Towards efficient use of data, models and tools in food microbiology

Article Food Science & Technology

Minimum Information Required to Annotate Food Safety Risk Assessment Models (MIRARAM)

Matthias Filter et al.

Summary: The establishment of model annotation guidelines in food safety risk assessment domain aims to enhance transparency, quality control, and clarification of intellectual property rights. MIRARAM, as a Minimum Information Required to Annotate food safety Risk Assessment Models, supports model creators in documenting their models and is expected to promote the application and re-use of models, as well as implementing more standardized quality control.

FOOD RESEARCH INTERNATIONAL (2021)

添加到收藏夹

Review Mathematical & Computational Biology

The landscape of nutri-informatics: a review of current resources and challenges for integrative nutrition research

Lauren Chan et al.

Summary: Informatics has become integral in research, but nutrition remains underrepresented in computational investigations due to challenges within nutri-informatics and nutrition data. By utilizing biomedical ontologies, there is potential to improve standardization and interoperability between nutrition and other biomedical disciplines. To facilitate successful computational research, it is crucial for the nutrition research community to adhere to community standards regarding language standardization and data reuse.

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2021)

添加到收藏夹

Letter Biochemical Research Methods

ELIXIR: providing a sustainable infrastructure for life science data at European scale

Jennifer Harrow et al.

BIOINFORMATICS (2021)

添加到收藏夹

Review Food Science & Technology

Engineering modeling frameworks for microbial food safety at various scales

Mohsen Ranjbaran et al.

Summary: The article discusses the landscape of mathematical model-based understanding of microbial food safety, emphasizing the need to build a general framework that synthesizes literature across multiple disciplines. It presents four interconnected levels of microbial food processes and provides guidelines for integrating various models.

COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY (2021)

添加到收藏夹

Article Microbiology

Big Data Impacting Dynamic Food Safety Risk Management in the Food Chain

John A. Donaghy et al.

Summary: Foodborne pathogens are major contributors to worldwide foodborne illnesses. Big data has the potential for dynamic risk management, but challenges such as data ownership, interoperability, and accessibility remain.

FRONTIERS IN MICROBIOLOGY (2021)

添加到收藏夹

Article Chemistry, Applied