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A way to import records in bulk from OpenAlex snapshots

An automated pipeline which searches for, assesses relevance of, and tags with taxonomy terms climate & health literature

A classifier which predicts whether a title & abstract are relevant to the domain of Climate & Health

A process which will predict tags from the DESTINY taxonomy which describe a title and abstract

A way to retrieve and mine closed-access abstracts for inclusion within repository search, classification and evaluation

An administration interface which allows the configuration of the component parts of a community and its repositories (annotations, automations, taxonomies)

A developed core ontology which supports the basic elements of evidence synthesis

Bespoke importers which allow bibliographic, taxonomic, and extraction data to be imported to the repository as “raw” enhancements

A highly accurate, tested deduplication algorithm packaged as a python library for integration into robots and the repository

Deprecating the initial Demonstrator UI delivered in 2025 in favour of the user interface components built more recently

Allows the dynamic filtering of search results using taxonomy tags

Access control which limits a user’s ability to interact with resources from other communities

Import of data from external sources (including OpenAlex, extracted data, bibliographic data)

Daily updates to the repository based on new records in OpenAlex

Records are automatically deduplicated across the entire repository on import. Deduplication is non-destructive.

A software development kit which makes it easier to build against the repository infrastructure

Classifier which determines whether a reference is relevant to the “Climate & Health” domain based on title and abstract

A robot which integrates the relevance classifier with the repository using the robots protocol

A way for users to upload relevant full texts not fetched by automated processes for analysis

DEET, the data extraction evaluation toolkit, can use taxonomy/vocabulary hierarchical structure to optimise prompts for large taxonomy extraction

DEET, the data extraction evaluation toolkit will have a web UI that allows users to build and evaluate automated data extraction pipelines interactively

DEET, the Data Extraction Evaluation Toolkit can be used to classify documents using LLMs, and to evaluate how well LLMs can classify documents. Classification is useful for screening, or coding study themes

DEET, the Data Extraction Evaluation Toolkit can be used to extract attributes of interest from published research documents using LLMs, and to evaluate how well LLMs can extract data. Data extraction is required for analysis of evidence

DEET, the data extraction evaluation toolkit, will provide users with the means to test, develop and evaluate automated approaches to extracting subgroup- and treatment-level data from intervention studies

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A robot which fetches full texts and abstracts from additional databases to supplement those gathered from OpenAlex

The ability to deploy a single robot whose behaviour can be determined by parameters supplied in the enhancement request

A robot which annotates references with mentioned geographic entities using the mordecai3 model.

The ability to import results from a search in another database as bibliographic metadata into the repository, marking these as in-scope for a particular community.

A process which will fetch as many full texts as are available given publisher constraints given a user’s credentials

Fetch enhancements associated with references

Integration of enhancing processes to classify/enrich references in the repository

Ensure that the storage of enhancements can scale effectively across multiple communities without limiting the ability for communities to experiment.

Easy import of data from EPPI reviewer which is aligned with a supported taxonomy

Model for determining whether a reference is relevant to policy-makers in Cameroon

A robot which implements the transferability model as part of the repository ecosystem

Backend functionality that supports: a) agentic decomposition and transformation of a plain-language user query into a search (free-text, taxonomy, snowballing); b) agentic execution of search(es), formulation of screening criteria, and screening of search results; c) mapping of search results against either agentically derived or taxonomy terminology

Natural language system & interface to allow users to navigate the mapping and faceted search interfaces

An interface over the repository which allows boolean search over titles and abstracts, with short summaries of results shown in a paginated interface

A machine interface which presents published vocabularies for use in UIs, repository storage, and robots

A rich display of the enhanced data of a result, including taxonomy tagging and extracted data

Keyword search and annotation filtering of references within the repository (including segmenting by sub-repository/domain)

Tools for building simple OWL ontologies and SKOS taxonomies to form a vocabulary which defines linked data within the repository. Also includes an MCP to allow LLM assisted vocabulary construction

An interface to present SKOS taxonomies to users and solicit feedback on them