unHIDE - unified Helmholtz Information and data exchange
unHIDE - unified Helmholtz Information and data exchange#
Introduction & Scope#
Research across the Helmholtz Association (HGF) depends and thrives on a complex network of inter- and multidisciplinary collaborations which spans across its 18 Centres and beyond.
However, the (meta)data generated through the HGF’s research and operations is typically siloed within institutional infrastructure and often within individual teams. The result is that the wealth of the HGF’s (meta)data is stored and maintained in a scattered manner, and cannot be used to its full value to scientists, managers, stratgists, and policy makers.
To address this challenge, the Helmholtz Metadata Collaboration (HMC) is launching the unified Helmholtz Information and Data Exchange (unHIDE). This initiative seeks to create a lightweight and sustainable interoperability layer to interlink data infrastructures and provide greater, cross-organisational access to the HGF’s (meta)data and information assets. Using proven and globally adopted knowledge graph technology (Box 1), unHIDE will develop a comprehensive association-wide Knowledge Graph (KG) the “Helmholtz-KG”: a solution to connect (meta)data, information, and knowledge.
What is a Knowledge Graph?
A “graph”, from graph theory, is a structure that models pairwise connections between objects using “nodes” connected by “edges”.
A “knowledge graph” uses such a graph structure to capture knowledge about how a collection of things (represented as nodes) relate to one another (via edges). This helps organisations keep track of their collective knowledge, especially in complex and rapidly changing scenarios.
Social networks are perhaps the best known graphs, that store knowledge about who knows whom and how, what their interests are, what groups they belong to, and what content they create and interact with.
With the implementation of the Helmholtz-KG, unHIDE will create substantial additinal value for the Helmholtz digital ecosystem and its interconnectivity:
With the development of the Helmholtz-KG, unHide will:
increase discoverability and actionability of HGF data across the whole Association*
motivate enhancement of (meta)data quality  and interoperability
provide overviews and diagnositcs of the HGF dataspace and digital assets
allow for traceable and reproducible recovery of (meta)data to enhance research
support connectivity of HGF data to interact with global infrastructures and projects
act as a central access and distribution point for stakeholders within and beyond the HGF
Contributors and Partners#
This project was developed and funded by the Helmholtz Metadata Collaboration (HMC), an incubator-platform of the Helmholtz Association within the framework of the Information and Data Science strategic initiative.