Lortie data citation ignite talk ESA2014
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Lortie data citation ignite talk ESA2014

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For better or worse, citations are here stay. Citations have the capacity to serve as a proxy estimate of uptake or use by the community of ones products. Fortunately, the range of acceptable ...

For better or worse, citations are here stay. Citations have the capacity to serve as a proxy estimate of uptake or use by the community of ones products. Fortunately, the range of acceptable scientific products is rapidly expanding, datasets in many forms continue to serve as pivotal resources, and big data syntheses are reshaping the standards for acceptable derived evidence. Data citations are defined, general rules provided, and the unique elements of datasets described such as versioning and persistent identifiers. The cultural and scientific discovery implications of data citations are also described focusing on emerging linked-data futures.

Citations to publications & select figures
1. H. A. Piwowar, T. J. Vision, M. C. Whitlock, Nature 473, 285 (05/19/print, 2011).
2. H. A. Piwowar, J. D. Carlson, T. J. Vision, Proceedings of the American Society for Information Science and Technology 48, 1 (2011).
3. C. W. Belter, PLoS ONE 9, e92590 (2014).
4. Ş. Kafkas, J.-H. Kim, J. R. McEntyre, PLoS ONE 8, e63184 (2013).
5. H. A. Piwowar, R. S. Day, D. B. Fridsma, PLoS ONE 2, e308 (2007).
6. A. Kenall, S. Harold, C. Foote, BMC Ecology 14, 10 (2014).

Citation to dataset
http://bit.ly/datacitecontrast

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Lortie data citation ignite talk ESA2014 Lortie data citation ignite talk ESA2014 Presentation Transcript

  • data citations
  • building blocks = reproducible science use datasets
  • we need those bricks in repositories but… collect data analyze write publish paper many scientists do this.
  • there are many scientific products collect data analyze write publish paper all can be fundamental to scientific inquiry publish dataset publish data
 descriptor
  • even better collect data analyze write publish paper share datasets firstly publish dataset publish data
 descriptor transparently, collaboratively work & communicate why build alone in secret?
  • why would you do all this?
  • altruistic discourages fraud error identification multiple perspectives training new researchers avoiding duplicate data collection individual citations reciprocity recognition crowdsourcing more publishable units Piwowar et al. 2007
  • evidence sharing data may drive more citations to your papers Piwowar et al. 2007 trials with data were cited about 70% more frequently
  • Citations have the capacity to serve as a proxy estimate of uptake or use by the community of ones products. At least two issues with this assumption. ! Datasets can be independent products. Citations to papers are not everything.
  • Datasets can be well cited Belter 2014
  • At this point in time however, citations to datasets likely underestimate use/reuse. Belter 2014 wide variety of methods used to refer to datasets from formal citation to mentions
  • Piwowar et al. 2011 Manual review was performed for each instance of potential data reuse.
  • Yes, there is a Data Citation Index, a ScienceDirect database linking tool, a stable identifier such as doi for each dataset, and a host of curated repositories.
  • still remains some unique data citation challenges citation to repository dataset, data publication, or primary publication the mechanics of citations
  • in addition to the ongoing development of data citation standards, curation, retrievability, versioning, and meta-data can introduce challenges
  • solutions use a data repository cite you own datasets properly cite databases used/reused in your papers in main literature lists provide meta-data (use EML)
  • OA databases thus become resource benefits of aggregated datasets not only promote better citation practices but provide cross-disciplinary insights Kafkas et al. 2013
  • innovative solution: text mining for ascension numbers Kafkas et al. 2013
  • however, citations are just one indicator of scientific discourse altmetrics & collaboration through other channels are important
  • Recognize value of curation Accelerate synthesis
 Leverage work of others
 Promote open science
 Hone your workflow data citations cite & use datasets in your primary research papers too