ArticleDatabase : the journal of biological databases and curation2012
Research resources: curating the new eagle-i discovery system.
Article in Database : the journal of biological databases and curation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Article
- Integrated Collection of Stem Cell Bank Data, a Data Portal for Standardized Stem Cell Information.Stem cell reports · 2021Article
- Knowledge Management for Fostering Biostatistical Collaboration within a Research Network: The RTRN Case Study.International journal of environmental research and public health · 2018Article
- The Cellosaurus, a Cell-Line Knowledge Resource.Journal of biomolecular techniques : JBT · 2018Article
- Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data.PLoS biology · 2017Article
- Orchestrating differential data access for translational research: a pilot implementation.BMC medical informatics and decision making · 2017Article
- OOSTT: a Resource for Analyzing the Organizational Structures of Trauma Centers and Trauma Systems.CEUR workshop proceedings · 2016Article
- AirLab: a cloud-based platform to manage and share antibody-based single-cell research.Genome biology · 2016Article
- Raising the standards of stem cell line quality.Nature cell biology · 2016Review
- hPSCreg--the human pluripotent stem cell registry.Nucleic acids research · 2016Article
- Summarizing and visualizing structural changes during the evolution of biomedical ontologies using a Diff Abstraction Network.Journal of biomedical informatics · 2015Article
- Finding collaborators: toward interactive discovery tools for research network systems.Journal of medical Internet research · 2014Article
- The CTSA Consortium's Catalog of Assets for Translational and Clinical Health Research (CATCHR).Clinical and translational science · 2014Article
- Article
- The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation.Journal of biomedical semantics · 2014Article
- Developing a semantically rich ontology for the biobank-administration domain.Journal of biomedical semantics · 2013Article
- Query enhancement through the practical application of ontology: the IEDB and OBI.Journal of biomedical semantics · 2013Article
- On the reproducibility of science: unique identification of research resources in the biomedical literature.PeerJ · 2013Article
- Dealing with data: a case study on information and data management literacy.PLoS biology · 2012Article
- Research Networking Systems: The State of Adoption at Institutions Aiming to Augment Translational Research Infrastructure.Journal of translational medicine & epidemiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Development of biocuration processes and guidelines for new data types or projects is a challenging task. Each project finds its way toward defining annotation standards and ensuring data consistency with varying degrees of planning and different tools to support and/or report on consistency. Further, this process may be data type specific even within the context of a single project. This article describes our experiences with eagle-i, a 2-year pilot project to develop a federated network of data repositories in which unpublished, unshared or otherwise 'invisible' scientific resources could be inventoried and made accessible to the scientific community. During the course of eagle-i development, the main challenges we experienced related to the difficulty of collecting and curating data while the system and the data model were simultaneously built, and a deficiency and diversity of data management strategies in the laboratories from which the source data was obtained. We discuss our approach to biocuration and the importance of improving information management strategies to the research process, specifically with regard to the inventorying and usage of research resources. Finally, we highlight the commonalities and differences between eagle-i and similar efforts with the hope that our lessons learned will assist other biocuration endeavors. DATABASE URL: www.eagle-i.net.
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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.