ArticleBiodiversity data journal2019
Connecting data and expertise: a new alliance for biodiversity knowledge.
Article in Biodiversity data journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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Who cites it
18 citing papers in PubMed.
- Experiences from national biodiversity data infrastructures in Europe: advancing data integration and community engagement.Bioscience · 2026Article
- National biodiversity data infrastructures: ten essential functions for science, policy, and practice.Bioscience · 2025Article
- Recent advances in availability and synthesis of the economic costs of biological invasions.Bioscience · 2023Article
- Unified and pluralistic ideals for data sharing and reuse in biodiversity.Database : the journal of biological databases and curation · 2023Article
- Polar biodiversity data: From a national marine platform to a global data portal.Patterns (New York, N.Y.) · 2022Article
- Influence of different data cleaning solutions of point-occurrence records on downstream macroecological diversity models.Ecology and evolution · 2022Article
- Collections Education: The Extended Specimen and Data Acumen.Bioscience · 2022Article
- Data integration enables global biodiversity synthesis.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Towards a Post-Graduate Level Curriculum for Biodiversity Informatics. Perspectives from the Global Biodiversity Information Facility (GBIF) Community.Biodiversity data journal · 2021Article
- Trends and gaps in the use of citizen science derived data as input for species distribution models: A quantitative review.PloS one · 2021Review
- The Atlas of Living Australia: History, current state and future directions.Biodiversity data journal · 2021Article
- Infrastructure and Population of the OpenBiodiv Biodiversity Knowledge Graph.Biodiversity data journal · 2021Article
- Recommendations for connecting molecular sequence and biodiversity research infrastructures through ELIXIR.F1000Research · 2021Article
- Principles for creating a single authoritative list of the world's species.PLoS biology · 2020Article
- The Extended Specimen Network: A Strategy to Enhance US Biodiversity Collections, Promote Research and Education.Bioscience · 2020Article
- Decentralized but Globally Coordinated Biodiversity Data.Frontiers in big data · 2020Article
- Improved standardization of transcribed digital specimen data.Database : the journal of biological databases and curation · 2019Article
- Strengthening the global network for sharing of marine biological collections: recommendations for a new agreement for biodiversity beyond national jurisdiction.ICES journal of marine science : journal du conseilArticle
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There has been major progress over the last two decades in digitising historical knowledge of biodiversity and in making biodiversity data freely and openly accessible. Interlocking efforts bring together international partnerships and networks, national, regional and institutional projects and investments and countless individual contributors, spanning diverse biological and environmental research domains, government agencies and non-governmental organisations, citizen science and commercial enterprise. However, current efforts remain inefficient and inadequate to address the global need for accurate data on the world's species and on changing patterns and trends in biodiversity. Significant challenges include imbalances in regional engagement in biodiversity informatics activity, uneven progress in data mobilisation and sharing, the lack of stable persistent identifiers for data records, redundant and incompatible processes for cleaning and interpreting data and the absence of functional mechanisms for knowledgeable experts to curate and improve data. Recognising the need for greater alignment between efforts at all scales, the Global Biodiversity Information Facility (GBIF) convened the second Global Biodiversity Informatics Conference (GBIC2) in July 2018 to propose a coordination mechanism for developing shared roadmaps for biodiversity informatics. GBIC2 attendees reached consensus on the need for a global alliance for biodiversity knowledge, learning from examples such as the Global Alliance for Genomics and Health (GA4GH) and the open software communities under the Apache Software Foundation. These initiatives provide models for multiple stakeholders with decentralised funding and independent governance to combine resources and develop sustainable solutions that address common needs. This paper summarises the GBIC2 discussions and presents a set of 23 complementary ambitions to be addressed by the global community in the context of the proposed alliance. The authors call on all who are responsible for describing and monitoring natural systems, all who depend on biodiversity data for research, policy or sustainable environmental management and all who are involved in developing biodiversity informatics solutions to register interest at https://biodiversityinformatics.org/ and to participate in the next steps to establishing a collaborative alliance. The supplementary materials include brochures in a number of languages (English, Arabic, Spanish, Basque, French, Japanese, Dutch, Portuguese, Russian, Traditional Chinese and Simplified Chinese). These summarise the need for an
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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.