Deliverable D7.1 BIOINDUSTRY 4.0 Data Management Plan Version 1
Data Management Plan of BIOINDUSTRY 4.0
As part of Task 7.1 “A Data and Metadata Fabric to support DTs” of Work Package (WP) 7 a Data Management Plan (DMP) is to be generated (Deliverable 7.1). This deliverable is intended to address the request by the European Commission to establish a plan regarding ‘data’ generated during the BIOINDUSTRY 4.0 programme. More explicitly, how data will be described (metadata, standards, etc.), shared, utilised, stored, and archived. This living document constitutes the Data Management Plan for BIOINDUSTRY 4.0. It is intended that this document will evolve over the course of the BIOINDUSTRY 4.0 and will therefore be regularly updated.
Summary
- Project Number: 101094287
- Project: Bioindustry4.0
- Topic: HORIZON-INFRA-2022-TECH-01-01
- Duration: 48 Months
- Start date of Project: 1st January 2023
- End date of the Project: 31st December 2026
- Coordinator: INRAE
- Deliverable: 7.1
- Due date of deliverable: 30th June 2023
- Actual submission date: 30th June 2023
- Work package number: WP7
- WP Leader (name and organisation): Jasper Koehorst - WU
- Person in charge of the deliverable (name and organisation): Jasper Koehorst - WU
- Author(s): Brett Metcalfe & Jasper Koehorst
- Contributors: WP7 Participants
- Document version: 1
SEEK ID: https://ibisbahub.eu/documents/82?version=1
Filename: Bioindustry4.0_D7_1_v1.docx
Format: Word document
Size: 4.68 MB
Export PNG
Download
Creators and Submitter
Views: 117 Downloads: 0
Created: 31st Oct 2025 at 14:57
AttributionsNone
Version History
Version 1 (earliest) Created 31st Oct 2025 at 14:57 by Brett Metcalfe
No revision comments
Related items
Projects: Uncurated Protocols Library, Muconic Acid Production, An inventory of the Aspergillus niger secretome by combining in silico predictions with shotgun proteomics data, Template library, Coculture, IBISBA 1.0 deliverables, PREP-IBISBA deliverables, Industrial-scale penicillin simulation, Sandbox, Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services, IBISBA-DIALS WP3, STAMM: Soft sensor moniToring and mAintenance framework for Machine learning Models, Bioindustry4.0 Public dissemination, raw2ready
Institutions: Wageningen University & Research, UNLOCK
https://orcid.org/0000-0001-8172-8981
Projects: Industrial-scale penicillin simulation, Sandbox, Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services, IBISBA-DIALS WP3, BIOREM, Hybrid Physics-Informed Neural Networks for Efficient Computational Modeling: A Workflow Framework Applied to Schwanniomyces occidentalis, Pseudomonas putida use case, STAMM: Soft sensor moniToring and mAintenance framework for Machine learning Models, Bioindustry4.0 Public dissemination, Data Fabric Usage Demos, raw2ready, IBISBA-ERIC
Institutions: Wageningen University & Research
https://orcid.org/0000-0002-5873-9815
Postdoctoral Researcher Laboratory of Systems and Synthetic Biology at Wageningen University & Research (WUR) working on Digital Twins, Data Fabrics, and research data management.
URL
- Institutional profile
- [Google ...
Real-time online monitoring of bioprocesses
Industrial biotechnology (IB) has the potential to create new markets while protecting the environment. With this in mind, the EU-funded BIOINDUSTRY 4.0 project will pave the way for IB to become a major manufacturing technology. Supporting the digitalisation of IB, the project will create new services delivered by European research infrastructure. These will address several challenges, focusing on the acceleration of bioprocess development pipelines. ...
Projects: Industrial-scale penicillin simulation, Scorpion antivenom nanobody production in Escherichia coli (Recombinant bispecific VHH), Production of the monoclonal antibody Trastuzumab in Komagataella phaffii (Pichia pastoris) for breast cancer treatment, Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services, Hybrid Physics-Informed Neural Networks for Efficient Computational Modeling: A Workflow Framework Applied to Schwanniomyces occidentalis, Saccharomyces cerevisiae, Pseudomonas putida use case, STAMM: Soft sensor moniToring and mAintenance framework for Machine learning Models, Pichia pastoris fermentation, Bioindustry4.0 Public dissemination, Bioindustry4.0 Work Package 2: Dissemination, Communication Exploitation and capacity building, Data Fabric Usage Demos, raw2ready, SCHEMA, Joint Action Research - INRAE-UAB in Pichia pastoris, Joint xylitol fermentations monitored by Kaiser and Timegate Raman devices, UAB - Komagataella phaffii Use Case, Bioindustry4.0 Work Package 5
Web page: https://www.bioindustry4.eu
Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services
Real-time online monitoring of bioprocesses
Industrial biotechnology (IB) has the potential to create new markets while protecting the environment. With this in mind, the EU-funded BIOINDUSTRY 4.0 project will pave the way for IB to become a major manufacturing technology. Supporting the digitalisation of IB, the project will create new services delivered by European research ...
Programme: Bioindustry 4.0
Public web page: https://www.bioindustry4.eu/
Start date: 1st Jan 2023
End date: 31st Dec 2026
