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DECIDE: Delivering Enhanced Biodiversity Information with Adaptive Citizen Science and Intelligent Digital Engagements, 2020-2023
Creator
Dyke, A, University of York
Pateman, R, University of York
Study number / PID
856857 (UKDA)
10.5255/UKDA-SN-856857 (DOI)
Data access
Open
Series
Not available
Abstract
This collection comprises two sets of transcripts of semi structured interviews, one with biological recorders (identified with ‘P’ codes) and the other with end users of biodiversity data collected by biological recorders (Identified with ‘DEU ‘codes). These interviews were recorded in 2021 as a part of the DECIDE project. The biological recorder interviews were collected to understand the motivations and practices of biological recorders with the intention of finding points of leverage where behaviours might be modified to fill gaps in existing data. The end user interviews were designed to understand attitudes to modelled biodiversity data and how this might be used in the work of the interviewees. This information was used to develop use cases for modelled data and to produce data products to fit those use cases. The interviewees were drawn from two areas of the UK, however this information is redacted in order to protect the anonymity of the participants. The DEU interview set contains 33 interviews. The biological recorder interview set contains 32 interviews. Interview topic guides are included alongside the interview transcripts, together with a document showing the participant types in the DEU interviews.
Interviews lasted approximately 0.5-1.5 hours.Biodiversity is under increasing pressure, with consequent impacts on the benefits people gain from nature. This means that it is vital to include biodiversity in our decision-making and for this we need high quality, fine-resolution, spatial biodiversity information. With this information we can better value nature, and this can be done formally through a process called 'natural capital' assessment, such as by government agencies or local economic partnerships. We also need this information to develop better plans for protecting nature, undertaking ecological restoration to develop resilient ecological networks, and make good decisions about infrastructure development (to achieve net biodiversity gain, as...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
30/09/2020 - 29/06/2023
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Text
Data collection mode
Semi structured interviews were conducted either by phone or online. Interviewees were selected using a convenience sample, against a set of criteria to ensure representation across , in the case of recorders, experience levels, and in the case of end users pre identified user types. Recorder interviewees were selected using the existing contacts of project team members, particularly local partners. Recorders were defined as those involved in volunteer effort to collect species abundance data on butterflies, whether through an organised scheme or individually. End user interviewees were also recruited through local partners as well as by doing internet searches of publicly available information for appropriate biodiversity data end users. End users were defined as though using volunteer collected biodiversity data, whether for strategic or operational purposes or for their own personal use.
Funding information
Grant number
NE/V002856/1
Access
Publisher
UK Data Service
Publication year
2024
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.