Preservation plan - Revision history

Mmcgale: /* Current Preservation Formats */

2025-12-04T00:00:00Z

Current Preservation Formats

← Older revision		Revision as of 00:00, 4 December 2025
Line 30:		Line 30:
	- Quantitative. SPSS data (.sav), SPSS syntax (.sps) and the DDI JSON system fixity and metadata comprise the preservation package.		- Quantitative. SPSS data (.sav), SPSS syntax (.sps) and the DDI JSON system fixity and metadata comprise the preservation package.

	- Qualitative. ADA holds a small number of datasets with minimal long-term preservation support currently. Qualitative preservation processes are in development.		- Qualitative. ADA holds a small number of datasets with minimal long-term preservation support currently. Qualitative preservation processes are in development.


	===Future Preservation Formats===		===Future Preservation Formats===

Mmcgale at 22:36, 3 December 2025

2025-12-03T22:36:22Z

Show changes

JMcDougall: /* Formal Migration, Bit Level Integrity & Obsolescence Planning */

2024-10-28T23:27:37Z

Formal Migration, Bit Level Integrity & Obsolescence Planning

← Older revision		Revision as of 23:27, 28 October 2024
Line 16:		Line 16:

	===Formal Migration, Bit Level Integrity & Obsolescence Planning===		===Formal Migration, Bit Level Integrity & Obsolescence Planning===
	ADA has no present requirement for format migration of data holdings due to the type of data deposited and reused by the Designated Community. ADA Archival Storage and Dataverse instances [47] are provisioned, hosted and backed up on National Computational Infrastructure (NCI) servers. NCI has procedures for monitoring bit level integrity against the deterioration of their storage media [37].		ADA has no present requirement for format migration of data holdings due to the type of data deposited and reused by the Designated Community. ADA Archival Storage and Dataverse instances [https://docs.ada.edu.au/images/f/f4/CTS_2024_ADA%2BNCI_-_RDS%2BStorage_solutions_JM_%28V4%29_2024-09-06_wiki.jpeg 47] are provisioned, hosted and backed up on National Computational Infrastructure (NCI) servers. NCI has procedures for monitoring bit level integrity against the deterioration of their storage media [37].

	Obsolescence planning, bit level integrity, and storage migration is managed on behalf of ADA by the NCI [7].		Obsolescence planning, bit level integrity, and storage migration is managed on behalf of ADA by the NCI [7].

JMcDougall: /* Objectives */

2024-10-28T23:22:30Z

Objectives

← Older revision		Revision as of 23:22, 28 October 2024
Line 11:		Line 11:
	== Objectives ==		== Objectives ==

	Key ~~objects~~ are (a) to ensure ADA has administrative, technical and archival processes in place that archive staff and the Designated Community can understand, and (b) to meet effective requirements for long-term preservation and management of data and metadata.		Key objectives are (a) to ensure ADA has administrative, technical and archival processes in place that archive staff and the Designated Community can understand, and (b) to meet effective requirements for long-term preservation and management of data and metadata.

	==Actions==		==Actions==

JMcDougall: /* Responsibilities */

2024-10-28T23:21:47Z

Responsibilities

← Older revision		Revision as of 23:21, 28 October 2024
Line 7:		Line 7:
	== Responsibilities ==		== Responsibilities ==

	ADA has been responsible for providing data archival and long-term preservation support since 1981 [25], growing over this time in response to the needs of its Designated Community. The ADA keeps pace with and meet user requirements within the technical and user landscape, with active participation through external engagement and memberships [30], in-kind collaborations, and funded projects [44]. ADA ensures data is preserved for future usability under the FAIR (Findable, Accessible, Interoperable and Re-Usable) principles [45] supported through the implementation of FAIR in the Dataverse platform [62]. ADA is actively working towards the realisation of CARE (Collective Benefit, Authority to Control, Responsibility, and Ethics) principles [46] for Indigenous Data Governance, supporting ~~for~~ Indigenous lead projects and research [44], and developing CARE oriented archival practise.		ADA has been responsible for providing data archival and long-term preservation support since 1981 [25], growing over this time in response to the needs of its Designated Community. The ADA keeps pace with and meet user requirements within the technical and user landscape, with active participation through external engagement and memberships [30], in-kind collaborations, and funded projects [44]. ADA ensures data is preserved for future usability under the FAIR (Findable, Accessible, Interoperable and Re-Usable) principles [45] supported through the implementation of FAIR in the Dataverse platform [62]. ADA is actively working towards the realisation of CARE (Collective Benefit, Authority to Control, Responsibility, and Ethics) principles [46] for Indigenous Data Governance, supporting Indigenous lead projects and research [44], and developing CARE oriented archival practise.

	== Objectives ==		== Objectives ==

RPerry: /* References */

2024-09-11T00:35:07Z

References

← Older revision		Revision as of 00:35, 11 September 2024
Line 59:		Line 59:

	[48] IBM SPSS – (https://www.ibm.com/spss)[62] Dataverse Project FAIR Principles – (https://scholar.harvard.edu/mercecrosas/presentations/fair-guiding-principles-implementation-dataverse)		[48] IBM SPSS – (https://www.ibm.com/spss)[62] Dataverse Project FAIR Principles – (https://scholar.harvard.edu/mercecrosas/presentations/fair-guiding-principles-implementation-dataverse)

			[70] ADA Preservation Tool – (https://github.com/ADA-ANU/ADA_Preservation_tool)

RPerry: /* Future Preservation Formats */

2024-09-11T00:35:00Z

Future Preservation Formats

← Older revision		Revision as of 00:35, 11 September 2024
Line 28:		Line 28:

	====Future Preservation Formats ====		====Future Preservation Formats ====
	ADA has developed an R Preservation Tool to export SPSS data currently preserved as .sav to an ASCII format readable by a text editor. The Tool will be available on ADA GitHub and will be available to the wider community when it is in production. The Preservation Tool exports the data in ASCII (.dat) format, extracts data file structure attributes from the .sav file, and exports the syntax in a format readable by a text editor (.sps). The inclusion of the data file attributes ensures the preservation data is readable by a text editor or can be run directly in SPSS to rebuild the .sav, or other tabular data file formats. Once implemented, ADA will process all preservation .sav data files to the new preservation format using the R Preservation Tool. The tool is successfully running on the ADA R Shiny server in test mode and ready for implementation.		ADA has developed an R Preservation Tool [70] to export SPSS data currently preserved as .sav to an ASCII format readable by a text editor. The Tool will be available on ADA GitHub and will be available to the wider community when it is in production. The Preservation Tool exports the data in ASCII (.dat) format, extracts data file structure attributes from the .sav file, and exports the syntax in a format readable by a text editor (.sps). The inclusion of the data file attributes ensures the preservation data is readable by a text editor or can be run directly in SPSS to rebuild the .sav, or other tabular data file formats. Once implemented, ADA will process all preservation .sav data files to the new preservation format using the R Preservation Tool. The tool is successfully running on the ADA R Shiny server in test mode and ready for implementation.

	====Metadata Schemas ====		====Metadata Schemas ====
	The Data Documentation Initiative (DDI) [18] metadata schema (DDI-Codebook) is the standard metadata schema to describe data collected and used by the Designated Community. DDI is implemented by the Dataverse application.		The Data Documentation Initiative (DDI) [18] metadata schema (DDI-Codebook) is the standard metadata schema to describe data collected and used by the Designated Community. DDI is implemented by the Dataverse application.

RPerry: /* References */

2024-09-10T23:51:01Z

References

← Older revision		Revision as of 23:51, 10 September 2024
Line 48:		Line 48:

	==References==		==References==
			[43] Studies of Childhood, Education & Youth (SOCEY) – (https://www.socey.net/repository/)

			[44] ADA Projects – (https://docs.ada.edu.au/index.php/ADA_Projects)

			[45] FAIR Principles – (https://ardc.edu.au/resource/fair-data/)[46] CARE Principles for Indigenous Data Governance – (https://ardc.edu.au/resource/the-care-principles/)

			[47] ADA OAIS Workflows ADAPT DR Diagram – (https://docs.ada.edu.au/images/f/f4/CTS_2024_ADA%2BNCI_-_RDS%2BStorage_solutions_JM_%28V4%29_2024-09-06_wiki.jpeg)

			[37] Storage & Integrity – (https://docs.ada.edu.au/index.php/Storage_%26_Integrity)[42] Open Archival Information System (OAIS) Reference Model – (https://public.ccsds.org/pubs/650x0m2.pdf)

			[48] IBM SPSS – (https://www.ibm.com/spss)[62] Dataverse Project FAIR Principles – (https://scholar.harvard.edu/mercecrosas/presentations/fair-guiding-principles-implementation-dataverse)

RPerry: /* Deleting Data & Metadata */

2024-09-10T23:50:42Z

Deleting Data & Metadata

← Older revision		Revision as of 23:50, 10 September 2024
Line 45:		Line 45:

	===Deleting Data & Metadata===		===Deleting Data & Metadata===
	Data in the SIP or AIP ~~state~~ can be deleted by the ADA archivist team if directed by depositors, or for legal reasons, with the archiving team maintaining records relating to the request for deletion. Data in the DIP ~~state~~ cannot be deleted [37].		Data in the SIP or AIP stage of the archival workflow can be deleted by the ADA archivist team if directed by depositors, or for legal reasons, with the archiving team maintaining records relating to the request for deletion. Data in the DIP package cannot be deleted [37]. For data that have been published on ADA’s production Dataverse [10], ADA does not delete them but rather deaccessions them. This process results in the published collection being labelled as “Deaccessioned” in Dataverse and renders its files accessible only to ADA staff with permission levels equivalent to admin. There is no need to tombstone [4] the DOI as the dataset landing page is still available.

	For ~~datasets~~ that have been published on ADA’s production Dataverse [10], ADA does not delete them but rather deaccessions them. This process results in the ~~dataset~~ being labelled as “Deaccessioned” in Dataverse and renders its files accessible only to ~~users~~ with ~~the correct~~ permission levels. There is no need to tombstone [4] the DOI as the dataset landing page is still available.

	==References==		==References==

RPerry: /* Reappraisal of Digital Objects */

2024-09-10T23:50:28Z

Reappraisal of Digital Objects

← Older revision		Revision as of 23:50, 10 September 2024
Line 42:		Line 42:

	===Reappraisal of Digital Objects===		===Reappraisal of Digital Objects===
	Reappraisal of digital objects is driven by requirements in the Designated Community, or by technological, or policy changes within or external to ADA. Changes to curation or preservation levels of digital objects are identified and managed through ~~the~~ formal weekly archivist team meetings, including regular participation by the ADA Director, and the ADA Technical Manager as needed [34]. The formal structure of the weekly meetings ensures outcomes are considered from archival, organisational, and technical perspectives.		Reappraisal of digital objects is driven by requirements in the Designated Community, or by technological or policy changes within or external to ADA. Changes to curation or preservation levels of digital objects are identified and managed through formal weekly archivist team meetings, including regular participation by the ADA Director, and the ADA Technical Manager as needed [34]. The formal structure of the weekly meetings ensures outcomes are considered from archival, organisational, and technical perspectives.

	===Deleting Data & Metadata===		===Deleting Data & Metadata===