@article{leonelliOpenDataCuration2016,
  title = {Open Data: Curation Is under-Resourced},
  author = {Leonelli, Sabina},
  date = {2016-10},
  journaltitle = {Nature},
  volume = {538},
  pages = {41},
  issn = {0028-0836},
  doi = {10.1038/538041d},
  url = {http://mfkp.org/INRMM/article/14152736},
  abstract = {[Excerpt] Science funders and researchers need to recognize the time, resources and effort required to curate open data [...]. There is no reliable business model to finance the curation and maintenance of data repositories. [...] Curation is not fully automated for most data types. This means that -- in the life sciences, for example -- many popular databases must resort to time-consuming manual curation to check data quality, reliability, provenance, format and metadata [...]. To make open data effective as a research tool, computational and field-specific skills need to mesh. This will ensure that data infrastructures are user-friendly and resilient in the face of vertiginous developments.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-14152736,~to-add-doi-URL,metadata,metaknowledge,open-data,open-science,research-funding,research-management,research-metrics,rewarding-best-research-practices},
  number = {7623}
}

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