Quick Deposit Guide - Revision history

JMcDougall: /* Step 4 - Provide metadata */

2025-10-22T00:35:45Z

Step 4 - Provide metadata

← Older revision		Revision as of 00:35, 22 October 2025
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	Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). Navigate to the Metadata tab, and click ‘Add + Edit Metadata’ to edit the fields.		Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). Navigate to the Metadata tab, and click ‘Add + Edit Metadata’ to edit the fields.

	See our ~~brief~~ [[Metadata guidelines for ADA Dataverse]] and the [https://rdf-vocabulary.ddialliance.org/cv DDI Controlled Vocabularies - Overview] for recommended 'vocabulary TERMS'.		See our [[Metadata guidelines for ADA Dataverse]] and the [https://rdf-vocabulary.ddialliance.org/cv DDI Controlled Vocabularies - Overview] for recommended 'vocabulary TERMS'.

	If you are still unsure about what information to provide in a given field, please refer to the [https://zenodo.org/records/5576412 Dataverse North Metadata Best Practises Guide]		If you are still unsure about what information to provide in a given field, please refer to the [https://zenodo.org/records/5576412 Dataverse North Metadata Best Practises Guide] for more extensive documentation.

	= Step 5 - License and Access conditions =		= Step 5 - License and Access conditions =

JMcDougall: /* Step 4 - Provide metadata */

2025-10-22T00:34:30Z

Step 4 - Provide metadata

← Older revision		Revision as of 00:34, 22 October 2025
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	Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). Navigate to the Metadata tab, and click ‘Add + Edit Metadata’ to edit the fields.		Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). Navigate to the Metadata tab, and click ‘Add + Edit Metadata’ to edit the fields.

	See our brief [[Metadata guidelines for ADA Dataverse]]		See our brief [[Metadata guidelines for ADA Dataverse]] and the [https://rdf-vocabulary.ddialliance.org/cv DDI Controlled Vocabularies - Overview] for recommended 'vocabulary TERMS'.

	If you are still unsure about what information to provide in a given field, please refer to the [https://zenodo.org/records/5576412 Dataverse North Metadata Best Practises Guide]		If you are still unsure about what information to provide in a given field, please refer to the [https://zenodo.org/records/5576412 Dataverse North Metadata Best Practises Guide]

JMcDougall at 05:13, 20 October 2025

2025-10-20T05:13:45Z

← Older revision		Revision as of 05:13, 20 October 2025
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	*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]		*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
	*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]		*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

			== Levels of Curation ==
			ADA will discuss with depositors levels of curation that may be offered:
			* A. Content distributed as deposited
			* B. Basic curation – e.g., brief checking, addition of basic metadata or documentation
			* C. Enhanced curation – e.g., conversion to new formats, enhancement of documentation
			* D. Data-level curation – as in C above, but with additional editing of deposited data for accuracy

	== Reusability of data ==		== Reusability of data ==

JMcDougall: /* Step 3 - Upload files */

2025-10-07T05:33:40Z

Step 3 - Upload files

← Older revision		Revision as of 05:33, 7 October 2025
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	* 2_ for GENERAL Release data files (as defined in the ADA Data License based on data sensitivity)		* 2_ for GENERAL Release data files (as defined in the ADA Data License based on data sensitivity)
	* 3_ for RESTRICTED release files (as defined in the ADA Data License based on data sensitivity)		* 3_ for RESTRICTED release files (as defined in the ADA Data License based on data sensitivity)
			* 99_ for ARCHIVE ONLY
	* the ADA ID should be part of the filename		* the ADA ID should be part of the filename

JMcDougall: /* Data formats */

2025-10-07T05:18:52Z

Data formats

← Older revision		Revision as of 05:18, 7 October 2025
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	;Qualitative data		;Qualitative data
	: Data formats vary significantly and submitted formats will also be considered on a case-by-case basis. See ADA's [https://docs.ada.edu.au/index.php/Qualitative_Data_Processing Qualiltative Data Processing] ~~information for~~ guidelines.		: Data formats vary significantly and submitted formats will also be considered on a case-by-case basis. See ADA's [https://docs.ada.edu.au/index.php/Qualitative_Data_Processing Qualiltative Data Processing] guidelines.

	;Other formats		;Other formats

JMcDougall: /* Data formats */

2025-10-07T05:18:11Z

Data formats

← Older revision		Revision as of 05:18, 7 October 2025
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	;Qualitative data		;Qualitative data
	: ~~ata~~ formats vary significantly and submitted formats will also be considered on a case-by-case basis		: Data formats vary significantly and submitted formats will also be considered on a case-by-case basis. See ADA's [https://docs.ada.edu.au/index.php/Qualitative_Data_Processing Qualiltative Data Processing] information for guidelines.

			;Other formats
	If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.		If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

JMcDougall: /* Data formats */

2025-10-07T05:14:32Z

Data formats

← Older revision		Revision as of 05:14, 7 October 2025
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	;Tabular data files		;Tabular data files
	Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.
	: ADA prefers submission in SPSS format for tabular survey data because that file format contains a metadata dictionary (.sav files). This format captures variable level metadata (variable and value labels, data formats etc.) and SPSS Statistics is adept at exporting multiple alternative file formats.		: ADA prefers submission in SPSS format for tabular survey data because that file format contains a metadata dictionary (.sav files). This format captures variable level metadata (variable and value labels, data formats etc.) and SPSS Statistics is adept at exporting multiple alternative file formats.

	: The ADA also accepts Stata (.dta) SAS (.sas; .sas7bdat), and R (.rdata), as well as text formats (.csv; .tab) provided data including both value labels and codes can be provided. Other data formats will be considered on a case-by-case basis.		: The ADA also accepts Stata (.dta) SAS (.sas; .sas7bdat), and R (.rdata), as well as text formats (.csv; .tab) provided data including both value labels and codes can be provided. Other data formats will be considered on a case-by-case basis.

			Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

	;Qualitative data		;Qualitative data

JMcDougall: /* Data formats */

2025-10-07T05:14:03Z

Data formats

← Older revision		Revision as of 05:14, 7 October 2025
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	== Data formats ==		== Data formats ==
	~~The~~ ADA ~~prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable~~ and ~~values labels can be associated with their~~ data. We ~~will export all tabular~~ data ~~to SPSS, STATA and SAS formats, as well as CSV for distribution~~.		ADA predominately archives and disseminates quantitative data. We have a small collection of qualitative data.

	;Tabular data files		;Tabular data files
	: ADA prefers submission in SPSS format (.sav files). This format captures variable level metadata (variable and value labels, data formats etc.) and SPSS Statistics is adept at exporting multiple alternative file formats.		Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.
			: ADA prefers submission in SPSS format for tabular survey data because that file format contains a metadata dictionary (.sav files). This format captures variable level metadata (variable and value labels, data formats etc.) and SPSS Statistics is adept at exporting multiple alternative file formats.

	: The ADA also accepts Stata (.dta) SAS (.sas; .sas7bdat), and R (.rdata), as well as text formats (.csv; .tab) provided data including both value labels and codes can be provided. Other data formats will be considered on a case-by-case basis.		: The ADA also accepts Stata (.dta) SAS (.sas; .sas7bdat), and R (.rdata), as well as text formats (.csv; .tab) provided data including both value labels and codes can be provided. Other data formats will be considered on a case-by-case basis.

JMcDougall: /* Data formats */

2025-10-07T05:11:16Z

Data formats

← Older revision		Revision as of 05:11, 7 October 2025
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	== Data formats ==		== Data formats ==
	The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.		The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

			;Tabular data files
			: ADA prefers submission in SPSS format (.sav files). This format captures variable level metadata (variable and value labels, data formats etc.) and SPSS Statistics is adept at exporting multiple alternative file formats.

			: The ADA also accepts Stata (.dta) SAS (.sas; .sas7bdat), and R (.rdata), as well as text formats (.csv; .tab) provided data including both value labels and codes can be provided. Other data formats will be considered on a case-by-case basis.

			;Qualitative data
			: ata formats vary significantly and submitted formats will also be considered on a case-by-case basis

	If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.		If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

JMcDougall: /* Reusability of data */

2025-09-23T07:07:57Z

Reusability of data

← Older revision		Revision as of 07:07, 23 September 2025
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	;Study variable names		;Study variable names
	: use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).		: use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).
	;~~Study variable~~ lengths		;Variable name lengths
	: STATA always supports 32 characters		: STATA always supports 32 characters
	: SPSS supports 64 characters. 8 or12-character restriction applies to versions below v12		: SPSS supports 64 characters. 8 or12-character restriction applies to versions below v12