lortie data citation ignite talk esa2014
DESCRIPTION
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/datacitecontrastTRANSCRIPT
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
analyzewrite 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?
altruisticdiscourages fraud error identification
multiple perspectives training new researchers
avoiding duplicate data collection
individualcitations
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 synthesisLeverage work of others Promote open science Hone your workflow
data citations
cite & use datasets in your primary research papers too