### Crowdsourcing Guidelines for a Successful Data Event #### [Research Data Access & Preservation Summit 2016](http://www.asis.org/rdap/) --- **About the Panel** How does a data librarian initiate, realize, and follow up on a successful institution-wide data event such as the Center for Open Science workshop, Data Carpentry, or Software Carpentry? Who knows how and will share their experiences? Answer: our data librarian peers. Hosting and co-sponsoring a data event are more nuanced than a listserv thread can convey. This panel will formalize a time and space for data librarians to learn from each other about the benefits and pitfalls of institution-wide data events. The panel’s outcome will be a publicly-available guideline for hosting a successful data event. These events attract faculty, researchers, and students with content that targets the research process and often includes a substantial hands-on component. However, drawing an audience and creating an engaging, energizing meeting require significant investments of time, money, and services. These challenges are best met by recruiting co-sponsors, plausibly including Provosts’ and Research Offices and Information Technology. Fortifying partnerships with these units increases the visibility of the library’s data services within the institution. This session will bring together panelists and discussion facilitators experienced with hosting popular data events. During the session’s first 30 minutes, panelists will brief attendees about these events and their potential impact. During the last 60 minutes, panelists and discussion facilitators will lead break-out groups in exploring the elements of a successful event. Attendees will be free to join any group discussing the event that interests them. This format allows attendees to benefit from the spectrum of experience present at the conference. The panel leaders helped organize the first [Midwest Data Librarian Symposium](https://mwdatalibrariansymposium.wordpress.com/). Attendees found this unconference symposium [absorbing and resonant with their work](https://storify.com/jbkieffer/mdls15-all-the-tweets-both-days). The documents resulting from that symposium are [publicly available](http://dc.uwm.edu/mdls/2015/). The panel leaders hope to bring a similar collaborative learning experience to RDAP 2016. --- **Panel Moderator** - Brianna Marshall, University of Wisconsin **Panelists and Discussion Group Facilitators** - Jamene Brooks-Kieffer, University of Kansas | [ORCID][2] - Michelle Hudson, Yale University - Andrew Johnson, University of Colorado Boulder | [ORCID][1] - Mark Laufersweiler, University of Oklahoma | [ORCID][3] - Brianna Marshall, University of Wisconsin - Scott Martin, University of Michigan - Steve Van Tuyl, Oregon State University **Organizers** - Jamene Brooks-Kieffer, University of Kansas - Brianna Marshall, University of Wisconsin --- **Panel Schedule** - 5 min: Introductions by the moderator - 20 min: Descriptions of data events represented by the panelists and facilitators - 5 min: Attendees break into discussion groups led by the panelists and facilitators - 50 min: Groups discuss event-specific details and logistics and address questions; attendees record the discussion on the template provided - 10 min: Wrap-up led by the moderator [1]: http://orcid.org/0000-0002-7952-6536 [2]: http://orcid.org/0000-0001-6280-124X [3]: http://orcid.org/0000-0001-5544-0976