverages existing open data resources effectively.

It provides a standardized framework for data merging.

Uses rule-based parsing for resource processing.

Abstract

Open data has been around for many years but with the advancement of technology and its steady adoption by businesses and governments it promises to create new opportunities for the advancement of society as a whole. Many popular open data platforms have focused on solving the problems faced by the data producer and offers limited support for the data consumers in the way of tools and supported processes for easy access, modeling and mining of data within the various platforms. In this paper we present the specifications for a data consumer oriented platform for open data, the Data-TAP. We demonstrate how this platform is able to (a) meet the goal of leveraging the data resources of existing Open Data platforms, (b) provide a means to standardize and structure data to allow for the merging of related data resources and (c) use a rule-based method for parsing resources. This paper will show how Data-TAP provides an easy to use and understand interface for making open data friendlier for consumers.