This hands-on, in-person workshop empowers research support professionals to move beyond static views of metadata and actively interrogate, assess, and act on DOI metadata at scale using the DataCite API. Using the DataCite metadata schema as a practical reference point, participants will work directly with real DOI metadata to explore which metadata elements most strongly influence discovery,...
Audience: Research Data Managers, Researchers, Research Infrastructure/service providers, Core facility providers
Most research centers maintain dedicated infrastructures to capture, curate, and store research data produced by their personnel. The employed solutions, however, are often run independently of one another and therefore lack connectivity, creating gaps in the data workflows. An...
[NovaCrate][1] is a web-based interactive editor for creating, editing, and visualizing [Research Object Crates][2] (RO-Crates). Built for inspecting, validating, and manipulating RO-Crates, it enables getting a deeper understanding of an RO-Crate's content and structure.
In our workshop, we aim to provide training in NovaCrate and RO-Crate. We also hope to extend our understanding of the...
Generating FAIR research data and enabling its reuse is the overall goal of research data management. However, establishing machine-readable knowledge representation - the “I” in FAIR - as the foundation for FAIR data and metadata remains a major challenge for many research communities. We have developed an approach to create subject-specific, RDF-compliant metadata profiles (i.e., SHACL...
LinkAhead is a flexible open source toolbox for research data that adapts easily when workflows or requirements change. It offers a clear web interface, programmatic access and a semantic structure that can be extended for many different research contexts.
In this workshop we will introduce LinkAhead and demonstrate how it supports O2A SAMPLES, a sustainable and interoperable platform for...
This workshop will teach you how to use Herbie for setting up a bespoke semantic electronic laboratory notebook or research metadata platform which is customized to your concrete scientific needs.
We will start with an ontology of your scientific domain, pick a typical metadata record you might want to collect, and end with a set of (re)usable web forms for entering such a record in a fully...
Metadata harmonisation is a collective action problem. In this workshop our goal is to bring together data stewards, infrastructure providers, and researchers to share practical experiences in improving metadata quality, and co-identify actionable next steps toward harmonized metadata practices.
The workshop builds on our analysis of metadata provided, previous workshops, and one-on-one...
To accelerate the adoption of FAIR Digital Objects (FDOs), their creation and usage needs to be implemented in software. Our work targets the task of creating and maintaining FDO records. We introduce an application to build designs for FDO records in an intuitive and visual way, targeting non-experts and experts in the field alike. From a design, code and FDOs can be generated to...
This workshop aims to advance the Helmholtz Knowledge Graph (HKG) as a shared metadata backbone by identifying new data providers and sources, extending and refining the HKG data model, and jointly evaluating practical onboarding processes for data providers across Helmholtz.
The Helmholtz Knowledge Graph is a federated metadata infrastructure that makes digital assets—such as datasets,...
The Semantic x-Lab project addresses a fundamental challenge in modern research data ecosystems: the fragmentation of laboratory metadata across heterogeneous systems and disciplinary silos. Funded within the Helmholtz Metadata Collaboration (HMC) and co-led by HZDR, GFZ, and GSI, the project aims to interlink ontology-based descriptions of workflows, instruments, resources, and experimental...
Semantic technologies and terminology services are a cornerstone for implementing the FAIR principles, as they make the meaning of data explicit, machine-actionable, and reusable beyond their original context. While data may be technically accessible, a lack of shared semantics often limits interoperability and hinders reuse across disciplines, infrastructures, and research communities....
