Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Polygon data delineating modelled statistical flood extent with an Average Recurrence Interval (ARI) of 100 years. For historical/actual flood extents, refer to 'Historic_extent' layer. Also known as the 1 in 100 year flood layer, it is used, among other things, in the creation of 'Land Subject to Inundation' areas as used in …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Polygon data delineating modelled statistical flood extent with an Average Recurrence Interval (ARI) of 100 years. For historical/actual flood extents, refer to 'Historic_extent' layer. Also known as the 1 in 100 year flood layer, it is used, among other things, in the creation of 'Land Subject to Inundation' areas as used in Planning Scheme Zones. The 1 in 100 year data is not restricted. This data is part of a group of layers depicting a range of statistical ARI extents. Current layers include 5, 10, 20, 30, 50, 100, 200, 500, 1000 year intervals, each in a separate dataset. The layer called EXTENT_PMF represents areas of 'probable maximum flood' and is also part of this group. The data is statistically derived using hydrological models, historic flood extents and heights. Purpose Mainly used for municipal planning and risk assessment. The EXTENT_100Y_ARI layer is deemed the most appropriate to use for determining areas at risk of flooding. This layer directly inputs into the Land Subject to Inundation overlay. (LSIO) Dataset History Lineage: Primary Positional Accuracy: Precision: 5m to 100m Initial data, flagged as 'modified = 20000101' varies in accuracy, and should be treated with caution, particularly at scales less than 1:25,000. Data with 'modified' values later than 20000101 are quite accurate and mostly sourced from flood studies. This data is suitable to use at township and parcel level. Reliability field provides clues to the accuracy, where a value of 1 is best and 3 is worst. Attribute Accuracy: Attributes are verified and should be accurate. Overall reliability of the source material is indicated in RELIABILITY field, where 'HIGH' is good and 'LOW' is poor quality source information. Logical Consistency: Attributes are consistent with other related layers e.g. flood height contours Data Source: Flood data dates back to mid 1800s and historically has been predominantly located in DNRE Floodplain Management. Some data is located in Water Authorities. Completeness: Floodplain Management Unit mapping conventions on definitions of flood mapping height data will be followed. Additional Metadata: Recommend liaison with Floodplain Management Unit to clarify use of this layer Refer to mapping reports for each major data capture effort to be kept at DNRE Floodplain Management Unit. Dataset Citation Victorian Department of Environment and Primary Industries (2014) Victoria - 1 in 100 Year Flood Extent. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/6e59ed35-3fde-48e3-8135-eb05263ce4aa.

Polygon features representing the observed, derived or estimated inundation extent for floods that have occurred in Victoria. These are not linked to modelled flood data. Confirmed flood observations are derived from the automated and manual processing of data from the sources listed below. Note that while flood observations have manual oversight and corrections during the event, they are based on a point in time and may not necessarily represent the maximum flood extent. -\tAerial photography -\tAIG observation -\tAir observation -\tLinescans -\tGPS -\tGround Observer -\tSatellite imagery interpretations

The derived flood extent is from automated and manual processing of satellite data. This data is usually used to fill in gaps outside of areas covered by confirmed flood observations. Note that this flood extent data was prepared by the SCC Mapping Team for operational use only. It may have missing or incomplete data that could lead to gaps in analysis or visualisations. The dataset does not capture the peak flood extent in all areas. The dataset does not capture the extent of flash flooding. Past and future layers may be added as the data becomes available. List of events included in Supplemental Information

This dataset presents the location of business listings from Sands & McDougall's Directory of Victoria. The data was created by digitising the published business directories using an Optical Character Recognition (OCR) process. The extracted information includes the business name, address and business type as listed in the Sands & McDougall directories. The address information was subsequently geocoded to provide a spatial location. The data spans the the Sands & McDougall's Directory of Victoria publication years 1896, 1925 and 1974. Victoria Unearthed is a collection of data which includes past and present information about historical businesses, potential land and groundwater contamination, as well as information about contamination management and cleanup activities. Victoria Unearthed has been created in response to the Independent Inquiry into the Environmental Protection Authority (EPA). For further information about this dataset, visit the data source:Government of Victoria - Department of Land, Water and Planning. Please note: Attributes captured by OCR ("directory address", "business name" and "business type") are uncorrected and may include errors. The positional accuracy is affected by the limitations inherent with OCR and geocoding. Some issues such as changing street names, are exacerbated by the age of the records. The directories were not consistent in the amount of information captured as the business address, in many cases it only lists the town or suburb for the business. A modern (July 2018) property address, street or locality as defined by VicMap has been captured for all records.

Aerial image (true ortho) mosaic of the City of Melbourne municipal area. The true ortho image has been corrected to provide a true ‘top down’ view of the city, removing building lean and other interference typically found in oblique aerial imagery. The aerial image was captured May 2020 and is available for download in georeferenced format (JPEG2000).Capture Information- Capture Date: May 2020- Capture Pixel Size: 10cm ground sample distance- Map Projection: MGA 2020 Zone 55– 11 cm absolute accuracyLimitations:Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.Preview Image:See an example image showing the data quality of the aerial:Download:Download the aerial image data as a zipped .jpg2000 file. (45GB)

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

This is a virtual dataset. It is too large to supply directly to this data register and is available via the Victorian government data repository - https://www.data.vic.gov.au/data/

This contains line features delineating hydrological features.

Includes; Watercourses (ie channels, rivers & streams) & Connectors.

Attributed for name. Arcs run downstream.

A brief description of this dataset is also contained within a readme.txt within the dataset

Purpose

Vicmap Hydro provides an accurate representation of natural and man made Hydrographic features across Victoria, at a capture scale of 1:25,000. It is used in a variety of applications, particularly in emergency services, natural resource management, planning and development, and digital map publication.

Dataset History

Detail copied from the data.vic.gov.au Metadata record for Watercourse Network 1:25,000 - Vicmap Hydro (ANZVI0803002490).

The line work and points were generated from the Vicmap Digital Topographic (VDT) map base coordinated by LIG. VDT evolved from Victoria's printed 1:25,000 Topographic Map Series program together with the need to supply a control framework for the creation of the rural Digital Cadastral Mapbase. The capture scale is 1:25,000 Statewide and the coverage, except for minor border issues is also statewide.

The planimetric accuracy attainable will be the sum of errors from three sources:the positional accuracy of the source material, errors due to the conversion process, errors due to the manipulation process. For topographic base derived data this represents an error of 8.3m on the ground for 1:25,000 data. A conservative estimate of 10m for the standard deviation will be used in any data quality information. Alternate and equal ways of expressing this error are: not more than 10% of well-defined points will be in error by more than 16 m. The worst case error for the data is +/- 30 m. For vertical positional accuracy of points determined from contours there is an expectation that the elevation accuracy (standard deviation) will be half the value of the contour interval.

Dataset Citation

Victorian Department of Environment, Land, Water and Planning (2016) Vicmap Hydro. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/158f64d6-26cf-458b-80f4-f27161be2c55.

About this dataset

Context

The dataset tabulates the population of Victoria by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Victoria across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 52.68% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Victoria is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Victoria total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Victoria Population by Race & Ethnicity. You can refer the same here

In June 2016, Ambulance Victoria began capturing information about family, domestic or sexual violence as part of the administrative data collected by paramedics who have attended an event. \r The data included in these data tables concerns all records where family, domestic or sexual violence had been identified and recorded by attending paramedics.\r Currently data concerning family violence and sexual violence cannot easily be disaggregated. As such, the data in these data tables include events of sexual violence by a non-familial perpetrator.\r Unless expressly stated otherwise, the data used in these data tables count the number of records provided by Ambulance Victoria. \r This translates to the number of patients (non-unique) who were the subject of an event which involved Ambulance Victoria attendance.\r In order to maintain confidentiality, person-based counts with a value of 3 or less are displayed as "≤ 3" and are given a value of 2 to calculate totals.

A terrain surface dataset that represents the height value of all natural and built features of the surface of the city. Each pixel within the image contains an elevation value in accordance with the Australian Height Datum (AHD).

The data has been captured in May 2018 as GeoTiff files, and covers the entire municipality.

A KML tile index file can be found in the attachments to indicate the location of each tile, along with a sample image.

Capture Information:

Capture Pixel Resolution: 0.1 metres

Limitations:

Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.Preview:Download:A zip file containing all relevant files representing the Digital Surface ModelDownload Digital Surface Model data (12.0GB)

About this dataset

Context

The dataset tabulates the population of Victoria by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Victoria. The dataset can be utilized to understand the population distribution of Victoria by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Victoria. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Victoria.

Key observations

Largest age group (population): Male # 10-14 years (2,695) | Female # 5-9 years (2,714). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Victoria population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Victoria is shown in the following column.
• Population (Female): The female population in the Victoria is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Victoria for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Victoria Population by Gender. You can refer the same here

3D point cloud representing all physical features (e.g. buildings, trees and terrain) across City of Melbourne. The data has been encoded into a .las file format containing geospatial coordinates and RGB values for each point. The download is a zip file containing compressed .las files for tiles across the city area.

The geospatial data has been captured in Map Grid of Australia (MGA) Zone 55 projection and is reflected in the xyz coordinates within each .las file.
Also included are RGB (Red, Green, Blue) attributes to indicate the colour of each point.

Capture Information
- Capture Date: May 2018
- Capture Pixel Size: 7.5cm ground sample distance
- Map Projection: MGA Zone 55 (MGA55)
- Vertical Datum: Australian Height Datum (AHD)
- Spatial Accuracy (XYZ): Supplied survey control used for control (Madigan Surveying) – 25 cm absolute accuracy

Limitations:
Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.

Sample Data:
For an interactive sample of the data please see the link below.
https://cityofmelbourne.maps.arcgis.com/apps/webappviewer3d/index.html?id=b3dc1147ceda46ffb8229117a2dac56d

Preview:

Download:

A zip file containing the .las files representing tiles of point cloud data across City of Melbourne area.

Download Point Cloud Data (4GB)

The land cover mapping of Victoria, Australia, for 2021/22 was conducted using Sentinel-2 satellite imagery and the random forest machine learning algorithm. This map represents the entire Victoria at a spatial resolution of 20 meters, considerably improving earlier versions that previously were developed using coarser-resolution MODIS imagery. The map follows the FAO Land Cover Classification System to maintain consistency and accuracy in defining land cover types. Sentinel-2 data from April 2020 to March 2021 have been collected to capture seasonal variation relevant to a wide range of applications, from agricultural management to environmental monitoring, including climate change modelling. The data collection was done based on the usage of Sentinel-2 Level-1C orthorectified reflectance data that were further processed with the intention of deriving temporal aggregates of both spectral bands and vegetation indices. These pre-processed data then formed the basis of training a random forest classifier, calibrated with a blend of field data and desktop-derived samples from trustworthy sources. The land cover map has been rigorously validated, achieving an overall accuracy of 86%. This dataset could serve as a base tool in policy formulation, research, and land management applications to enable informed decisions on agricultural policy-making, climate resilience initiatives, and sustainable land use practices.

This dataset contains an aerial image mosaic of the City of Melbourne municipal area. This image provies a 'top down' view of the city and is availible for download in a georeferenced format.

Capture Information - Capture Date: 2nd/3rd February 2019 - Capture Pixel Size: 5cm - Map Projection: MGA Zone 55 (MGA55)

Additional technical information: ArborCarbon collected the aerial image using the ArborCam, a unique 11-band airborne multispectral camera system optimized for the accurate detection of vegetation and subtle changes in vegetation condition. ArborCarbon have created this seamless 5cm pixel resolution RGB mosaic co-registered to the 4-band image.

The multispectral imagery was acquired at 8,000ft above ground level over the City of Melbourne under cloudless conditions between 09:45 and 12:45 on 2nd and 3rd February 2019. Imagery was acquired with the ArborCam system with a ground sample distance (GSD) ranging from 6 cm/pixel to 25 cm/pixel dependent on the band.Preview Image:See an example image showing the data quality of the aerial.Download:Download the aerial image as a ecw file (6GB)

Vicmap Transport provides an accurate representation of the Transport network across Victoria, at a capture scale ranging from 1:2,500 to 1:25,000. It is used in a variety of applications, particularly in emergency services, natural resource management, planning and development, and digital map publications.

Data made available to Vicmap under Cross Border agreements is subject to the maintenance regime of the relevant jurisdiction and is not subject to the same maintenance regime of the Vicmap datasets.

Cross border data made available in Vicmap is not updated regularly and was last updated in January 2012.

CFA captures data on community-based information and education interventions provided by CFA staff and volunteers. These include community meetings, Home Bushfire Advisory Service (HBAS) visits and School Education Programs. Data are captured by location across Victoria to monitor intervention coverage. Many of these interventions were implemented as a result of recommendations made by the 2009 Victorian Bushfire Royal Commission (VBRC). Data are captured since inception of each program (2009-2010).

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party. The dataset title and abstract are presented here as originally supplied.

This dataset contains the digitised boundaries of farm dams in Victoria using a combination of satellite and aerial imagery.

Dataset History

Data Set Source:

The State Government of Victoria commissioned a study to determine the location and impact of farm dams within Victoria. A large part of this study was the location and digitising of farm dam boundaries. For the sections of Northern Victoria within the Murray Darling Basin, these boundaries were created for a Geoscience Australia (GA) project. However, the data of capture for these dams is 2005 +/- 12 months.

To address the data gaps in southern Victoria, all farm dam boundaries outside of the Murray Darling Basin were digitised to the same specifications as the GA data, using imagery from 2009/10. In addition, a sample area of approximately 6000 km2 was chosen in the MDB to investigate the level of change in farm dam development between 2005 and 2009.

Collection Method:

Unknown

Processing Steps:

Unknown

Dataset Citation

Victorian Department of Environment and Primary Industries (2014) Victorian Farm Dam Boundaries. Bioregional Assessment Source Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/311a47f9-206d-4601-aa7d-6739cfc06d61.

This dataset comprises soil property mapping across the whole State of Victoria at 6 prescribed depths. The set depths are 0 to 5 cm, 5 to 15 cm, 15 to 30 cm, 30 to 60 cm, 60 to 100 cm and 100 to …Show full descriptionThis dataset comprises soil property mapping across the whole State of Victoria at 6 prescribed depths. The set depths are 0 to 5 cm, 5 to 15 cm, 15 to 30 cm, 30 to 60 cm, 60 to 100 cm and 100 to 200 cm. The mapped soil properties are pH (1:5 water), EC (dS/m), % clay and soil organic carbon (SOC %). The dataset has been created by the Understanding Soil and Farming Systems project (CMI 102922)and is referred to as Version 1.0 of the Victorian Digital Soil Map (VIC DSM 1.0). Soil point data stored in the Victorian Soil Information System (VSIS) from over 6,000 sites has been standardised to the set depths (using equal area splines or a value weighting derived from the proportional contruibution of each sample to the depth class). This processed data was used to attribute soil land units from a collection of surveys (mapped at 1:100k or better) collated to provide the best map unit coverage across the State. Only data from sites that match the soil type of the dominant soil within the land unit being attributed were used. Sites and land units were assigned an Australian Soil Classification (to the Suborder level) to aid this process. The raw profile data stored in the VSIS (as of March 2013) used to produce these maps were: pH data were either laboratory based (1:5 soil/water suspension) or field pH (Raupach and Tucker 1959). Clay % was laboratory derived particle size data (PSA all methods), or converted field observations of texture class (McKenzie et al. 2000). Organic Carbon measurements methods was either Walkley and Black or Heanes wet oxidation. Electical Conductivity was 1:5 soil/water extract (dS/m). The data is available in polygonal format (i.e. the land units) with soil property median value, standard deviation and assignment qualifier attributes. ESRI grids in ascii format at 100 m cell resolution have been generated from the attributed land unit polygon dataset for each soil property at each depth interval. The assignment qualifiers have been created in order to provide a level of quality evaluation for the soil property assignment to each polygon. Reliability maps generated from these qualifiers have been produced together with each soil property map. The strength of these products is our ability to leverage on the significant investment in soil site and survey mapping data procurement and the capture of tacit knowledge of former soil surveyors. A revised version of these digital soil maps is due to be released at the end of 2014.

The Sands & McDougall dataset is for use on the Victoria Unearthed website and is available for download. This dataset contains the business listings from selected years of the Sands & McDougall …Show full descriptionThe Sands & McDougall dataset is for use on the Victoria Unearthed website and is available for download. This dataset contains the business listings from selected years of the Sands & McDougall directories, a pre-cursor to the Yellow Pages. The dataset was created by digitising the business directories that were published at approximately 10 year intervals between 1896 and 1974. The extracted information includes the business name, address and business type as listed in the Sands & McDougall directories. The extracted address information was subsequently geocoded to provide a point location that can be mapped using GIS software. Additional information has been provided to allow the accuracy of the results to be evaluated with each record containing the data used at each stage of the data capture process; from the extraction from the directory to the final QA checks.

Abstract

The data used to create Vicmap Hydro - Areas Subject to Inundation may not be the latest version available from the source Custodian. Vicmap is published and maintained weekly by Department of Environment, Land, Water & Planning. For the latest version of Vicmap users should visit www.delwp.vic.gov.au/vicmap

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

This dataset series contains line, point & polygon features delineating hydrology. It is a combination of a number of data sets that are a part of Vicmap Hydro. Datasets in the series are listed below. See their metadata entries for more detailed metadata. Features include (but are not limited to); rivers, lakes, dams, reservoirs, marinas, and desalination plants.

Watercourse Network 1:25,000 - Vicmap Hydro (HY_WATERCOURSE);

Water Point 1:25,000 - Vicmap Hydro (HY_WATER_POINT);

Water Area (polygon) 1:25,000 - Vicmap Hydro (HY_WATER_AREA_POLYGON)

Water Structure Point 1:25,000 - Vicmap Hydro (HY_WATER_STRUCT_POINT);

Water Structure Line 1:25,000 - Vicmap Hydro (HY_WATER_STRUCT_LINE);

Water Structure Area (polygon) 1:25,000 - Vicmap Hydro (HY_WATER_STRUCT_AREA_POLYGON);

Navigation Line 1:25,000 - Vicmap Hydro (HY_NAVIGATION_LINE);

Navigation Point 1:25,000 - Vicmap Hydro (HY_NAVIGATION_POINT);

NOTE: If this layer/product is obtained via Data.Vic it will contain only information within the state of Victoria.

Purpose

Vicmap Hydro provides an accurate representation of natural and man made Hydrographic features across Victoria, at a capture scale of 1:25,000. It is used in a variety of applications, particularly in emergency services, natural resource management, planning and development, and digital map publication.

Dataset History

Lineage: Primary

Data Source: The line work and points were derived from the Vicmap Digital Topographic (VDT) map base coordinated by LIG. VDT evolved from Victoria's printed 1:25,000 Topographic Map Series program together with the need to supply a control framework for the creation of the rural Digital Cadastral Mapbase. The capture scale is 1:25,000 Statewide and the coverage, except for minor border issues is also statewide.

Dataset Citation

Victorian Department of Environment and Primary Industries (2014) Vicmap Hydro - Areas Subject to Inundation. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/119e248d-01f6-441d-9675-a20685cc8afa.

**Description: **All features have been included from the Surface Hydrology data capture. 250K Specification Description - Spillway - A channel or duct formed around the side of a reservoir past the end of the dam wall, to convey flood discharge from the watercourse above the reservoir into the watercourse below the dam wall. (Source - http://www.ga.gov.au/mapspecs/topographic/v6/appendixA_files/Drainage.html)

**Copyright Text: **© Commonwealth of Australia (Geoscience Australia) 2017. This product is released under the Creative Commons Attribution 4.0 International Licence. http://creativecommons.org/licenses/by/4.0/legalcode, Surface Hydrology Contributors (Geoscience Australia, NSW Department Land and Property Information, Queensland Department of National Resources and Mines, Victorian Department of Environment, Land, Water and Planning, South Australia Department for Environment, Water and Natural Resources and Tasmanian Department of Primary Industries, Parks, Water and Environment )

The ckanext_datavic_odp_schema extension is designed for CKAN (Comprehensive Knowledge Archive Network) to implement the DataVic Open Data Platform (ODP) schema. This implies it provides specific configurations, customizations, and potentially data validation rules to ensure CKAN datasets conform to the Victorian Government's open data standards. Given the lack of a README, it's reasonable to assume the extension streamlines data publishing and management processes within the DataVic ODP's specific context. Key Features (Inferred): DataVic ODP Schema Implementation: Enforces the DataVic ODP schema requirements for dataset metadata within CKAN, ensuring compliance with government standards. Custom Metadata Fields: Introduces or customizes metadata fields within CKAN to align with the DataVic ODP schema specifications. This ensures that datasets can capture all required information. Data Validation: Includes validation rules to ensure that datasets meet the mandatory requirements of the DataVic ODP schema, enhancing data quality and consistency. User Interface Customization: Potentially customizes the data entry forms within CKAN to make it easier for users to input data in accordance with the schema requirements. Schema Versioning Support: Might offer support for different versions of the DataVic ODP schema if the schema evolves over time, allowing CKAN implementations to adapt to changes. Bulk Schema Updates: Possibly provides features to implement schema changes to existing datasets in bulk using scripts to maintain compliance when updates happen. Use Cases (Inferred) * Government Agencies in Victoria: Organizations within the Victorian Government can utilize this extension to seamlessly publish open datasets conforming to the DataVic ODP using CKAN. * Research Institutions: Research institutions that collaborate with the Victorian government can use the extension to prepare datasets which meet the schema, making data interchange much easier. Technical Integration (Inferred): The extension likely integrates with CKAN through plugins that modify the dataset schema, validation rules, and user interface. It probably hooks into CKAN's existing extension points to add new fields, validation functions, and potentially custom templates for displaying metadata. Customizations may be done within CKAN's configuration files. Benefits & Impact (Inferred): By implementing the ckanext_datavic_odp_schema extension, organizations can significantly simplify the process of publishing open data that complies with Victorian government standards. This improves data discoverability and reusability, it fosters greater transparency and facilitates collaboration, and ensures that datasets conform to the required specifications.