With expertise in data integration, quality control, and metadata management, I can help turn raw data into valuable insights and actionable information.

Bringing FAIR data and curation expertise to the Data Office of AstraZeneca’s Data Science & AI division. Responsible for:- creating enterprise-wide biomedical controlled vocabularies- improving efficiency and quality of existing data management and governance processes- designing and implementing new data management workflows, standards and controls to ensure data quality- upskilling non-data management colleagues by designing the curriculum for an in-house data curation digital training course- leading a community of practice on curation to help socialise and embed the cultural change required to meet the organisation's FAIR data ambitions

Supporting the UK Health Data Research Alliance and Data & Connectivity National Core Study team, and contributing to the delivery of HDR UK's complex data access project. Responsible for driving the development and improvement of the Innovation Gateway data access module, alongside increasing adoption of Gateway services by data custodians. Responsible for communicating with technical and non-technical teams, both internally and externally.

Responsible for leading and developing research data curation services for multiple products, including Springer Nature's Research Data Support services (https://researchdata.springernature.com).Managed the team of curators delivering Research Data Support services.Managed the list of recommended data repositories for Scientific Data (http://www.nature.com/sdata/data-policies/repositories), and Springer Nature (https://www.springernature.com/gp/authors/research-data-policy/repositories/12327124).Contributed to the development and delivery of Nature Research Academies training workshops on research data sharing and management.

As Data Curation Editor I was primarily responsible for editing and creating the metadata files associated with articles published at the open access data journal Scientific Data. The metadata files were created in the ISA-tab format, developed by the ISA tools group (http://www.isa-tools.org/). I was responsible for creating consistent and scalable curation workflows in collaboration with relevant members of specific scientific communities, in order to ensure that the most appropriate metadata was captured for the published data from each community. I also carried out a more traditional editorial role; overseeing the editorial and peer review process for manuscript submissions, commissioning article collections and contributing to the journal's development.------Notable highlights during this time are:The FANTOM5 collection (https://www.nature.com/collections/jcxddjndxy)The Open research data resources collection (https://www.nature.com/collections/cgdtjtbpjn)'Open data, open curation' Editorial (https://www.nature.com/articles/sdata2018204)'What’s in a name?' Editorial (https://www.nature.com/articles/sdata201892)

I was responsible for establishing workflows to facilitate the publishing of data heavy F1000Research articles. I initiated the first publishing workflow for minting DOIs (via Zenodo) for GitHub hosted code (http://tinyurl.com/Zenodo-GitHub). This editorial workflow was a forerunner to the API allowing GitHub users to mint DOIs for their own code (https://guides.github.com/activities/citable-code/).I was also responsible for establishing collaborations with data repositories and other open science initiatives.

I co-organised this core module for students studying for an MSc in Genetics of Human Disease (www.ucl.ac.uk/ugi/education/mscgens). As well as planning the scope of the module, I gave lectures and led several computer-based practicals. Of the 7 lecturers who teach on this module, I was awarded the highest student approval ratings for the last two consecutive years.

This position was funded by the British Heart Foundation, and my role was to annotate Gene Ontology terms to human proteins involved in cardiovascular processes and disease. Please see http://www.ucl.ac.uk/cardiovasculargeneontology/ for more details on this project.

I played a key role in establishing the content and format of this highly regarded, twice yearly, 2-day workshop at University College London. The workshop aimed to introduce postdoctoral researchers and PhD students to key biological databases and high throughput expression analysis tools, such as Ingenuity and DAVID. An additional aim was to provide researchers with the opportunity to curate their own papers with Gene Ontology terms. For more information please see http://www.ucl.ac.uk/cardiovasculargeneontology/comm-involvement

The HUGO Gene Nomenclature Committee (HGNC) is tasked with assigning unique gene symbols and names to the human genome. During my time at the HGNC, the draft human genome sequence was being finished, and I very much enjoyed being part of the team that was responsible for naming novel genes on each chromosome in time for the subsequent publications. Working for the HGNC I had the opportunity to learn about basic bioinformatics tools, such as BLAST and ClustalW. Through this role, I also became very familiar with databases such as NCBI and UniProtKB. Another aspect of this role was contacting researchers to work out appropriate gene nomenclature systems for individual genes, as well as for gene families. One such collaboration resulted in a paper describing tubulin gene nomenclature.

My role was to maintain and update records on key drugs in the Investigational Drugs database (IDdb). The IDdb is now the Thomson Reuters Partnering Pipeline.