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Scientific topics: Data integration and wareho... 


Making cohort data FAIR

CINECA webinar about how to make data from cohort studies FAIR

Scientific topics: Data management, Data integration and warehousing

Keywords: FAIR data, Cohort data, Ontologies, Standards

Resource type: Video

Making cohort data FAIR https://tess.elixir-europe.org/materials/making-cohort-data-fair CINECA webinar about how to make data from cohort studies FAIR Data management Data integration and warehousing FAIR data, Cohort data, Ontologies, Standards
Annotating data using next generation biobanking ontology (NGBO)

This video explains why we need data standardization and how to annotate data using next generation biobanking ontology (NGBO).

Scientific topics: Ontology and terminology, Data integration and warehousing

Keywords: Standards, Ontologies, Data Integration, data harmonization, Standardised vocabulary

Resource type: Video

Annotating data using next generation biobanking ontology (NGBO) https://tess.elixir-europe.org/materials/annotating-data-using-next-generation-biobanking-ontology-ngbo This video explains why we need data standardization and how to annotate data using next generation biobanking ontology (NGBO). Ontology and terminology Data integration and warehousing Standards, Ontologies, Data Integration, data harmonization, Standardised vocabulary
Applying data standards to the harmonization of COVID-19 datasets from different sources

This video describes how public health genomics has played a key role in international responses to the COVID-19 pandemic, and how data standards are being used to harmonize data across jurisdictions for Canadian COVID-19 surveillance and outbreak investigations.

Scientific topics: Data integration and warehousing

Keywords: Data integration, Standards, Standardised vocabulary, data harmonization, Ontologies

Resource type: Video

Applying data standards to the harmonization of COVID-19 datasets from different sources https://tess.elixir-europe.org/materials/applying-data-standards-to-the-harmonization-of-covid-19-datasets-from-different-sources This video describes how public health genomics has played a key role in international responses to the COVID-19 pandemic, and how data standards are being used to harmonize data across jurisdictions for Canadian COVID-19 surveillance and outbreak investigations. Data integration and warehousing Data integration, Standards, Standardised vocabulary, data harmonization, Ontologies Anyone interested in data standardization and/or the ontology approach (i.e. public, end users).
Useful ontologies for harmonizing cohort data

This video describes a community of practice for interoperable ontology building called the OBO Foundry, and highlights a number of well curated and maintained ontologies that are useful for annotating cohort data.

Scientific topics: Ontology and terminology, Data management, Data integration and warehousing

Keywords: Ontologies, Cohort data, data annotation

Resource type: Video

Useful ontologies for harmonizing cohort data https://tess.elixir-europe.org/materials/useful-ontologies-for-harmonizing-cohort-data This video describes a community of practice for interoperable ontology building called the OBO Foundry, and highlights a number of well curated and maintained ontologies that are useful for annotating cohort data. Ontology and terminology Data management Data integration and warehousing Ontologies, Cohort data, data annotation Anyone interested in data standardization and/or the ontology approach (i.e. public, end users).
ObjTables Python tutorials

ObjTables is a toolkit for creating re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigor of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of...

Scientific topics: Data submission, annotation, and curation, Data quality management, Data integration and warehousing, Data management

Operations: Validation

Keywords: spreadsheet, schema, table, workbook, worksheet, XLSX, Excel, standard, reuse, compose, integrate, quality control

Resource type: Jupyter notebook

ObjTables Python tutorials https://tess.elixir-europe.org/materials/objtables-python-tutorials ObjTables is a toolkit for creating re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigor of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of classes). ObjTables consists of a format for describing schemas for spreadsheets, numerous data types for science, a markup format for indicating the class and attribute represented by each table and column in a workbook, and software for using schemas to rigorously validate, merge, split, compare, and revision datasets. ObjTables is ideal for supplementary materials of journal article, as well as for emerging domains which need to quickly build new formats for new types of data and associated software with minimal effort. The tutorials provide a brief introduction to the ObjTables format for schemas for spreadsheets, the ObjTables markup syntax for spreadsheets, and the ObjTables Python package for parsing, validating, querying, editing, comparing, merging, splitting, revisioning, migrating, and analyzing spreadsheets. Data submission, annotation, and curation Data quality management Data integration and warehousing Data management spreadsheet, schema, table, workbook, worksheet, XLSX, Excel, standard, reuse, compose, integrate, quality control Researchers Scientists Data scientists computational scientists
Annotating data using ontologies

This video highlights examples of tools and ontologies which can be used for annotating health data, and how ontologies help to support data ecosystems.

Scientific topics: Ontology and terminology, Data integration and warehousing, Data management

Keywords: Ontologies, Annotation, Data integration

Resource type: Video

Annotating data using ontologies https://tess.elixir-europe.org/materials/annotating-data-using-ontologies This video highlights examples of tools and ontologies which can be used for annotating health data, and how ontologies help to support data ecosystems. Ontology and terminology Data integration and warehousing Data management Ontologies, Annotation, Data integration
Solutions for overcoming cohort data integration challenges using ontology: an introduction

Ontologies are collections of well-defined, hierarchical, controlled vocabulary, linked by logical relationships. This video introduces the concept and benefits of implementing ontologies for solving data integration issues when data is generated by different research groups.

Scientific topics: Data management, Data integration and warehousing, Ontology and terminology

Keywords: Ontologies, Data integration, Annotation

Resource type: Video

Solutions for overcoming cohort data integration challenges using ontology: an introduction https://tess.elixir-europe.org/materials/solutions-for-overcoming-cohort-data-integration-challenges-using-ontology-an-introduction Ontologies are collections of well-defined, hierarchical, controlled vocabulary, linked by logical relationships. This video introduces the concept and benefits of implementing ontologies for solving data integration issues when data is generated by different research groups. Data management Data integration and warehousing Ontology and terminology Ontologies, Data integration, Annotation