Publication

Metadata standards and tools in Life Sciences – an overview

2020
Reports

Abstract

In 2020, EPFL Library conducted a study about Tools and Metadata Standards practice in EPFL School of Life Sciences. By standard, we mean: - terminological resources (vocabularies, terminologies, classifications, thesauri), - formats and data models / schemas, - structured knowledge bases (databases, reference databases, ontologies). And by tools, we mean: - bioinformatics software (i.e. for sequence or molecular structure analysis of proteins and genes) - databases from the Life Sciences field (i.e. genome databases). Our goal was twofold: on the one hand, to gain new knowledge and insights, and on the other hand, to develop a reproducible survey methodology resolutely based on liaison librarian-data librarian collaboration. This report reflects the methods, results and outcomes collected during 3 phases of the study: literature review, survey and interviews.

Official source

https://infoscience.epfl.ch/entities/publication/5e973382-3c90-4e48-adda-cbb6412f9e1c

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2020
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/5e973382-3c90-4e48-adda-cbb6412f9e1c

About this result

Related concepts (32)

Metadata

Metadata (or metainformation) is "data that provides information about other data", but not the content of the data, such as the text of a message or the image itself. There are many distinct types of metadata, including: Descriptive metadata – the descriptive information about a resource. It is used for discovery and identification. It includes elements such as title, abstract, author, and keywords. Structural metadata – metadata about containers of data and indicates how compound objects are put together, for example, how pages are ordered to form chapters.

Biological database

Biological databases are libraries of biological sciences, collected from scientific experiments, published literature, high-throughput experiment technology, and computational analysis. They contain information from research areas including genomics, proteomics, metabolomics, microarray gene expression, and phylogenetics. Information contained in biological databases includes gene function, structure, localization (both cellular and chromosomal), clinical effects of mutations as well as similarities of biological sequences and structures.

Data model

A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities. For instance, a data model may specify that the data element representing a car be composed of a number of other elements which, in turn, represent the color and size of the car and define its owner. The corresponding professional activity is called generally data modeling or, more specifically, database design.