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Scientific topics: Data submission, annotation... 

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
Data harmonization and enrichment using EMBL-EBI ontology tools

This video explains how the Zooma annotation tool, the OxO mapping service and the Ontology Lookup Service (OLS) can be used to harmonise and enrich biological and biomedical data. The EMBL-EBI Ontology Tools can be used by both biological curators and software developers. Biological curators...

Scientific topics: Ontology and terminology, Data submission, annotation and curation, Data management

Keywords: CINECA, data harmonization, Annotation, Ontologies

Resource type: Video

Data harmonization and enrichment using EMBL-EBI ontology tools https://tess.elixir-europe.org/materials/data-harmonization-and-enrichment-using-embl-ebi-ontology-tools This video explains how the Zooma annotation tool, the OxO mapping service and the Ontology Lookup Service (OLS) can be used to harmonise and enrich biological and biomedical data. The EMBL-EBI Ontology Tools can be used by both biological curators and software developers. Biological curators access the tools through their respective websites. REST APIs are available for software developers who want to build systems based on these services. Ontology and terminology Data submission, annotation and curation Data management CINECA, data harmonization, Annotation, Ontologies biocurators software developers, bioinformaticians
bio.tools documentation

Documentation for the [bio.tools](https://bio.tools) Bioinformatics Tools and Services Discovery Portal.

Scientific topics: Ontology and terminology, Computational biology, Data submission, annotation and curation, Bioinformatics

Operations: Data retrieval

Keywords: Tools, Curation, Software, Sofware curation, Tool curation

Resource type: Documentation, API reference

bio.tools documentation https://tess.elixir-europe.org/materials/bio-tools-documentation Documentation for the [bio.tools](https://bio.tools) Bioinformatics Tools and Services Discovery Portal. Ontology and terminology Computational biology Data submission, annotation and curation Bioinformatics Tools, Curation, Software, Sofware curation, Tool curation Researchers Software providers Developers Curators
Implementation of Data Management Plans & Data Stewardship in practice

Materials from the ELIXIR workshop “Implementation of Data Management Plans & Data Stewardship in practice”, Sept 11, 2018 at ECCB2018, Athens, Greece.

Scientific topics: Data submission, annotation and curation, Data management

Keywords: data management, data stewardship, eLearning, EeLP

Resource type: course materials, Training materials, Slides

Implementation of Data Management Plans & Data Stewardship in practice https://tess.elixir-europe.org/materials/implementation-of-data-management-plans-data-stewardship-in-practice Materials from the ELIXIR workshop “Implementation of Data Management Plans & Data Stewardship in practice”, Sept 11, 2018 at ECCB2018, Athens, Greece. Celia van Gelder Roland Krause Mateusz Kuzak Brane Leskosek Marko Vidak Robert Pergl Marek Suchanek Jan Slifka Vojtech Knaisl Data submission, annotation and curation Data management data management, data stewardship, eLearning, EeLP bioinformaticians data stewards
Text mining and curation

This training will explain the basics of text mining, presenting the opportunities as well as the challenges of automatically extracting information from the literature. Further, the course will demonstrate how text mining data can be incorporated into a variety of applications and research...

Scientific topics: Data submission, annotation and curation, Natural language processing

Text mining and curation https://tess.elixir-europe.org/materials/text-mining-and-curation This training will explain the basics of text mining, presenting the opportunities as well as the challenges of automatically extracting information from the literature. Further, the course will demonstrate how text mining data can be incorporated into a variety of applications and research projects, covering not only human biology but also (other) animals, plants, bacteria, fungi and viruses. To ensure high quality of the textual data, the second day of the workshop will focus on manual evaluation and curation of the automatically retrieved information. Data submission, annotation and curation Natural language processing Life Science Researchers PhD students post-docs 2016-04-22 2017-04-14