***** To join INSNA, visit http://www.insna.org ***** On the topic of network data repositories: Recently, Aaron Clauset's team in UC Boulder has taken the idea of repositories in a new direction: rather than storing the data, they created a searchable index/catalogue. The system provides metadata, links to the original data, and a curated submission page. https://icon.colorado.edu/ This idea of indexing is highly valuable because the original authors maintain ownership of the data. Moreover, not all data could be put in a public repository because storage requires licensing and creates a legal responsibility. Indexing complements the Data Exchange Network (below), which actually provide peer review and permanent storage. On Wed, Jun 8, 2016 at 4:38 PM, Juergen Pfeffer <[log in to unmask]> wrote: > ***** To join INSNA, visit http://www.insna.org ***** > > Hello Socnetters, > > I would like to invite you to publish your SNA data with Connections. > Deadline for short DEN articles (see details below) for the next issue is > June 20th. But articles are welcome at any time. > > The new Data Exchange Network (DEN) feature of Connections is to meet the > goal of providing citable references for datasets and instruments. The Data > Exchange Network (DEN) will serve as repository for peer-reviewed datasets > in the field of social network analysis. These datasets can be use used in > educational context or for research. The main criteria for acceptance > (beside scientific rigor) is the chance that other researchers in our field > might be interested in the data. > > Submissions must include an electronic version of the network dataset and/or > instrument and a short article (not to exceed 2,500 words) describing the > data being submitted (with a focus on the data collections/preparation > process). These articles need not be as detailed as a full codebook, but > should provide enough information that other researchers may appropriately > use the data. Additionally, the article should contain any information about > the context from which the data were collected that may be relevant to > others for appropriately using the data. All materials submitted for the DEN > will be peer-reviewed to ensure the utility and usability of the > data/instrument. Data should be submitted in the most generic format > possible (preferably in Excel or text files). Accepted DEN contributions > must be described fully and clearly and any threats to validity should be > made transparent. > > Submit article to: [log in to unmask] > > Best wishes, > > Jürgen > > > > --- > > Juergen Pfeffer > > Professor of Computational Social Science & Big Data > > Technical University of Munich / Bavarian School of Public Policy > > www.pfeffer.at > > @JurgenPfeffer > > > > _____________________________________________________________________ SOCNET > is a service of INSNA, the professional association for social network > researchers (http://www.insna.org). To unsubscribe, send an email message to > [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of > the message. -- Alexander "Sasha" Gutfraind, PhD Lecturer - Loyola University Medical Center Adjunct Professor - University of Illinois at Chicago Chief Health Data Scientist, Uptake Technologies _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.