Good for People Toolkit
This is not a specific dataset, but rather the Good for People Toolkit is a spatial modelling framework developed to aid the bringing together and combining of data on a modelling platform producing key evidence for use by Natural Resources Wales (NRW).
This metadata entry can be supplied alongside data outputs although more specific metadata may be written if required for specific outputs.
Outputs from the model could be in the form of spreadsheets, spatial layers or maps, but all require some form of interpretation and knowledge for them to be understood by users.
About the Model:
In 2014, NRW commissioned AECOM to develop a GIS based toolkit that would help to inform decisions around the use and targeting of NRW resources in order to best deliver priorities and outcomes that are "Good for People".
The Good for People GIS Toolkit is a spatial tool designed to help the Good for People programmes and the associated Enabling Plans: Outdoor Access and Recreation; Communities and Regeneration; and Education and Skills.
The toolkit addresses 18 research questions specified by NRW in relation to these plans by allowing data to be viewed in combination. These cover:
Q01 - Deprivation;
Q02 - Physical and Mental Ill-health;
Q03 - Unemployment;
Q04 - Education;
Q05 - Community Facilities;
Q06 - ESTYN (annual inspection report for individual education settings and for educational authorities);
Q07 - NEET and Pre-NEET (Not in Education Employment or Training);
Q08 - Access to Natural Green Space;
Q09 - Urban Tree Canopy Cover;
Q10 - Air Quality;
Q11 - Flooding (criteria not mapped at time);
Q12 - Access to NRW Land;
Q13 - Recreation Provision;
Q14 - Crime and Anti-Social Behaviour;
Q15 - Tourism;
Q16 - Active Travel;
Q17 - Slope;
Q18 - NRW and Partner Managed Land.
The toolkit can be used in a number of different ways. It has been designed to allow users to select the data layers that are most relevant to their purposes. Users can be confident that as an NRW-wide tool all NRW managers will be using the same evidence in a visual format so that plans for different areas can be compared fairly. The Good for People GIS Toolkit should be used where possible to support strategic and operational decision making within NRW in particular to strengthen decisions involving the needs of local communities and the benefits they derive from using and engaging with the natural environment.
- Identification
- Extent
- Distribution
- Quality
- Keywords
- Spatial Reference System
- Content
- Constraints
- Maintenance
- Metadata
Identification
- Identifier
- NRW_DS119284
- Alternative Title
-
- Good for People GIS Toolkit
- Metadata Language
- English
- Lineage
-
The Good for People Toolkit model was developed by AECOM to support the deliver of evidence for the Good for People Programmes. It has been developed through non-technical consultation with different areas of the organisation, helping to define the evidence required by certain departments.
Internal work involved identifying and sourcing what data was available and finding out what staff wanted to use the model for, and develop realistic and achievable questions which needed to be answered. The technical building of the model was completed by AECOM with these requirements in mind. It has been designed to allow users to select the data layers that are most relevant to their purposes. Users can be confident that as an NRW-wide tool, all NRW managers will be using the same evidence in a visual format so that plans for different trial areas can be compared fairly.
There are a number of limitations to how the toolkit can be used, which should be taken into consideration:
> The toolkit cannot make decisions. The user will need to use their own knowledge, experience and 'ground-truthing' in order to interpret the data.
> There are limitations in the data and availability of suitable indicators. While the toolkit uses best available data and indicators there are gaps.
> There is variation in the geographical scale at which the data is available. Most of the data use is at Lower Super Output Area (LSOA) level, but some is less specific and only at, for example, local authority level.
> The toolkit does not provide information about individuals or households. It provides information about small areas.
> When looking at maps using LSOA-Level data on deprivation users need to be careful not to think that a large LSOAs mean there are lots of deprived people living there.
> It has been designed to allow NRW to add in new and updated data layers . However, choices made at the toolkit design stage limit this flexibility.
- Additional Information
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Please see Good for People GIS Toolkit Non-technical User Guide for further details on this and the tools itself, which includes case studies, further information about the limitations and instructions for use.
- Dataset Reference Date (Publication)
- 2014-01-01
Temporal Extent
- Begin date
- 2014-01-01
- Topic category
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- Society
- Environment
- Health
Extent
Extent
- Geographic Extent
- Wales (WLS)
Distribution
- Format Type and Description
-
-
Geographic Information System
(
)
- Specification
-
Modelled outputs can be supplied in as an ESRI Feature Class
-
Geographic Information System
(
)
Quality
Data quality
- Quality Scope
- Dataset
- Lineage
-
The Good for People Toolkit model was developed by AECOM to support the deliver of evidence for the Good for People Programmes. It has been developed through non-technical consultation with different areas of the organisation, helping to define the evidence required by certain departments.
Internal work involved identifying and sourcing what data was available and finding out what staff wanted to use the model for, and develop realistic and achievable questions which needed to be answered. The technical building of the model was completed by AECOM with these requirements in mind. It has been designed to allow users to select the data layers that are most relevant to their purposes. Users can be confident that as an NRW-wide tool, all NRW managers will be using the same evidence in a visual format so that plans for different trial areas can be compared fairly.
There are a number of limitations to how the toolkit can be used, which should be taken into consideration:
> The toolkit cannot make decisions. The user will need to use their own knowledge, experience and 'ground-truthing' in order to interpret the data.
> There are limitations in the data and availability of suitable indicators. While the toolkit uses best available data and indicators there are gaps.
> There is variation in the geographical scale at which the data is available. Most of the data use is at Lower Super Output Area (LSOA) level, but some is less specific and only at, for example, local authority level.
> The toolkit does not provide information about individuals or households. It provides information about small areas.
> When looking at maps using LSOA-Level data on deprivation users need to be careful not to think that a large LSOAs mean there are lots of deprived people living there.
> It has been designed to allow NRW to add in new and updated data layers . However, choices made at the toolkit design stage limit this flexibility.
Keywords
Keywords
- Type
- Theme
Citation
- Date (Publication)
- 2008-06-01
Keywords
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NRW Thesaurus
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- Population distribution and demography
- land cover (landcover)
- habitats (see also specific types of habitats)
- Type
- Theme
Citation
- Date (Publication)
- 2024-06-19
Keywords
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NRW SMNR Keywords
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- Sustainable Management of Natural Resources (SMNR)
- Animals, Plants and Other Organisms (SMNR)
- Water Resources (SMNR)
- Climate (SMNR)
- Soil and Land (SMNR)
- Physical Geography (Physiography) (SMNR)
- Natural Resources (Incl. Features and Processes) (SMNR)
- Type
- Theme
Citation
- Date (Publication)
- 2024-06-26
Spatial Reference System
Content
Content Information
NRW Profile
Custom Elements
Constraints
Constraints
Limitations on Public Access and Use
- Restriction type
- Other restrictions
Access Constraints Directive
- Limitations
- no limitations
Access Constraints Text
- Other constraints
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Raw 3rd Party Data: Some of the underlying raw data is 3rd Party which NRW does NOT have the right to share. Access to this raw 3rd party data may be restricted under relevant legislation. NRW may NOT publish or disseminate the data. Modelled Outputs: However NRW can share the outputs of the model; there are no access restrictions on this derived modelled data, and therefore NRW may release, publish or disseminate it freely.
Use Constraints
- Use constraints type
- Other restrictions
- Other constraints
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© CNC/NRW Raw 3rd Party Data: NRW does NOT grant permission to third parties to re-use or disseminate this dataset. Modelled Outputs: Data may be re-used under the terms of the Open Government Licence providing it is done so, acknowledging both the source and NRW's copyright. It is the recipient's responsibility to ensure the data is fit for the intended purpose.
Attribution Statement
- Other constraints
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Contains Natural Resources Wales information © Natural Resources Wales and Database Right. All rights Reserved.
Licence
- Other constraints
- Open Government Licence
Metadata
Metadata
- File Identifier
- 4f4c4942-4343-5764-6473-313139323834 XML
- Metadata Language
- English
- Resource type
- Dataset
- Metadata Date
- 2024-08-20T15:27:56.008Z
- Metadata Standard Name
- NRW
- Metadata Standard Version
-
1.0