research data explored ii: the anatomy and reception of figshare
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www.know-center.at
Research Data Explored II: the Anatomy
and Reception of figshare20th International Conference on Science and Technology Indicators
Lugano, 4 September 2015
Peter Kraker, Elisabeth Lex, Juan Gorraiz,
Christian Gumpenberger, Isabella Peters
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Meet the Project Team
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Isabella Peters
ZBW Leibniz Information Centre
for Economics
Elisabeth Lex
Graz University of Technology
Juan Gorraiz
University of Vienna
Christian Gumpenberger
University of Vienna
Peter Kraker
Know-Center
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Series: Research Data Explored
Analysis of bibliometrics properties
of research data
Part I: “Citations vs. Altmetrics“
(ISSI 2015)
• Analysis of Data Citation Index (DCI)
• Basic analysis for all items published from 1960-2014 (n=3,966,019);
detailed analysis for all items with 2+ citations (n=10,934)
• Results
• Research data mostly uncited (~ 85%)
• Altmetrics “foot-prints” for cited research data is even lower (4-9%)
• Growing trend in citing data sets published since 2008
• None of the items from figshare has received more than one citation in
the DCI
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10.1371/journal.pbio.1001779.g001
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Basic Overview of figshare
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Multidisciplinary repository for research materials
Free storage space for private use (limited) & free storage space
for publicly shared materials under an open license (unlimited)
Publicly shared materials get automatically allocated a DataCite
DOI
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Research Questions
How are document types distributed in figshare? How
have different types developed over time? Who are the
main providers of items in figshare?
How are usage data distributed in figshare? How are
they correlated?
To what extent are figshare items visible on various
altmetrics channels? Do results from providers of
altmetric scores differ?
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Data & Method
Basic metadata for all publicly available records up until
(excluding) December 2, 2014 (n=1,092,808 items)
Descriptive statistics on the following fields: defined_type,
published_date, DOI
Extended metadata for all datasets and filesets with a single DOI
(n=266,961 items)
• Descriptive statistics on the following fields: categories,
downloads, views
• Correlation analysis of downloads and views
Top 500 downloaded/top 500 viewed items analysed with PlumX
and ImpactStory (n=747 unique items)
• Descriptive statistics on coverage and altmetric scores
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figshare datasets are available online:
10.6084/m9.figshare.1320834
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ANALYSIS OF BASIC
METADATA
RESULTS
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Results – DOI Providers
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n=1,092,808 items
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Results – Document Types per Year (2006-2013)
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n=818,108 items
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Results – Document Types per DOI Provider
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n=1,092,667 items
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ANALYSIS OF EXTENDED
METADATA FOR
DATASETS AND FILESETS
RESULTS
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Results – Distribution of Disciplines among Datasets
and Filesets
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n=266,874 items
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Results – Distribution of Downloads/Views for
Datasets and Filesets
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Of 266,961 entries, 102,148 (38.3%)
have 0 views and 0 downloads
Low correlation between downloads
and views – Spearman 0.28
n=266,961 items
95.8% of these are from PLOS
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ANALYSIS OF ALTMETRICS
FOR MOST USED
DATASETS AND FILESETS
RESULTS
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Results – ImpactStory
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n=455 items
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Results – PlumX
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n=757 items
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Results – PlumX
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n=757 items
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CONCLUSIONS
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Study Conclusions
figshare has three different basic functions
1. Personal repository for yet unpublished materials
2. Platform for newly published research materials
3. Archive for PLOS
Different functions are important in the interpretation of results
• Top 3 disciplines overall (datasets & filesets): Biological
Sciences, Chemistry, Earth Sciences (88.9%)
• Top 3 disciplines discarding PLOS: Biological Sciences,
Engineering, Social Science (58.2%)
Most shared type of research material is “image”, not “dataset”
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Study Conclusions
Altmetrics analysis
• Most social media mentions of popular research data on Twitter
• Upward trend in overall altmetrics scores (highest scores in
2014)
• PlumX detects more items and finds higher scores than
ImpactStory
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Series Conclusions (so far…)
General trend towards sharing research data, but most
research data remain not only uncited but also
unviewed/not downloaded
Corresponding altmetrics scores for most cited,
downloaded and viewed research data are very low; overall
the numbers have been increasing within the last 3 years
The results of the comparison of PlumX and ImpactStory
are very similar; in general, comparison of altmetrics tools
is difficult due to the incoherence of tools
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