Abstract is: Susanna-Assunta Sansone is a British-Italian data scientist who is professor of data readiness at the University of Oxford where she leads the data readiness group and serves as associate director of the Oxford e-Research Centre. Her research investigates techniques for improving the interoperability, reproducibility and integrity of data.
| human | Q5 |
| P2456 | DBLP author ID | 71/5798 |
| P6178 | Dimensions author ID | 0635417117.92 |
| P8446 | Gateway to Research person ID | 649CD2DC-CB5D-4B4F-BAA0-CDE99742B6A7 |
| P2037 | GitHub username | SusannaSansone |
| P2671 | Google Knowledge Graph ID | /g/11c6yfsh87 |
| P1960 | Google Scholar author ID | gfJ8wsIAAAAJ |
| P345 | IMDb ID | nm9877400 |
| P213 | ISNI | 0000000135516013 |
| P6634 | LinkedIn personal profile ID | sasansone |
| P856 | official website | https://eng.ox.ac.uk/people/susanna-assunta-sansone/ |
| P496 | ORCID iD | 0000-0001-5306-5690 |
| P10897 | ORKG ID | R135862 |
| P1153 | Scopus author ID | 6603584690 |
| P10861 | Springer Nature person ID | 0635417117.92 |
| P2002 | X username | susannaasansone |
| P184 | doctoral advisor | Simon Kroll | Q106587228 |
| P69 | educated at | Imperial College London | Q189022 |
| P108 | employer | University of Oxford | Q34433 |
| European Bioinformatics Institute | Q1341845 | ||
| Oxford e-Research Centre | Q23808295 | ||
| P734 | family name | Sansone | Q18627572 |
| Sansone | Q18627572 | ||
| Sansone | Q18627572 | ||
| P2650 | interested in | FAIR data | Q29032648 |
| P106 | occupation | biologist | Q864503 |
| P21 | sex or gender | female | Q6581072 |
| P8687 | social media followers | 2736 |
| Q24550522 | 'Omics data sharing |
| Q54752407 | A design framework and exemplar metrics for FAIRness |
| Q55364532 | A design framework and exemplar metrics for FAIRness |
| Q28658729 | A sea of standards for omics data: sink or swim? |
| Q36562124 | A strategy capitalizing on synergies: the Reporting Structure for Biological Investigation (RSBI) working group |
| Q64077786 | Addendum: The FAIR Guiding Principles for scientific data management and stewardship |
| Q57002733 | Agenda of the “BioSharing workshop – Bringing catalogues of bio-resource and standards together” |
| Q54302110 | Agenda of the “BioSharing workshop – Unifying Bio-Resources Descriptors” |
| Q57002736 | Agenda of the “BioSharing workshop – Unifying Bio-Resources Descriptors” |
| Q30487482 | An open data ecosystem for cell migration research |
| Q42639845 | An open letter on microarray data from the MGED Society |
| Q31053277 | Annotation of environmental OMICS data: application to the transcriptomics domain |
| Q33385054 | ArrayExpress update--from an archive of functional genomics experiments to the atlas of gene expression |
| Q24794803 | ArrayExpress--a public repository for microarray gene expression data at the EBI |
| Q29616172 | ArrayExpress--a public repository for microarray gene expression data at the EBI |
| Q30890629 | ArrayExpress: a public database of gene expression data at EBI. |
| Q90857805 | Author Correction: Evaluating FAIR maturity through a scalable, automated, community-governed framework |
| Q27975958 | BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains |
| Q57008143 | BioSharing Overview |
| Q57278387 | BioSharing: Harnessing Metadata Standards For The Data Commons |
| Q31096974 | BioSharing: curated and crowd-sourced metadata standards, databases and data policies in the life sciences |
| Q96473059 | COVID-19 pandemic reveals the peril of ignoring metadata standards |
| Q28611417 | COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access |
| Q94585053 | Community standards for open cell migration data |
| Q124537163 | Community-driven governance of FAIRness assessment: an open issue, an open discussion |
| Q28729258 | Conceptualizing a Genomics Software Institute (GSI) |
| Q91711033 | Consent insufficient for data release-Response |
| Q33768634 | DATS, the data tag suite to enable discoverability of datasets |
| Q57271331 | DATS: the data tag suite to enable discoverability of datasets |
| Q46526558 | Data discovery with DATS: exemplar adoptions and lessons learned. |
| Q26776402 | Data standards can boost metabolomics research, and if there is a will, there is a way |
| Q27010370 | Data standards for Omics data: the basis of data sharing and reuse |
| Q49964227 | DataMed - an open source discovery index for finding biomedical datasets. |
| Q57271334 | DataMed: Finding useful data across multiple biomedical data repositories |
| Q24530174 | Database development in toxicogenomics: issues and efforts |
| Q57803404 | Databases and Standardisation of Reporting Methods for Metabolic Studies |
| Q53620480 | Defining best practice for microarray analyses in nutrigenomic studies. |
| Q38369152 | Developing a strategy for computational lab skills training through Software and Data Carpentry: Experiences from the ELIXIR Pilot action |
| Q36562135 | Development of FuGO: an ontology for functional genomics investigations |
| Q34383763 | Discovering and linking public omics data sets using the Omics Discovery Index. |
| Q30685254 | EBI metagenomics--a new resource for the analysis and archiving of metagenomic data |
| Q109550277 | ELIXIR and Toxicology: a community in development |
| Q28842711 | Empowering industrial research with shared biomedical vocabularies |
| Q90323183 | Enabling reusability of plant phenomic datasets with MIAPPE 1.1. |
| Q57012052 | Erratum to: COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access |
| Q38517878 | Establishing reporting standards for metabolomic and metabonomic studies: a call for participation |
| Q90197164 | Evaluating FAIR maturity through a scalable, automated, community-governed framework |
| Q56831363 | Evaluating FAIR-Compliance Through an Objective, Automated, Community-Governed Framework |
| Q91933068 | Experiment design driven FAIRification of omics data matrices, an exemplar |
| Q83958546 | FAIR Convergence Matrix: Optimizing the Reuse of Existing FAIR-Related Resources |
| Q76394974 | FAIR Principles: Interpretations and Implementation Considerations |
| Q91068895 | FAIRshake: Toolkit to Evaluate the FAIRness of Research Digital Resources |
| Q64084285 | FAIRsharing as a community approach to standards, repositories and policies |
| Q56982339 | FAIRsharing, a cohesive community approach to the growth in standards, repositories and policies |
| Q33332018 | Facilitating the development of controlled vocabularies for metabolomics technologies with text mining |
| Q36382190 | Finding useful data across multiple biomedical data repositories using DataMed. |
| Q51688188 | Foreword to the special issue on the Fifth Genomic Standards consortium workshop. |
| Q101552155 | Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group |
| Q28647341 | From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics |
| Q57278388 | From peer-reviewed to peer-reproduced: a role for data standards, models and computational workflows in scholarly publishing |
| Q57179904 | Genomic Standards Consortium Projects |
| Q28656339 | Genomic standards consortium projects |
| Q83958541 | Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data |
| Q53840902 | High-quality science requires high-quality open data infrastructure. |
| Q111149857 | ISA API: An open platform for interoperable life science experimental metadata |
| Q28749402 | ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level |
| Q29048137 | Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data |
| Q33037209 | Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data |
| Q56914013 | Interoperable and scalable data analysis with microservices: Applications in Metabolomics |
| Q62776588 | Interoperable and scalable data analysis with microservices: Applications in Metabolomics |
| Q64113894 | Interoperable and scalable data analysis with microservices: Applications in Metabolomics |
| Q121654535 | Machine actionable metadata models |
| Q106489073 | Mapping Subjects and Domains across the Humanities and Natural Sciences in FAIRsharing |
| Q31142305 | Measures for interoperability of phenotypic data: minimum information requirements and formatting |
| Q28743027 | Meeting Report from the Genomic Standards Consortium (GSC) Workshop 10 |
| Q28743008 | Meeting Report from the Second "Minimum Information for Biological and Biomedical Investigations" (MIBBI) workshop |
| Q34558976 | Meeting Report: "Metagenomics, Metadata and Meta-analysis" (M3) Workshop at the Pacific Symposium on Biocomputing 2010. |
| Q28743015 | Meeting Report: BioSharing at ISMB 2010 |
| Q28743033 | Meeting Report: Metagenomics, Metadata and MetaAnalysis (M3) at ISMB 2010 |
| Q80267118 | Meeting report: EU-US Workshop on Molecular Signatures of DNA Damage-Induced Stress Responses. Cortona, Italy, 26-30 September 2003 |
| Q24543955 | Meeting report: Validation of toxicogenomics-based test systems: ECVAM-ICCVAM/NICEATM considerations for regulatory use. |
| Q51685395 | Meeting report: the fifth Genomic Standards Consortium (GSC) workshop. |
| Q27818909 | MetaboLights--an open-access general-purpose repository for metabolomics studies and associated meta-data |
| Q28727284 | MetaboLights: towards a new COSMOS of metabolomics data management |
| Q57803438 | Metabolomics standards initiative: ontology working group work in progress |
| Q28652074 | Minimum information specification for in situ hybridization and immunohistochemistry experiments (MISFISHIE) |
| Q28651313 | Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach |
| Q28287823 | Modeling biomedical experimental processes with OBI |
| Q57000481 | Omics Discovery Index - Discovering and Linking Public Omics Datasets |
| Q28709056 | On the evolving portfolio of community-standards and data sharing policies: turning challenges into new opportunities |
| Q36603854 | OntoMaton: a bioportal powered ontology widget for Google Spreadsheets |
| Q54302118 | Overcoming the Ontology Enrichment Bottleneck with Quick Term Templates |
| Q57385252 | Overcoming the Ontology Enrichment Bottleneck with Quick Term Templates |
| Q114612343 | Perspectives on Data Sharing and the New NIH policy from the European Union |
| Q57278386 | PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud |
| Q61660063 | PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud |
| Q29301289 | Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project |
| Q53589963 | Publishing descriptions of non-public clinical datasets: guidance for researchers, repositories, editors and funding organisations |
| Q49545604 | Publishing descriptions of non-public clinical datasets: proposed guidance for researchers, repositories, editors and funding organisations. |
| Q28714388 | Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference |
| Q28727663 | Report of the 13(th) Genomic Standards Consortium Meeting, Shenzhen, China, March 4-7, 2012 |
| Q33992760 | Selected papers from the 12th annual Bio-Ontologies meeting |
| Q56891291 | Selected papers from the 13th Annual Bio-Ontologies Special Interest Group Meeting |
| Q28730337 | Selected papers from the 14th Annual Bio-Ontologies Special Interest Group Meeting |
| Q28708833 | Selected papers from the 15th Annual Bio-Ontologies Special Interest Group Meeting |
| Q89935702 | Semantic concept schema of the linear mixed model of experimental observations |
| Q56506588 | Standard reporting requirements for biological samples in metabolomics experiments: environmental context |
| Q36748766 | Standardization Initiatives in the (eco)toxicogenomics domain: a review |
| Q42677397 | Standardizing data |
| Q54302123 | Standards and infrastructure for managing experimental metadata |
| Q24813463 | Standards for microarray data: an open letter |
| Q24803791 | Submission of microarray data to public repositories |
| Q56982449 | Summary recommendations for standardization and reporting of metabolic analyses |
| Q27496412 | Survey-based naming conventions for use in OBO Foundry ontology development |
| Q89653408 | TeSS: a platform for discovering life science training opportunities |
| Q42641390 | The ArrayExpress gene expression database: a software engineering and implementation perspective |
| Q123139490 | The FAIR Cookbook - the essential resource for and by FAIR doers |
| Q27942822 | The FAIR Guiding Principles for scientific data management and stewardship |
| Q56889083 | The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics |
| Q28743400 | The Genomic Standards Consortium |
| Q38409679 | The MGED Ontology: a resource for semantics-based description of microarray experiments |
| Q28707581 | The MetaboLights repository: curation challenges in metabolomics |
| Q28709370 | The Metadata Coverage Index (MCI): A standardized metric for quantifying database metadata richness |
| Q19671692 | The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration |
| Q28551680 | The Ontology for Biomedical Investigations |
| Q30763296 | The Risa R/Bioconductor package: integrative data analysis from experimental metadata and back again |
| Q30707678 | The Stem Cell Commons: an exemplar for data integration in the biomedical domain driven by the ISA framework |
| Q35630951 | The Stem Cell Discovery Engine: an integrated repository and analysis system for cancer stem cell comparisons |
| Q37178210 | The carcinoGENOMICS project: critical selection of model compounds for the development of omics-based in vitro carcinogenicity screening assays |
| Q30976796 | The center for expanded data annotation and retrieval |
| Q47340613 | The first RSBI (ISA-TAB) workshop: "can a simple format work for complex studies?". |
| Q114868265 | The future of metabolomics in ELIXIR |
| Q38882086 | The future of metabolomics in ELIXIR. |
| Q28744689 | The genomic standards consortium: bringing standards to life for microbial ecology |
| Q47269148 | The international MAQC Society launches to enhance reproducibility of high-throughput technologies |
| Q28279450 | The minimum information about a genome sequence (MIGS) specification |
| Q28768258 | The use of concept maps during knowledge elicitation in ontology development processes--the nutrigenomics use case |
| Q30483844 | Toward a standards-compliant genomic and metagenomic publication record |
| Q28090939 | Toward interoperable bioscience data |
| Q61014268 | Toward unrestricted use of public genomic data: |
| Q28302329 | Towards BioDBcore: a community-defined information specification for biological databases |
| Q28743747 | Towards BioDBcore: a community-defined information specification for biological databases |
| Q28742603 | Towards interoperable reporting standards for omics data: hopes and hurdles |
| Q51162046 | Visual compression of workflow visualizations with automated detection of macro motifs. |
| Q51528690 | Wrestling with SUMO and bio-ontologies. |
| Q28650381 | linkedISA: semantic representation of ISA-Tab experimental metadata |
| Q108921028 | FAIRsharing.org | founded by | P112 |
| Q106587228 | Simon Kroll | doctoral student | P185 |
| Q27725928 | Scientific Data | editor | P98 |
| Q70971538 | The What, How and Why of Open Science | speaker | P823 |
| Susanna-Assunta Sansone | wikipedia |
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