*TL;DR*
We want to get researchers in a room to experiment with infrastructure for
making open data science easier. We're focusing on three infrastructural
strategies (1) improving metadata and indexing open online community
datasets, (2) an online querying service that makes processing, joining,
and extracting subsets of data easier and (3) defining a protocol for
reporting research methods that will make studies easier to
replicate/extend.
*Title:* Breaking into new Data-Spaces: Infrastructure for Open Community
Science
*Date:* February 27, 2016
*Application deadline:* December 31, 2015
*Conference website:*
http://cscw.acm.org/2016/program/workshops.php#WP-10
*Apply/info:*
https://meta.wikimedia.org/wiki/Research:Breaking_into_new_Data-Spaces
*Participants announced:* January 15, 2016
We encourage you to apply
<https://wikimedia.qualtrics.com/SE/?SID=SV_2bCdc2BGBGAWwmx> to a CSCW 2016
<http://cscw.acm.org/2016/> workshop focused on advancing your ability to
do work with datasets from online communities. We will experiment with
documentation protocols and technologies that are designed to make the
process of “breaking into” a new dataset more tractable for researchers
studying open online communities.
*Who can participate*
Anyone who builds, manages, studies or is interested in studying open
online communities can apply. Fill out our application form and tell us a
bit about your relevant interests and experience.
*Organizers*
Aaron Halfaker, Jonathan Morgan, Yuvaraj Pandian - Wikimedia Foundation
Elizabeth Thiry - Boundless
Kristen Schuster, A.J. Million, Sean Goggins - University of Missouri
William Rand - University of Maryland
David Laniado - Eurecat
*Abstract*
Despite being easily accessible, open online community (OOC) data can be
difficult to use effectively. In order to access and analyze large amounts
of data, researchers must first become familiar with the meaning of data
values. Then they must find a way to obtain and process the datasets to
extract their desired vectors of behavior and content. This process is
fraught with problems that are solved (through great difficulty) over and
over again by each research team/lab that breaks into datasets for a new
OOC.
In this workshop, we'll experiment with documentation protocols and
technologies that are designed to make the process of “breaking into” a new
dataset more tractable for researchers studying open online communities.
This workshop’s purpose is to bring together researchers to test these
systems and discover problems and missed opportunities to support
iteration. Participants will also be given the opportunity to use
state-of-the-art documentation and technologies to break into a new
collection of datasets. This workshop is the direct result of a call to
action to build infrastructure for data sharing between researchers from
past CSCW workshops and related conferences.
For more information and to apply see:
https://meta.wikimedia.org/wiki/Research:Breaking_into_new_Data-Spaces