Frances Madden

ORCID: 0000-0002-5432-6116
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About
Contact & Profiles
Research Areas
  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Semantic Web and Ontologies
  • Library Science and Information Systems
  • Distributed and Parallel Computing Systems
  • scientometrics and bibliometrics research
  • Higher Education Learning Practices
  • Biomedical Text Mining and Ontologies
  • Membrane Separation and Gas Transport
  • Latin American history and culture
  • Reservoir Engineering and Simulation Methods
  • Nuclear and radioactivity studies
  • ICT in Developing Communities
  • Spacecraft and Cryogenic Technologies
  • Artificial Intelligence in Healthcare
  • Algorithms and Data Compression
  • Graphite, nuclear technology, radiation studies
  • Big Data and Business Intelligence
  • Open Education and E-Learning
  • Digital Humanities and Scholarship
  • Environmental Monitoring and Data Management
  • Renaissance and Early Modern Studies

Technological University Dublin
2023

British Library
2019-2022

We present an information resource prototype that was developed by the FREYA project for integration of a national e-thesis service and institutional repositories supported large laboratory. The allows us to mutually enrich metadata in with new entities attributes, can offer novel ways reasoning over research outcomes are direct funding funding-in-kind facilities. integrated be presented as labeled-property graph its exploration declarative query language visualizations. emphasize role...

10.3390/publications8020020 article EN cc-by Publications 2020-04-09

The main focus of this deliverable is the different approaches to provenance as understood, expressed, and implemented by FREYA disciplinary partners in their various pilot applications. presentations here outline general particular research context each organisation, current future implementations, describe activities that are supported persistent identifiers.

10.5281/zenodo.3249833 article EN 2019-05-31

This interim report describes the approach taken to creating training materials in FREYA project and provides an overview of created links them. Up this point team has migrated update Knowledge Hub a new location on pidforum.org. also collaborated with wide range stakeholders, including other European projects, broaden reach co-organise events which appeal broader audience, co-organising several joint guide personal identifiers. The discusses successes challenges encountered thus far. In...

10.5281/zenodo.3462141 article EN 2019-08-31

This document TrainingInTheEOSC_WorkshopReport_01_00.pdf is the output of a three-day workshop on Training in EOSC, 26-28 February 2020, The Hague, Netherlands. was organised by DANS collaboration with EUDAT, EGI and OpenAIRE. It provides recommendations regarding Rules Participation for training as well practical guidance service providers.

10.5281/zenodo.3894370 article EN 2020-04-03

As part of the European Commission funded FREYA project The British Library wanted to explore possibility developing provenance information in datasets derived from Library’s collections, data.bl.uk collection. Provenance is defined this context as ‘information relating origin, source and curation datasets’. also identified within FAIR principles an important aspect being able reuse understand research datasets. According principles, aim how cite acknowledge dataset well understanding...

10.2218/ijdc.v15i1.702 article EN cc-by International Journal of Digital Curation 2020-12-31

This deliverable reports on services and pilots developed by the disciplinary partners in FREYA as a way of demonstrating how PID Graph concept can be integrated into research community workflows. is final Work Package 4 such it presents progress state pilot applications, summarizes lessons learned potential future plans for work.

10.5281/zenodo.4415414 article EN 2020-11-30

This deliverable demonstrates how the various partners in FREYA are taking up persistent identifiers for organizations as part of Work Package 4 work on integrating emerging PID types into disciplinary contexts. A range organization IDs discussed with special focus ROR ID a community-led initiative open infrastructure and data that is well suited use an science environment.

10.5281/zenodo.3666255 article EN 2020-01-13
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