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Share Data

This page provides access to guidance on best practices in sharing infectious disease and pandemic preparedness data. Overall, data should be made as open as possible and as closed as necesssary (see national guidelines on Open Science). Contact our helpdesk to get tailored support for sharing your data.

Where to share data

Data should be shared in well-established, data-type specific repositories wherever possible. This not only makes it more findable, it also ensures that any relevant metadata standards and recommended file formatting will be applied, which will increase the reuse of the data.

Locating a suitable repository:

In the event that there is no data-type specific repository available, or you're unsure where to share your data, contact our helpdesk for support. Alternatively, you can deposit data in a non-data type specific repository. For example, the SciLifeLab Data Repository accepts life science data from Swedish researchers. Data can also be stored using services such as SciLifeLab FAIR Storage, which provides Swedish researchers with secure, high-performance storage designed for large-scale life science datasets.

Standards for data sharing

Locating advice

Infection biology research often involves sensitive, complex, and large-scale data. It can be difficult to understand the ramifications of sharing particular data types, and how data of different types should be shared. Getting tailored guidance is possible through the Swedish Pathogens Portal helpdesk. However, multiple resources have also been generated to aid with sharing data related to infectious disease and pandemic preparedness.

The Infectious Disease Toolkit (IDTk) was created to collate information on best practices in data management from across infectious disease research. It covers topics such as biosafety, ethical considerations, and data flows for handling sensitive pathogen and patient-derived data. IDTk also links to tools, repositories, and policies relevant to Sweden, making it directly applicable for researchers based in Sweden.

A wealth of information is also located in research data management (RDM) resources that are not infectious disease-specific. Indeed, these resources often contain a mix of guidance that is broadly applicable to multiple data types (e.g. how to write a data management plan, or share data appropriately), and considerations that are specific for a given data type. RDMkit contains advice on best practices throughout the data lifecycle for multiple data types, and also includes a section on human pathogen data. The section covers key considerations on multiple aspects of handling human pathogen data, including ethical and legal requirements, metadata standards, and data sharing, and also links to recommended standards, repositories, tools, and best practices to support FAIR and reproducible pathogen genomics research. SciLifeLab RDM Guidelines is similar, though the guidance is more specifically tailored to researchers in Sweden, with links to national and international resources, as appropriate. Resources of particular interest for infectious disease researchers include the data type guide, and the ENA submission tutorial.

Metadata standards

When sharing data, it is important to follow relevant metadata standards to ensure that your data is reusable. Metadata standards are often outlined by data repositories. The following table provides an overview of some key metadata standards separated by data type.

Metadata standards table

entries
Data type Standards Description
Genomics

MIxS (Minimum Information about any 'x' Sequence)

Developed by Genomic Standards Consortium ; used for describing sequences from different environments (e.g., host-associated, environmental).

Genomics

MINSEQE (Minimum Information about a High-Throughput Nucleotide Sequencing Experiment)

Recommended by FGED for RNA-seq and other sequencing metadata.

Genomics

ENA Checklists

Specific checklists for submission to European Nucleotide Archive (e.g., pathogen, human, metagenome).

Genomics

ISA-Tab / ISA-JSON

Framework for describing experimental metadata, often used with bioinformatics tools and databases.

Proteomics

MIAPE (Minimum Information About a Proteomics Experiment)

Developed by HUPO-PSI; covers mass spectrometry, sample processing, informatics.

Proteomics

PSI-MI XML / MITAB

For molecular interaction data formats (used in interaction databases).

Proteomics

mzML / mzIdentML / mzTab

Standard formats for raw data, identifications, vocabulary and quantification results in the field of mass spectrometry-based proteomics.

Imaging

OME-TIFF / OME-XML

Developed by Open Microscopy Environment; widely used for storing microscopy images and associated metadata.

Imaging

REMBI (Recommended Metadata for Biological Images)

Designed to enable reproducibility and data reuse for imaging datasets.

Imaging

DICOM (Digital Imaging and Communications in Medicine)

Standard for handling, storing, and transmitting medical imaging information (e.g., CT, MRI).

Showing 1 to 10 of 23 entries

Licensing

Selecting the correct licence when sharing data is important for enabling data reuse whilst protecting your rights as the data creator.

What does a licence do?:

  • Defines how others may access, use, and distribute your data.
  • Ensures you receive proper credit and attribution for your work.
  • Supports FAIR principles, making data Findable, Accessible, Interoperable, and Reusable.
  • Reduces legal uncertainty for both creators and users.

Before selecting a licence, check:

  • Institutional or funder requirements (e.g., EU Horizon, SciLifeLab, or Swedish Research Council mandates).
  • Whether your data includes sensitive, personal, or third-party components that cannot be made fully open.
  • Any journal or repository-specific policies (Re3data.org lists repositories and their licensing policies).

What else to consider:

  • Include a clear licence statement in your metadata and documentation.
  • When in doubt, consult your institutional data steward or legal team before assigning a licence.

Other useful information on licensing