Collaborative projects

ARC's research technology professionals have worked on many research projects over the years. This page lists some of our portfolio.

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鈥嬧赌嬧赌�Generic Tooling

Research Software Dashboard

This is a 香港六合彩中特网-wide integrated web-based environment for 香港六合彩中特网 researchers to manage, share and promote their software research outputs. The dashboard consists of an automated online list of all the software created and maintained by 香港六合彩中特网 researchers. It allows 香港六合彩中特网 to promote and measure the quantity and quality of 香港六合彩中特网 computational research, raising the institution's profile in this space, and facilitating both obtaining and delivering research grants with a significant software component.

PI:听Paul Ayris, Library Services
Funding: 香港六合彩中特网
ARC team: Jonathan Cooper, Helen Sherwood-Taylor, Gary Macindoe, Ben Laken, Roland Guichard, Asif Tamuri, Amanda Ho-Lyn
Duration: Feb 2015 - ongoing
Languages and Technologies: Python, Django
Links:

XNAT - Medical Imaging Support

Our medical imaging research software group (MIRSG), a subgroup run jointly with Prof Geoff Parker in CMIC, aims to help the medical imaging community develop and maintain high-quality software as well as provide solutions for the storage and curation of data. The key听activity is the development, deployment, and maintenance of the 香港六合彩中特网 XNAT Service.

PI:听Eric de Silva, Danny Alexander, Folkert Asselbergs, Geoff Parker
Funding:听BRC seed funding; now a cost-recovered service
ARC team:听Dan Mathews, Haroon Chughtai
Duration:听Oct 2019 - Ongoing
Languages and Technologies:听XNAT

Digital Pathology & Microscopy

Establishing a data storage service for histopathology data using OMERO, an open source package developed by the Open Microscopy Environment.

PI:听Geoff Parker
Funding: 香港六合彩中特网 seed funding; now a cost-recovered service
ARC team:听Daniel Mathews
Duration: Aug 2021听- Jul 2022

Experimental Medicine Applications Platform (EMAP)

This project with 香港六合彩中特网H builds on our long-standing collaboration for the Health Informatics Collaborative. EMAP is a translational data science platform built in and for the NHS and has been specifically created to support research. Today, the typical way for a researcher to access hospital data is to extract it from the hospital into the outside world. This introduces privacy risks, as the data leave the protected environment of the NHS. EMAP reverses this process. By providing a software environment within the hospital, we enable research to happen inside the NHS, so that patient data never have to leave. EMAP has been developed as a non-operational 鈥渕irror鈥� of a subset of 香港六合彩中特网H data (historical and live). The underpinning aim is to ensure that no clinical data are corrupted or destroyed during the interaction between the research process and the hospital鈥檚 systems and that the systems are not compromised (for instance, if they were interrupted or slowed down by research enquiries).

PI: Mark White, 香港六合彩中特网H
Funding: 香港六合彩中特网H Charity and NIHR BRC
ARC team: Sarah Keating, Jonathan Cooper, Roma Klapaukh, Jeremy Stein, Stef Piatek, Steve Roderick, Harvey Mannering, Anika Cawthorn
Duration: Apr 2018 - ongoing
Languages and Technologies: Java, R, Python, Docker
Links:

Current Projects

HIV Modelling

This project aims to maintain and expand a model of HIV in Sub-Saharan Africa. The model covers the transmission, effects, and management of HIV under different assumptions and policy interventions. 香港六合彩中特网's role is mainly to make it simpler to modify the model and verify its outputs. As part of this, the ARC team is rewriting it into Python, which will make contributions to it easier.

PI:听Andrew Phillips
Funding:听
ARC team:听Anastasis Georgoulas,听Michael Mcleod, Peter Schmidt听
Duration:听Mar 2020 - Sep 2023
Languages and Technologies:听SAS, Python, pandas听

Oracc continuation

We are continuing to support the Open Richly Annotated Cuneiform Corpus by developing tools for scholars around the world. Among other things, we are developing a new user-friendly environment for working with digital records of cuneiform texts, which will automate many of the tasks involved. We are also expanding the capabilities of the ORACC website, making it easier to search through the vast collection of information it contains, for both researchers and interested members of the public.

PI:听Eleanor Robson
Funding:听Donation
ARC team:听Anastasis Georgoulas,听Mose Giordano, James Hughes, Rachel Alcraft
Duration:听May 2021 - May 2031

Silver Lab - NeuroData Without Borders

Building on previous collaborations with the Silver Lab, we continued our work on automatically converting experimental measurements and metadata to the NWB2 format. This new standard offers increased portability and interoperability for the lab's acousto-optic lens microscopy data. This phase included handling more complex geometries, to properly describe the results of the lab's arboreal functional imaging, as well as more detailed timing information captured by the new microscope setup.

PI:听Angus Silver
Funding:听NIH
ARC team:听Anastasis Georgoulas,听Jonathan Cooper, Alessandro Felder
Duration:听Sep 2019听- Mar 2025
Languages and Technologies:听Python, MATLAB, HDF5

Deep Time

A web application where users can view events that have occurred throughout all of (geological) time.

PI:听Pieter Vermeesch
Funding:听Existing Grant
ARC team:听James Hughes, Amanda Ho-Lyn, Tim Band听
Duration:听Apr 2022听- Jul听2022

Stewardship of AntiMicrobials Using Real-Time Artificial Intelligence

Supporting the infrastructure creation for a prediction pipeline inside 香港六合彩中特网H, ensuring data governance and documentation to scale with requirements for the development of a medical device.

PI:听Laura Shallcross and Peter Dutey
Funding:听NIHR听
ARC team:听Anika Cawthorn听
Duration:听Dec 2020听- Sep听2022

Disease Atlas

Assisting with the transferral of DOME initiative work into the 香港六合彩中特网H environment. This includes ensuring data access as well as enabling researchers to run code.

PI:听Harry Hemmingway and Spiros Denaxas
Funding:听BRC听
ARC team: Asif Tamuri, Anika Cawthorn,听Nel Swanepoel, Tom Young, Sarah Jaffa听
Duration:听Nov 2021听- Nov 2022

EPPI-Reviewer Covid Evidence Base Classification

As part of a funded research project for the Dept of Health & Social Care, IoE is maintaining a constant 鈥榮urveillance鈥� of the COVID evidence base. We are developing machine learning models for text classification and flowchart detection.

PI:听James Thomas
Funding:听
ARC team:听Sanaz Jabbari, Orod Razeghi, Emily Dubrovska
Duration:听Oct 2021听- Dec 2022
Languages and Technologies:听Python,听Azure, Deep Learning, BERT, Graph Neural Networks, Transformers

听Using ML to Identify Questions in Longitudinal Studies

We currently hold one of the premier metadata repositories in social science for longitudinal data (discovery.closer.ac.uk). This rich metadata resource enables researchers to identify at granular level information on the provenance of the UK's leading longitudinal studies in social science but also biomedical studies.

PI:听Jon Johnson
Funding:听DiRAC & ESRC
ARC team:听Sanaz Jabbari, Harry Moss, Idil Ozdemir
Duration:听Feb 2021听- Dec 2022听

Neotree

Over 9,000 babies die each day in low-resource settings. An estimated 70% of these deaths are preventable through evidence-based guidelines and low-cost interventions. Neotree is a digital learning health care system for newborn care in low-resource settings. The aim is to build听on a seven-year, multi-disciplinary research project to co-develop and implement a digital data capture and quality improvement system for newborn care called the Neotree, the current phase of work aims to optimise our modelling strategy for predicting neonatal sepsis from routine healthcare data.

PI:听Michelle Heys
Funding:听Internal 香港六合彩中特网
ARC team:听Sanaz Jabbari, Ed Lowther听
Duration:听Jan 2021听- Jul 2022

XNAT: International Alliance for Cancer Early Detection (ACED)

Data storage using XNAT for ACED.

PI:听Danny Alexander
Funding:听CRUK
ARC team:听Daniel Mathews, Haroon Chughtai
Duration:听Nov 2020听- Feb 2024

ExCALIBUR H&ES: HPC Hardware Piloting Service & Benchmarking

With our colleagues in RITS Research Computing and 香港六合彩中特网 Computer Science, we are running the Interconnect Demonstrator for the UK exascale computing initiative. We will measure the impacts of a variety of in-network technologies 鈥� doing computation at the switch level and looking at the possibility of using acceleration on the network adaptor to off-load some of the work of the host machine. The focus of RSDG's work will be developing benchmarking and profiling approaches to understand how best to understand application performance and write effective research software for new exascale systems, in a co-design process with the hardware developments.

PI:听Jeremy Yates
Funding:听DiRAC, STFC, RCNIC,听ExCALIBUR
ARC team:听Mose Giordano, Tuomas Koskela
Duration:听Nov 2020听- Feb 2024
Languages and Technologies:听Julia, Fortran, C++,听ARMforge

Data Infrastructure Capacity For EOSC (DICE)

The DICE project is a multi-institutional EU-funded project which aims to enable a European storage and data management infrastructure for EOSC, providing generic services and building blocks to store, find, access and process data in a consistent and persistent way.

香港六合彩中特网鈥檚 involvement in the project includes the installation and configuration of two EUDAT services (B2Safe and B2Find). These will be used to transfer and share large volumes of data from partner institutions (including the Barcelona SuperComputing Centre) in order to support the CompBioMed2 project. We will evaluate the benefits of EUDAT tools as future components of 香港六合彩中特网鈥檚 suite of research data services, and our work will help inform EUDAT鈥檚 future development, enabling it to better serve the needs of large multi-disciplinary research institutions.

PI:听James Wilson
Funding:听EC H2020
Duration:听Jan 2021听- Jun听2023

Genomic Medicine Service Alliance

This project is with Great Ormond Street Hospital (GOSH), which leads the North Thames Genomic Medicine Service Alliance (GMSA). The project is part of an overall suite of work to store patients' genomic reports in an interoperability standard for healthcare:听. Our involvement is to help with the existing data modelling work already done at GOSH to produce a front-end web application to enable input of genomic report information and transformation of the FHIR data model, persisting the data using a hospital FHIR API. Alongside this, using best practices in software development to ensure that the FHIR data model definition is well robust and that validation that other sources of FHIR data adhere to this model.

PI:听Elias Zapantis
Funding:听香港六合彩中特网Partners, NHS
ARC team:听Stefan Piatek, James Hughes
Duration:听Apr 2022听- Oct 2022
Languages and Technologies:听TypeScript, JavaScript,听React, FHIR

Health Data Research UK - London Hub

Health Data Research UK is the national institute for data science for health, which was established in 2018 with long-term funding support from research councils, UKRI, and charitable and governmental research funders. The HDR UK seeks to drive improvements in the health of patients and populations through research at regional and national scales. The triple mission of HDR UK spans the discovery of disease mechanisms in science through precision medicine and trials for public health; establishing platforms and the underlying infrastructure to enable research at a national scale; developing training and capacity opportunities. As part of the HDR London Hub, ARC recruited a Health Data Specialist to support researchers in making the most effective use possible of resources available at 香港六合彩中特网 and elsewhere, such as the听Data Safe Haven. Particularly we are looking at scaling up analyses to deal with massive volumes of highly sensitive personal data, e.g. gathered during routine health care.

PI:听Harry Hemingway
Funding:听HDR UK
ARC team:听Nel Swanepoel, Anika Cawthorn, Haroon Chughtai, Jonathan Cooper
Duration:听Aug 2018听- Mar 2023

SUMMIT Data Repository

The SUMMIT clinical trial is the largest lung screening programm in the UK. ARC oversaw the development of an in-house blood samples management app which has significantly reduced the administrative overhead in receiving, cross-checking, and automatically validating reports from the multiple clinical centres involved in the trial. We are hosting this app on听Cloud@香港六合彩中特网听and assist the data manager with updates as needed. ARC also manages imaging data for the trial researchers on our听XNAT platform and advised the team on best practices in this area.听

PI:听John McCabe
Funding:听Pharma Company
ARC team:听Jonathan Cooper, Nel Swanepoel, Haroon Chughtai
Duration:听Apr 2020 - Jan 2025

Manolis Mavrikis & EdTech Opportunities

The purpose of this project is to consolidate use cases and technical requirements for applications requested by researchers and teams at the Institute of Education. There is a sense that requests for software solutions can be grouped into categories with the aim of avoiding repetitive effort and/or 鈥渞einventing the wheel鈥�.

PI:听Manolis Mavrikis
Funding:听Internal 香港六合彩中特网
ARC team:听Peter Schmidt
Duration:听Jun 2022听- Sep 2022

QNICE - Quantitative Neuroradiology Initiative Central Engine

The Quantitative Neuroradiology Initiative (QNI) is a collaboration between researchers in the Neuroradiological Academic Unit and the 香港六合彩中特网 Centre for Medical Image Computing to rapidly translate innovative computing solutions into practical clinical tools deployed in NHS imaging departments. The project aims to automatically derive robust, objective markers of disease from clinical neuro-images and integrate these measurements back into the clinical workflow for patient management, changing the paradigm for image-based diagnosis, follow-up, and treatment.

Our work is to develop a central management engine that will control the automated analysis of a 3D MR scan. The engine will determine the appropriate analysis pathway based on the DICOM metadata from the scan series, run a Dockerised version of the analysis algorithm, pick up the report produced and convert it to a DICOM-encapsulated PDF which can then be returned to PACS for clinicians to view. The system must be adaptable to different kinds of analyses, and future applications to a range of diseases.

PI:听听John Thornton
Funding: Wellcome Trust, NIHR
ARC team:听Peter Schmidt, Daniel Mathews
Duration:听Feb 2022听- Feb 2023

Understanding Mutations Through Protein Structure

A pan-tissue analysis of the somatic mutations observed in aging, using DNA sequence data from human samples. The effects of each mutation on protein structure stability will be estimated computationally.

PI:听Ben Hall
Funding:听Royal Society
ARC team:听Robert Vickerstaff, Asif Tamuri, Rachel Alcraft
Duration:听Mar 2022听- Mar 2023

Learned Exascale Computation Imaging (LEXCI)

Maintenance and developing of TensorFlow interface to astrophysics imaging codes.

PI:听Jason McEwen
Funding: EPSRC
ARC team: Tuomas Koskela, Sarah Jaffa
Duration: Aug 2021 - Aug 2024

OMOP Pipeline听

This project involved working with the OHDSI tools () to enable applying them to an OMOP database. It also involved some work on the OMOP extract tools being developed at 香港六合彩中特网H, namely the development of a Mock Caboodle testing database and a Validation Module for the package.

PI:听Tim Roberts,听Wai Keong Wong
Funding:听香港六合彩中特网H BRC
ARC team:听Stefan Piatek, Sarah Keating
Duration:听Feb 2022听- Jul 2022
Languages and Technologies: R

CHIMERA: Collaborative Healthcare Innovation through Mathematics, EngineeRing and AI

This is a large healthcare project involving many aspects. Our current involvement is the design our a secure pipeline for collecting and anonymising data and transferring it from the partner hospitals to the Data Safe Haven.

PI:听Becky Shipley
Funding:听EPSRC
ARC team:听Sarah Keating,听Stefan Piatek
Duration:听Aug 2021听- Jul 2024

XNAT:听CCP in Synergistic Reconstruction for Biomedical Imaging

Biomedical imaging increasingly involves multiple modalities and/or imaging time points. Advances in instrumentation open up the exciting potential for synergistic imaging. This EPSRC-funded collaborative computational project (CCP) aims to bring together the best of the UK's and international image reconstruction expertise to make this potential a reality. CCP SyneRBI (Synergistic Reconstruction for Biomedical Imaging) is the successor of CCP PETMR, extending the scope to other multi-modal biomedical imaging systems, concentrating on SPECT, PET, and MR reconstruction, but including PET/CT and SPECT/CT systems. RITS' Medical Imaging Research Software Group, part of RSDG, will be providing the data management and analysis platform for the project.

PI:听听Kris Thielemans
Funding:听EPSRC
ARC team:听Daniel Mathews
Duration:听Apr 2020听- Apr 2025
Languages and Technologies:听XNAT

XNAT: Second European Carotid Surgery Trial (ECST-2)

Data storage and support using XNAT to support an international multisite study.

PI:听听Martin Brown
Funding:听Departmental Discretionary Funds
ARC team: Haroon Chughtai
Duration:听Aug 2020听- Jul 2025

Past Projects

UKRI-DiRAC Federation Project

Benchmark ML/AI: Benchmark neuroscience python code developed by 香港六合彩中特网 group. Different from SciML, as it's multinode, so the whole code has to scale, not just the (single-node) components. How different will that be/scale from other multinode codes? Probably not, interesting to find out. The group has benchmark and will work with us to study performance.

PI:听Jeremy Yates and Mark Wilkinson
Funding:听STFC
ARC team:听Ilektra Christidi, Jonathan Cooper, Krishnakumar-Gopalakrishnan, Sanaz Jabbari, Tom Couch, Tuomas Koskela, Tom Young
Duration:听Jan 2021听- Jun 2022听

SBML/COMBINE Library Support, "CompBioLibs"

SBML (the Systems Biology Markup Language) is a standard format that facilitates the reuse and exchange of unambiguous models in the field of computational biology. This grant provided the seed funding to ensure the long-term sustainability of libSBML (a parsing, validation, and manipulation/conversion library for SBML) and Deviser (a code generation tool), with the goal of being able to expand this to other computational biology standards libraries. Establishing a base within a permanent RSE (Research Software Engineering) group will allow expertise to be shared and thus retained within the institute.

The libSBML code base was reorganized to make community contribution easier, and the build process was established using GitHub Actions. In addition, a separate XML parsing layer allowing access to one or more of the three most popular XML parsing libraries was created by separating it from existing libSBML code. Deviser was extended to use this layer to allow easy generation of API libraries for other XML-based standards.

PI:听Sarah Keating
Funding:听CZI
ARC team:听Sarah Keating, Alessandro Felder, Orod Razeghi, Matthew Gillman
Duration:听Sep 2020听- Aug 2021
Languages and Technologies:听C, C++, C#, Java, Javascript, MATLAB, Perl, PHP, Python, R, Ruby

Geometrically Unfitted FEM

We worked on updating the CutFEM library to work with newer versions of the popular FEniCS library for solving partial differential equations.

PI:听Erik Burman
Funding:听听EP/P01576X/1
ARC team:听David Perez Suarez,听Anastasis Georgoulas
Duration:听Nov 2020听- Oct 2020
Languages and Technologies:听C++, Python,听pybind11

Parallelize TROVE

TROVE is a Fortran codebase for nuclear motion calculations. Funded by DiRAC, we updated the codebase, integrated different versions, added tests, and standardised the process of building and running the code. We also investigated the performance of TROVE on new DiRAC HPC platforms.

PI:听Sergey Yurchenko, Jonathan Tennyson
Funding:听听DiRAC
ARC team:听听Anastasis Georgoulas, Jamie J Quinn, Sarah Jaffa
Duration:听Jan 2021听- Dec听2021
Languages and Technologies:听Fortran, MPI

Precision UTI

Providing code reviews and general advice for a SNOMED CT server API for R.

PI:听Laura Shallcross,听Peter Dutey
Funding:听听PrecisionAMR
ARC team:听Anika Cawthorn
Duration:听Nov 2021听- May听2022

Data Analysis for Fluorescence Lifetime Microscopy

Project aims:

Development of segmentation tools and Jupyter notebooks for the analysis of exosome fluorescence lifetime microscopy data.
Extending functionality of an ImageJ/FIJI plugin for analysis of fluorescence lifetime microscopy data.

PI:听Paul Barber
Funding:听听CRUK
ARC team:听Daniel Mathews, Patrick Roddy

XNAT: Mirror of NHSx NCCID

听Creation of a mirror of the National COVID-19 Chest Imaging Database (NCCID) on an XNAT server hosted by the department of Computer Science at 香港六合彩中特网 and by Microsoft through the use of Azure. The intention is to give researchers at 香港六合彩中特网 (mainly CMIC) access to the national database.

PI:听Joe Jacob
Funding:听Microsoft
ARC team:听Daniel Mathews, Haroon Chughtai
Duration:听Mar 2021听- Mar 2022

XNAT: Hosting of PHOSP-COVID Data

Technical support and data storage of Post-hospitalisation COVID-19 (PHOSP-COVID) study from NCIMI, Oxford to 香港六合彩中特网 for analysis.

PI:听Joe Jacob
Funding:听Wellcome Trust
ARC team:听Daniel Mathews
Duration:听Mar 2021听- Mar 2022

Napari Plugins

This project involves writing a napari plugin that enables users to run the cell-tracking software BayesianTracker from the napari GUI. It also involves further improvements to Arboretum, a napari plugin to visualise cell lineage trees.

PI:听Alan Lowe
Funding:听CZI听
ARC team:听David Stansby, Alessandro Felder, David Perez Suarez
Duration:听Jan 2022听- Jun听2022
Languages and Technologies: C++, Napari

Coast Erosion - Geography Citizen Science Data Collection app

Using data gathered by a dedicated team of citizen scientists, we created a web app to visualist the effect of coast erosion and storms on the shoreline at Bawdsey Beach.

PI:听Helene Burningham
Funding:听Internal 香港六合彩中特网听
ARC team:听David Perez Suarez, Sarah Jaffa
Duration:听Jun 2021听- Apr 2022

Social Contagion of Violence听

This project鈥檚 focus is the prevention of serious violence, and in particular interrupting the spread of violence across social networks. Evidence from the US shows that violence exhibits contagion-like properties, whereby violent incidents trigger follow-up violent victimisations among the social contacts of the original victim. Our aim is to establish whether violence in the UK displays similar patterns of contagion, in the hope of bolstering a move towards a public-health approach to violent crime, which takes a population-level perspective and seeks to identify upstream opportunities for prevention.

PI:听Toby Davies
Funding:听Home Office听
ARC team:听Ed Lowther
Duration:听Feb 2022听- Jun 2022

Next Generation Trusted Research Environments

A collaboration with the Turing Institute and the University of Cambridge aims to assess the readiness of a Turing-developed Information Governance app for deployment by other research organisations to support their data management policies and Trusted Research Environment infrastructure. The current phase of this project combines technical work, user testing, and developing an understanding of the existing information governance processes and needs at the three collaborating institutions, with the ultimate aim of releasing an open-source version of the app.

PI:听James Hetherington
Funding:听Turing Institute听
ARC team:听Ed Lowther,听James Hetherington, Nel Swanepoel, Tom Couch
Duration:听Oct 2021听- Jul 2022

Hospital Onset Covid-19 Infection (HOCI)

This project continued the work started during the COVID-19 pandemic by听, which provided modeling prediction of hospital-aquired COVID-19 infection. The COG-UK-HOCI study required patient demographic information, infection status, admission, and location information within the hospital - which was prohibitively time-consuming. This work automated the collection and linking of patient data with Sarc-CoV-2 sequencing within 香港六合彩中特网H. The final result was a system that was able to run without manual patient data collection, resulting in a report of the likelihood of hospital-acquired COVID-19 infection.听This proof of principle is being used to apply for a clinical trial that will model the spread of multiple respiratory viruses in multiple NHS hospitals.

PI:听Judith Breuer
Funding:听NIHR
ARC team:听Stefan Piatek, James Hughes, Steve Roderick
Duration:听Sep 2021听- Mar听2022
Languages and Technologies:听Java,听Spring, Hibernate

PrecisionAMR

The aim is to bring together Next-Gen Sequencing (NGS) and patient data from Electronic Health Records (EHRs) to diagnose antimicrobial resistance and track its spread around the hospital (香港六合彩中特网H, also GOSH though we won't be involved in that part particularly). They hope to employ 2 bioinformaticians as well as have support from us.

PI:听Judith Breuer
Funding:听NIHR
ARC team:听Stefan Piatek
Duration:听Aug 2020听- Nov 2021

A Brain Atlas

The objective of the BrainAtlas project is to use a web-based application to navigate the human brain and visualise anatomical details. The team plans to use this tool in a teaching environment. The underlying data are based on MRI and histology image sequences from 5 patients. The team developed the app using the React framework and the web app is available through GitHub pages on .

PI:听Eugenio Iglesias Gonz谩lez
Funding:听EC Horizon 2020
ARC team:听Peter Schmidt,听James Hughes
Duration:听Jan 2021听- Jan听2022

Real-time Advanced Data Assimilation for Digital Simulation of Numerical Twins on HPC / RADDISH

Improving interfaces and growing the user base of the software developed in RADDISH.

PI:听Serge Guillas
Funding:听ATI
ARC team:听Tuomas Koskela,听Mos猫 Giordano
Duration:听Jul 2021听- Apr听2022
Languages and Technologies:听Julia,听Github Actions, MPI, HDF5

Improve CeMMAP Statistical Software

Removing proprietary tools from econometrics optimisation software and providing a user interface from R.

PI:听Lars Nesheim
Funding:听ESRC via the IFS
ARC team:听Tuomas Koskela
Duration:听Apr 2021听- Aug 2021

Oracc

The Open Richly Annotated Cuneiform Corpus (Oracc) supports the editing of translations and transliterations of ancient Mesopotamian (Iraqi) texts. The principal aim of this project is to create a local GUI for Oracc.

PI:听Professor Eleanor Robson
Funding:听香港六合彩中特网
ARC team:听Raquel Alegre, Stuart Grieve, James Hetherington, Jens Nielsen, Benjamin Laken
Duration:听2014 - 2017
Languages and Technologies:听PLY,听Jython,听Swing,听Maven,听SOAP/WSDL

DataSpring: Enabling complex analysis of large-scale digital collections

Funded through the JISC "" initiative, this project seeks to make it possible to efficiently query a corpus of 81000 out-of-copyright books using 香港六合彩中特网's research computing infrastructure and to thereby understand the issues that arise in using traditional HPC resources for humanities work.

PI:听Professor Melissa Terras
Funding:听
ARC team:听James Hetherington
Duration:听Apr-Jun 2015
Languages and Technologies:听Python, libxml, zip, mpi4py
Links:听

Times Digital Archive queries

We did some initial investigation into using Spark on 香港六合彩中特网 supercomputers to query large newspaper archives for terms of interest, accounting for mis-spellings, OCR failures, etc.

PI:听Peter Guillery, Melissa Terras
ARC team:听Raquel Alegre,听Roma Klapaukh
Duration:听2017
Languages and Technologies:听PySpark