A centralized tool for managing, archiving, and serving point-in-time data in ecological research laboratories

The recent proliferation of software tools that aid researchers in various phases of data tracking and analysis undoubtedly contribute to successful development of increasingly complex and data-intensive scientific investigations. However, the lack of fully integrated solutions to data acquisition and storage, quality assurance/control, visualization, and provenance tracking of heterogeneous temporal data streams collected at numerous geospatial locations continues to occupy a general problem area for scientists and data managers working in the environmental sciences. We present a new Service Oriented Architecture (SOA) that allows users to: 1) automate the process of pushing real-time data streams from networks of environmental sensors or other data sources to an electronic data archive; 2) to perform basic data management and quality control tasks; and 3) to publish any subset of the data to existing cyberinfrastructure platforms for global discovery and distribution via the World Wide Web. The approach outlined here supports management of: 1) repeated field observations, 2) data from laboratory analysis of field samples, 3) simulation results, and 4) derived values. We describe how the use of Hypertext Transfer Protocol (HTTP) Application Programming Interfaces (APIs) Representational State Transfer (REST) methods for data model objects and Resource Query Language (RQL) interfaces respond to a basic problem area in environmental modelling by enabling researchers to integrate an electronic data repository with existing workflows, simulation models, or third-party software. Integrating data life-cycle management and e-Science publication systems is needed.The VOEIS Data Hub (VDH), a new software application, responds to this need.VDH provides software tools for data storage, management, and visualization.VDH integrates with models, third-party software, and other cyberinfrastructures.