Welcome to the Salmon Ecosystem Data Hub (SalHub)

Enhancing data mobilisation through a centralised data repository for Atlantic salmon - https://doi.org/10.1016/j.ecoinf.2022.101746

SalHub is a web application that aims to guide researchers to data sources for testing hypotheses, informing management activities, and ultimately improving Atlantic salmon populations.

This resource is ready for use but may change in appearance and functionality as our user base and knowledge base grows. Development suggestions are always welcome and can be directed to the team via email. It is best viewed in a modern browser, at a zoom level of 100% or less and is not designed to be viewed on a mobile device.

The Salmon Ecosystem Data Hub

The Salmon Ecosystem Data Hub (SalHub) is an online portal intending to provide a unique platform for Atlantic salmon knowledge mobilisation. The portal consists of an area inviting users to register salmon knowledge through a simplified metadata submission form, and a set of search areas to guide researchers to the data they need to test hypotheses. Registered knowledge sources are indexed within the resource by how they relate to the Atlantic salmon by Life-Stage via the use of temporal detail, spatial detail, and specially defined salmon domains, as well as information on the classification of variables within the data. All knowledge in the resource is present because it is relevant to Atlantic salmon ecology, be that through Primary Observation, Derived Output, or Modelled Output.

Further background information and instructional videos on using SalHub are available via the Missing Salmon Alliance website.

Search The Salmon Ecosystem Data Hub

The search areas allow exploration of the knowledge sources that have been registered in the Salmon Ecosystem Data Hub. These searches are presented in ways to facilitate different use cases, from a location-based map search, free text based tabular search, to predefined filters based on Mortality Hypotheses or Atlantic salmon Life-Stage.

Submit Data to The Salmon Ecosystem Data Hub

Through this portal you may submit knowledge sources via an easy-to-follow metadata form. The metadata captured ties in to existing metadata standards to ensure the descriptions have longevity and portability across other data repositories. The metadata form has a minimum set of fields to capture at least the existence of a dataset along with owner contact details, plus more expansive fields to capture detail on location, time and attributes, among other information. The more detail that can be supplied at this stage then the more utility the resource can add to the search areas.

The Metadata

The data source descriptions are grounded in a common language, Ecological Metadata Language (EML). All efforts put in to describing the data thoroughly via this interface are interoperable with popular online metadata catalogues such as:

Data Citation

The creation of static and citable data sources with an associated Digital Object Identifier (DOI) promotes more open and reproducible research, as well as adding provenance to new syntheses that can otherwise be difficult to trace. Data citation also provides a way for data owners to leverage more value from their used data resources. The Salmon Ecosystem Data Hub assigns locally unique identifiers and can facilitate the creation of globally unique and dereferenceable DOI's via the Knowledge Network for Biocomplexity.
All members are expected to abide by academic norms for citation. Data Citation conventions have been developed by the FORCE11 community and can be found here: force11.org

Data Sharing Group New Member Registration

By registering you are accepting the terms in the Data Sharing Memorandum of Agreement.

Please review this agreement before proceeding.

Data Sharing Group

The Missing Salmon Alliance is developing its’ Likely Suspects Framework programme to coordinate efforts to collate and mobilise relevant knowledge from around the North Atlantic to facilitate testing hypotheses relating to drivers of salmon mortality. We are building a unique data resource using variable categories and search tools to help researchers explore and utilize data from a wide range of sources.

Parties can join the Likely Suspect Framework’s Data Sharing Group (hereafter the Data Sharing Group), in which there is a mutualistic relationship of data being shared and used. This document sets out the guiding principles as a memorandum of our agreement among all parties joining the Data Sharing Group.

Data submission

Submission of knowledge is an expectation of membership of the Data Sharing Group. Descriptions of the data source (metadata) with information regarding its spatial and temporal extents, and data owner contact information are the minimum requirement to submit data/metadata. Primary data does not have to be submitted but is recommended. If metadata only is to be submitted, it is expected that the primary data is already freely available online or should be made available upon request from the database manager. If the data are subject to an embargo this can be indicated in the metadata along with an end date.

Submissions will undergo a quality control process that ensures the metadata is consistent, however it is still the user’s responsibility to ensure that the data is fit for the intended use. The metadata should contain all the necessary information to make this judgement, clarification from the database manager should be sought if this is not the case.

Using data resources

Access to data resources will be via an online request form where the requester will supply information such as expected usage, expected duration of use and details of who will have access to the data. The request will be made in the name of the logged in person and access to the data resource will be granted to that same person. The use of data resources for commercial purposes is not permitted.

Data Access Audit

Access history and actions (e.g., submit resource, request resource) will be audited per user within the resource to keep a record of usage statistics and also assist users to keep track of historical activity.

Secure Data

Despite our goal to ensure the cohesion and mobilisation of salmon-specific data and information to those driving salmon conservation, it is both ours and your responsibility to ensure the security of the data. Data and metadata within our database are a mix of both public and private sourced information. Knowledge resources will be highlighted as ‘Members Only’ if they are not already available for public download via an existing online portal, and these should be treated as confidential data. Despite your access to use the data we provide you cannot share these restricted data with third parties without permission from the database manager who will seek consent from the primary contact for that data.

For our part, we will host the metadata and the associated data files themselves securely on Amazon Web Services platform. The tools we create to submit, view and access the data will be behind a secure login accessible only to those in the Data Sharing Group.

Acknowledgment of Usage

Parties joining the Data Sharing Group are expected to abide by academic norms for citation. Further information on Data Citation conventions can be found at https://www.force11.org/datacitationprinciples. Acknowledgment of the Likely Suspects Framework’s Database as a resource for data discovery (whether restricted or public), as well as the primary authors of the data resource themselves should be made in the form of a formal citation. Any novel outputs generated (e.g. scientific papers, reports, presentations) from data extracted from the database must also acknowledge this source, and also cite the relevant primary data source.

Digital Object Identifier for Data

Submitted data are assigned unique identifiers. These can be used to facilitate attribution when a Data Source is used in research material. Our design also makes use of specifications that give us access to online repositories such as https://knb.ecoinformatics.org/ where we can leverage globally unique identifiers, generally referred to as Digital Object Identifiers (DOIs).

Rights over your Data and Information

You may choose for any data and personal information you have provided to be removed from our database according to your right to be forgotten/erasure rights.


By registering as a member of the Data Sharing Group:

1. You agree to keep data secure and not to share any data with third parties without permission from the database manager.

2. You agree that you will only provide data that you have authorisation over.

3. You agree that any novel outputs generated using data from the LSF database will be fully acknowledged in consultation with the database manager.

Explore Data Resources

Likely Suspect Framework for Atlantic Salmon: a review of current research project activity

We are conducting a review of current and planned Atlantic salmon research activity to provide focus and identify knowledge gaps. We would be extremely grateful if you could complete and submit this form to ensure that your work is included in this process.

Project Detail (* required fields)

Contact Details

Project Timeline

Start Year and Month
End Year and Month

Atlantic Salmon Likely Suspects Themes and Mortality Focus

Newly Submitted Projects