Meath & Borgue Methods side by side

Published Categorised as Methodology

Here’s a comparative table of the Borgue Field Name Project and the Meath Field Names Project, showing the key steps and differences in methodology across planning, data collection, recording, and digitisation stages.

Both the Borgue and Meath field name projects share a common foundation in combining local knowledge with structured data collection and digital mapping, underpinned by modest funding, local authority expertise, and dedicated technical support. Each evolved through clearly defined phases—initial collection, database recording, and eventual digitisation—drawing on a mix of volunteer effort and professional or council staff input. Both projects were long-term endeavours rather than one-off surveys, with periods of intense activity followed by quieter consolidation phases. While Borgue used an artist’s map and exhibitions to engage the community during the project’s life, Meath produced a more formal legacy in the form of a published book, even before all data had been fully mapped. The key difference lies in emphasis: Borgue had a more fluid, oral-history-driven approach, while Meath’s was structurally rigorous from the outset, with unique field identifiers and a formal database schema.


StageBorgue Field Name ProjectMeath Field Names Project
Project OriginSparked by a 2019 local talk; grassroots-led by local volunteersInitiated earlier (pre-2010); structured under Meath County Council with professional support
Planning & DesignScope manually limited to defined area; OS maps and 1854 maps usedMeath County Council advised; survey sheet and MS Access database designed in advance
Volunteer RoleVolunteers gathered oral data; engaged directly with farmersVolunteers gathered data using standardised forms and numbered maps
Field IdentificationField names matched to visual boundaries manually; some challenges where maps were unclear or oral memory was lostEach field given a unique identifier; systematic field numbering critical to data matching
Recording SystemSpreadsheet-based; compiled with map annotations; shared with analysts for linguistic inputMicrosoft Access database built to enable structured entry, reduce errors, and allow queries
Start of Data EntryCirca 2019–2020; done concurrently with collectionBegan September 2010, continued to Sept 2012
Supplementary SourcesHistorical estate maps (1780s–1800s), OS 1908 field numbers, farm diaries, oral historyChecked official datasets (OSI, PRA, Dept. of Agriculture) – found none suitable
Digitisation ApproachManual overlay of names on modern maps; painted and digital maps createdIntended from start; used MapInfo to align with council GIS; digitisation began 2011
Digitisation TeamInitially local effort; then refined by community collaboratorsStarted with GIS students; completed via professional contract (Mallon Technology, 2012)
GIS OutputInteractive digital map of field names; still in progressFully clickable digital map per townland; integrated with other datasets like field monuments
ChallengesLoss of local memory; reluctance to share; oral variation; data loss if informant passedMap loss = data unlinking; digitisation too large for volunteers; dataset access from agencies limited
Community Outputs & EngagementPainted artist’s map created during project; used for public exhibition panels; strong engagement toolLater published a comprehensive book compiling the survey findings; despite project being incomplete

By philip aye

is an environmental consultant