ArticleF1000Research2017
Funding knowledgebases: Towards a sustainable funding model for the UniProt use case.
Article in F1000Research, 2017. 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.
- The missing link in FAIR data policy: biodata resources in life sciences.Scientific data · 2026Article
- A machine learning-enabled open biodata resource inventory from the scientific literature.PloS one · 2023Article
- Managing the life cycle of a portfolio of open data resources at the SIB Swiss Institute of Bioinformatics.Briefings in bioinformatics · 2022Review
- Data platforms for open life sciences-A systematic analysis of management instruments.PloS one · 2022Article
- Open-source Software Sustainability Models: Initial White Paper From the Informatics Technology for Cancer Research Sustainability and Industry Partnership Working Group.Journal of medical Internet research · 2021Review
- ELIXIR: providing a sustainable infrastructure for life science data at European scale.Bioinformatics (Oxford, England) · 2021Article
- The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences.Bioinformatics (Oxford, England) · 2020Article
- Article
- An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action.F1000Research · 2020Article
- The Alliance of Genome Resources: Building a Modern Data Ecosystem for Model Organism Databases.Genetics · 2019Review
- Quantifying the impact of public omics data.Nature communications · 2019Article
- The grant is dead, long live the data - migration as a pragmatic exit strategy for research data preservation.Wellcome open research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Millions of life scientists across the world rely on bioinformatics data resources for their research projects. Data resources can be very expensive, especially those with a high added value as the expert-curated knowledgebases. Despite the increasing need for such highly accurate and reliable sources of scientific information, most of them do not have secured funding over the near future and often depend on short-term grants that are much shorter than their planning horizon. Additionally, they are often evaluated as research projects rather than as research infrastructure components. In this work, twelve funding models for data resources are described and applied on the case study of the Universal Protein Resource (UniProt), a key resource for protein sequences and functional information knowledge. We show that most of the models present inconsistencies with open access or equity policies, and that while some models do not allow to cover the total costs, they could potentially be used as a complementary income source. We propose the
Indexed as
Identifiers
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.