ArticleZooKeys2011
Data issues in the life sciences.
Article in ZooKeys, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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Who cites it
29 citing papers in PubMed.
- Integrated data-driven biotechnology research environments.Database : the journal of biological databases and curation · 2025Review
- Artificial intelligence: the human response to approach the complexity of big data in biology.GigaScience · 2025Review
- Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences.Bioinformatics (Oxford, England) · 2022Article
- A streamlined workflow for conversion, peer review, and publication of genomics metadata as omics data papers.GigaScience · 2021Article
- From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences.PLoS biology · 2021Article
- Mining data from legacy taxonomic literature and application for sampling spiders of the Teutamus group (Araneae; Liocranidae) in Southeast Asia.Scientific reports · 2020Article
- Article
- Ten simple rules for surviving an interdisciplinary PhD.PLoS computational biology · 2017Article
- Attitudes and norms affecting scientists' data reuse.PloS one · 2017Article
- The Changing Nature of Scientific Sharing and Withholding in Academic Life Sciences Research: Trends From National Surveys in 2000 and 2013.Academic medicine : journal of the Association of American Medical Colleges · 2016Article
- Challenges with using names to link digital biodiversity information.Biodiversity data journal · 2016Article
- Article
- Integrating and visualizing primary data from prospective and legacy taxonomic literature.Biodiversity data journal · 2015Article
- Corrected data re-harvested: curating literature in the era of networked biodiversity informatics.Biodiversity data journal · 2015Article
- BioDB extractor: customized data extraction system for commonly used bioinformatics databases.BioData mining · 2015Article
- Scientific names of organisms: attribution, rights, and licensing.BMC research notes · 2014Article
- Article
- Cyberdiversity: improving the informatic value of diverse tropical arthropod inventories.PloS one · 2014Article
- Symbiota - A virtual platform for creating voucher-based biodiversity information communities.Biodiversity data journal · 2014Article
- Open exchange of scientific knowledge and European copyright: The case of biodiversity information.ZooKeys · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We review technical and sociological issues facing the Life Sciences as they transform into more data-centric disciplines - the "Big New Biology". Three major challenges are: 1) lack of comprehensive standards; 2) lack of incentives for individual scientists to share data; 3) lack of appropriate infrastructure and support. Technological advances with standards, bandwidth, distributed computing, exemplar successes, and a strong presence in the emerging world of Linked Open Data are sufficient to conclude that technical issues will be overcome in the foreseeable future. While motivated to have a shared open infrastructure and data pool, and pressured by funding agencies in move in this direction, the sociological issues determine progress. Major sociological issues include our lack of understanding of the heterogeneous data cultures within Life Sciences, and the impediments to progress include a lack of incentives to build appropriate infrastructures into projects and institutions or to encourage scientists to make data openly available.
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.