ArticleBioscience2021
The Use of Digital Platforms for Community-Based Monitoring.
Article in Bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Digital technologies in ethnobiology and ethnoecology: methodological opportunities, ethical challenges, and participatory implications.Journal of ethnobiology and ethnomedicine · 2026Review
- Review
- RUM/FILH: a standardized operational capability model for biodiversity databases.Database : the journal of biological databases and curation · 2026Article
- Improving Access to Primordial and Primary Stroke Prevention: Global Considerations.Journal of the American Heart Association · 2025Review
- Global impact of the COVID-19 lockdown on biodiversity data collection.Scientific reports · 2025Article
- Opening science to society: how to progress societal engagement into (open) science policies.Royal Society open science · 2024Article
- Arctos: Community-driven innovations for managing natural and cultural history collections.PloS one · 2024Article
- Data Sovereignty in Community-Based Environmental Monitoring: Toward Equitable Environmental Data Governance.Bioscience · 2022Article
- Open Data Practices among Users of Primary Biodiversity Data.Bioscience · 2021Article
- The Concept, Practice, Application, and Results of Locally Based Monitoring of the Environment.Bioscience · 2021Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Environmental observing programs that are based on Indigenous and local knowledge increasingly use digital technologies. Digital platforms may improve data management in community-based monitoring (CBM) programs, but little is known about how their use translates into tangible results. Drawing on published literature and a survey of 18 platforms, we examine why and how digital platforms are used in CBM programs and illuminate potential challenges and opportunities. Digital platforms make it easy to collect, archive, and share CBM data, facilitate data use, and support understanding larger-scale environmental patterns through interlinking with other platforms. Digital platforms, however, also introduce new challenges, with implications for the sustainability of CBM programs and communities' abilities to maintain control of their own data. We expect that increased data access and strengthened technical capacity will create further demand within many communities for ethically developed platforms that aid in both local and larger-scale decision-making.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.