2015 stats roundup

2015While gearing up for the Dryad member meeting (to be held virtually on 24 May – save the date!) and publication of our annual report, we’re taking a look at last year’s numbers.

2015 was a “big” year for Dryad in many respects. We added staff, and integrated several new journals and publishing partners. But perhaps most notably, the Dryad repository itself is growing very rapidly. We published 3,926 data packages this past year — a 44% increase over 2014 — and blew past the 10,000 mark for total data packages in the repository.

Data package size

Perhaps the “biggest” Dryad story from last year is the increase in the mean size of data packages published. In 2014, that figure was 212MB. In 2015, it more than doubled to 481MB, an increase of a whopping 127%.

This striking statistic is part of the reason we opted at the beginning of 2016 to double the maximum package size before overage fees kick in (to 20GB), and simplified and reduced our overage fees. We want researchers to continue to archive more (and larger) data files, and to do so sustainably. Meanwhile, we do continue to welcome many submissions on the smaller end of the scale.

boxplot_logscale_labels

Distribution of Dryad data package size by year. Boxplot shows median, 1st and 3rd quartiles, and 95% confidence interval of median. Note the log scale of the y-axis.

In 2015, the mean number of files in a data package was about 3.4, with 104 as the largest number of files in any data package. To see how times have changed, compare this to a post from 2011 (celebrating our 1,000th submission), where we noted:

Interestingly, most of the deposits are relatively small in size. Counting all files in a data package together, almost 80% of data packages are less than one megabyte. Furthermore, the majority of data packages contain only one data file and the mean is a little less than two and a half. As one might expect, many of the files are spreadsheets or in tabular text format. Thus, the files are rich in information but not so difficult to transfer or store.

We have yet to do a full analysis of file formats deposited in 2015, but we see among the largest files many images and videos, as would be expected, but also a notable increase in the diversity of DNA sequencing-related file formats.

So not only are there now more and bigger files in Dryad, there’s also greater complexity and variety. We think this shows that more people are learning about the benefits of archiving and reusing multiple file types, and that researchers (and publishers) are broadening their view of what qualifies as “data.”

Download counts

2015speciesSo who had the biggest download numbers in 2015? Interestingly, nearly all of last year’s most-downloaded data packages are from genetics/genomics. 3 of the top 5 are studies of specific wild populations and how they adapt to changing circumstances — Sailfin Mollies (fish), blue tits (birds), and bighorn sheep, specifically.

Another top package presents a model for dealing with an epidemic that had a deadly impact on humans in 2015. And rounding out the top 5 is an open source framework for reconstructing the relationships that unite all lineages — a “tree of life.”

In 5th place, with 367 downloads:

In 4th place, with 601 downloads:

In 3rd place, with 1,324 downloads:

In 2nd place, with 1,868 downloads:

And this year’s WINNER, with 2,678 downloads:

The above numbers are presented with the usual caveats about bots, which we aim to filter out, but cannot do with perfect accuracy. (Look for a blog post on this topic in the near future).

As always, we owe a huge debt to our submitters, partners, members and users for supporting Dryad and open data in 2015!

What were the most downloaded data packages in 2014?

The reason why Dryad is in the business of archiving, preserving, and providing access to research data is so that it will be reused, whether for deeper reading of the publication, for post-publication review, for education, or for future research. While it’s not yet as easy as we would like to track data reuse, one metric that is straightforward to collect is the number of times a dataset has been downloaded, and this is one of two data reuse statistics reported by our friends at ImpactStory and Plum Analytics.

2014 with fireworks

The numbers are very encouraging. There are already over a quarter million downloads for the 8,897 data files released in 2014 (from 2,714 data packages). That’s over 28 downloads per data file. While there is always the caveat that some downloads may be due to activity from newly emerged bots that we have yet to recognize and filter out, we think it is safe to say that most of these downloads are from people.

To celebrate, we would like to pay special tribute to the top five data packages from 2014, as measured by the maximum number of downloads for any single file (since many data packages have more than one) at the time of writing. They cover a diversity of topics from livestock farming in the Paleolithic to phylogenetic relationships among insects. That said, we are struck by the impressively strong showing for plant science — 3 of the top 5 data packages.

In 5th place, with 453 downloads

In 4th place, with 581 downloads

In 3rd place, with 626 downloads

In 2nd place, with 4,672 downloads

And in 1st place, with a staggering 34,879 downloads

Remarkably, given the number of downloads, this last data package was only released in November.

We’d like to thank all of our users, whether you contribute data or reuse it (or both), for helping make science just a little more transparent, efficient, and robust this past year. And we are looking forward to finding out some more of what you did with all those downloads in 2015!