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Tools: Data Stewardship Wizard  or ObjTables 


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
Slides from Data Management Planning Workshop

Slides from Data Management Planning workshop for Life Science Projects in Ås 11 March 2020

Scientific topics: Data management

Operations: Data handling

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop https://tess.elixir-europe.org/materials/slides-from-data-management-planning-workshop-1bb3798d-4e70-423c-87b6-82ac7e5e5c54 Slides from Data Management Planning workshop for Life Science Projects in Ås 11 March 2020 Data management Data management plan, data management PhD students Post Docs Professors
Slides from Data Management Planning Workshop

Slides from Data Management Planning workshop for Life Science Projects in Bergen 04 March 2020

Scientific topics: Data management

Operations: Data handling

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop https://tess.elixir-europe.org/materials/slides-from-data-management-planning-workshop Slides from Data Management Planning workshop for Life Science Projects in Bergen 04 March 2020 Data management Data management plan, data management PhD students Post Docs Professors
Data Stewardship Wizard Workshop (Feb 2020)

[Data Stewardship Wizard](ds-wizard.org) brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into...

Scientific topics: Data management, Data governance

Keywords: Data management plan, data stewardship, FAIR, data management, software tools

Resource type: Video, Webinar, Slides

Data Stewardship Wizard Workshop (Feb 2020) https://tess.elixir-europe.org/materials/data-stewardship-wizard-workshop-feb-2020 [Data Stewardship Wizard](ds-wizard.org) brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into per-project questionnaires to be filled by researchers. This workshop explains the core functionality of the Data Stewardship Wizard. Video recording from the workshop is available **[here](https://www.youtube.com/watch?v=aGpr6JFMuiE)**. Data management Data governance Data management plan, data stewardship, FAIR, data management, software tools Researchers data stewards