Record added: May 11, 2020, 8:14 a.m.
Record updated: June 9, 2020, 4:14 p.m. by The FAIRsharing Team.

Edits to 'https://fairsharing.org/FAIRsharing.grL0zu' by 'The FAIRsharing Team' at 16:14, 09 Jun 2020 (approved):

	'shortname' has been modified:
		Before: ObjTables Schema Formats
		After: ObjTables Schemas

	'name' has been modified:
		Before: ObjTables Schema Formats
		After: ObjTables Schemas

            

Edits to 'https://fairsharing.org/FAIRsharing.grL0zu' by 'The FAIRsharing Team' at 16:12, 09 Jun 2020 (approved):

	'name' has been modified:
		Before: ObjTables
		After: ObjTables Schema Formats

	'user_defined_tags' has been modified:
		Before:
			Excel
			composable
			dataset
			object-relational mapping
			reusable
			schema
			spreadsheet
			table
		After:
			Excel
			General purpose
			Structured data
			composable
			dataset
			object-relational mapping
			reusable
			schema
			spreadsheet
			table
		Added:
			General purpose
			Structured data
		Removed:

	'onto_disciplines' has been modified:
		Before:
		After:
			Data Quality
		Added:
			Data Quality
		Removed:

	'shortname' has been modified:
		Before: ObjTables
		After: ObjTables Schema Formats

	'homepage' has been modified:
		Before: https://www.objtables.org
		After: https://www.objtables.org/docs#schema-formats

	'description' has been modified:
		Before: 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.
		After: ObjTables Schemas allow the creation of re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigour of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of classes).

ObjTables schemas can either be defined with a tabular format or with the ObjTables Python package. The tabular format is easy to use, and requires no programming. The tabular format supports most of the features of ObjTables, including a wide range of data types, relationships, transposed and embedded tables, single inheritance, and basic validation. The ObjTables Python package is more flexible. 
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.

            

Edits to 'https://fairsharing.org/FAIRsharing.grL0zu' by 'The FAIRsharing Team' at 10:17, 11 May 2020 (approved):

	'licences' has been modified:
		Before:
			MIT|https://github.com/KarrLab/obj_tables/blob/master/LICENSE|Data
		After:
			ObjTables MIT License|https://github.com/KarrLab/obj_tables/blob/master/LICENSE|Data
		Added:
			ObjTables MIT License|https://github.com/KarrLab/obj_tables/blob/master/LICENSE|Data
		Removed:
			MIT|https://github.com/KarrLab/obj_tables/blob/master/LICENSE|Data

	'miriam_id' has been modified:
		Before: None
		After: 

            

Edits to 'https://fairsharing.org/FAIRsharing.grL0zu' by 'The FAIRsharing Team' at 09:45, 11 May 2020 (approved):

	'doi' has been modified:
		Before: None
		After: 

	'miriam_id' has been modified:
		Before: 
		After: None