Daten sammeln im Feld: für Forschung und Bürger-Wissenschaft

Field data collection with Mark-a-Spot works on any smartphone or tablet. Research teams define their observation categories, each with custom attributes (species name, condition rating, sample type, or whatever the study requires). Contributors open the map, drop a pin at their location, take a photo, fill in the attributes, and submit. The record carries GPS coordinates from the device, a timestamp, and the photo with its EXIF metadata.

Professional researchers use FieldResearch for structured surveys: biodiversity monitoring across transects, archaeological site inventories, tree health assessments, environmental damage mapping after storms or floods. Citizen science projects use the same tool to mobilize volunteers at scale. A university publishes the map link, participants contribute observations from the field, and the dataset grows without hiring additional staff.

Every observation is accessible through the Open311 API, the same open standard used by cities worldwide. Filter by category, date range, or bounding box. Export to CSV for spreadsheets, GeoJSON for QGIS and ArcGIS, or consume the JSON API directly from R, Python, or any analysis pipeline. The dashboard provides visual summaries and direct download.

Data ownership stays with the project. The platform runs on open standards, so data is never locked in. Multi-language support covers 16 languages, making it suitable for international research collaborations. Photo documentation with GPS metadata provides verifiable evidence chains for regulatory compliance, academic publications, and long-term monitoring programs.