Analyzing data about our data

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#RDS2013 presentation by Heather Piwowar

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Heather  Piwowar  @researchremix  cofounder,  ImpactStory.    Postdoc  at  NESCent.

#RDS2013  

Analyzing Data about our Data

some photos NC, SA

We want to understand the impact of our datasets

Something that we data-people often forget:

IMPACT ISN’T JUST CITATIONS

Many types of engagement:

• views• saves• discussions• formal references• recommendations

Many engagement groups:

• researchers• teachers• students• policy makers• practitioners

journal article citation formal reference from a scholar

journal article in-text link formal reference from a scholar

blog in-text link informal discussion from a scholar

tweet in-text link informal discussion from a scholar... or a teacher, student, policy maker, ...

Mendeley, delicious bookmark saveby someonefor some reason :)

GitHub star

recommendationby someone

Analyze Data about our Data

CC-BY-NC by maniacyak on flickrhttp://www.flickr.com/photos/maniacyak/3432589472

Impact flavour

How can we do this?

What is possible now?

What data exists, and how can we analyze it?

Board: Cameron Neylon John Wilbanks

Open metrics, with context, for diverse products.!

Also:

Altmetric.comPlum AnalyticsData Citation Index

1. More data about our data

a) More metrics exposed

b) More support for all types of engagement

Today: full pallet for articles

Tools to support all stages of web-native engagementstill lacking for datasets.

#callToAction

c) more derived metrics, more context

2) More open

OPEN text mining of articlesOPEN data from reposOPEN metrics from aggregators

1. More data about our data2. More open

3. More awareness

Drive demandDrive change

1. More data about our data2. More open3. More awareness

thank you!Jason Priem: cofounder of ImpactStory

Also: Todd Vision, Mike Whitlock, the open science community, and those who release their articles, datasets and photos openly.

blog.ImpactStory.orgteam@ImpactStory.org

@ImpactStory

ImpactStory.org