Research Data Management

Unlock the full potential of your research data with our Engineering Services

Research data has proven to be a major asset for exploring scientific hypotheses across the biomedical industry. Using this data to their full potential is often not easy, especially when working across department and unit boundaries. This can be due to metadata that is inconsistently used or applied between sources, is missing or is used incorrectly.

Our Research Data Management (RDM) team can help you organize and manage your data so you can focus on the research questions and data analysis that you care about.

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What we offer

Our RDM Professional Engineering Services include

Semantic Modeling

Having a semantic model allows you to standardize and harmonize structured data so that it is comprehensible for both humans and machines. It is an essential step towards making data more FAIR and it facilitates data integration within and across R&D data domains. In contrast to other types of data models, a semantic model specifies the meaning (or semantics) of domain-specific concepts, such as genes, proteins and assays.

The Hyve can create semantic models that cover distinct biomedical domains, typically from pharma R&D departments, such as small and large molecule research, omics, clinical, etc.

Knowledge Graphs

A knowledge graph typically connects entities from multiple domains, with formal semantics provided by a semantic model. It serves as a flexible framework for data integration, harmonization, analytics, and sharing of data from multiple sources. This data, organized in a graph, can then be queried and navigated in a uniform manner.

The Hyve can build knowledge graphs that integrate data from different sources across pharma R&D, and cover pharmacological (small/large molecules), omics, and clinical data.

FAIR by Design services

Rather than making existing data more FAIR, The Hyve can also help you make data FAIR by Design. With our software engineering services we can build or customize open-source tools to enable integrations with existing data sources. This supports knowledge creation and collaboration.

An example of FAIR by Design software solution is Fairspace, a platform that can be used by data stewards to design data models and by researchers to annotate, publish and collaboratively share their existing research data as digital FAIR data objects. We can also work with other open-source data management tools such as Gen3, iRODs and COLID.

Are you facing these challenges?

  • Data is difficult to find for researchers in any site, domain, or folder.

  • Users are unable to access data that is managed by others.

  • Data is not integrated or reused easily within the company.

  • Querying data is time consuming, complicated and involves manual processes.

Let's collaborate to overcome these challenges!

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RDM Science Community Initiatives

The Hyve is a member of Pistoia Alliance and FAIRplus

Pistoia Alliance is a global, not-for-profit, members’ organization with more than 100 members collaborating to lower barriers to innovation in life science and healthcare R&D. Pistoia Alliance projects intend to overcome common obstacles to innovation in these sectors and to transform R&D. The Hyve is a member of the alliance and contributes to the FAIR principles initiatives within the community.

The FAIRplus consortium develops tools and guidelines to make life science data more FAIR. It has 22 partners from academia and the pharmaceutical industry, and runs from January 2019 to December 2022. The Hyve’s contribution to the consortium is the FAIRification of IMI datasets, the FAIRplus data management plan and the FAIR cookbook recipes.