Digital collections of primary source materials have potential to change how citizen historians and scholars research and engage with local history. The problem at the heart of this study is how to evaluate local history coverage, particularly among large-scale, distributed collections and aggregations. As part of an effort to holistically evaluate one such national aggregation, the Institute of Museum and Library Services (IMLS) Digital Collections and Content (DCC), we conducted a national survey of reference service providers at academic and public libraries throughout the United States. In this paper, we report the results of this survey that appear relevant to local history and collection evaluation, and consider the implications for scalable evaluation of local history coverage in massive, aggregative digital libraries.

The Site-Based Data Curation (SBDC) project is developing a framework of guidelines and processes for the curation of research data generated at scientifically significant sites. SBDC will advance the professional work of curation by articulating principles, workflows and inter-institutional relationships essential for site-based curation. Work to date has concentrated on stakeholder analysis, with results informing metadata guidelines for capture of essential site-based specifics and clarifying the value in aggregating data around site factors for both scientist and YNP stakeholder groups.

Big data challenges have stimulated national and international initiatives in building inter-connected data repositories and integrated data resources as well as long-term data management and data stewardship to support cross-disciplinary scientific data discovery and reuse. To champion such efforts, Johns Hopkins University (JHU) created and developed a new model of data management services (DMS) encompassing a continuum of Storage → Archiving → Preservation → Curation layers to provide data managing and sharing through the JHU Data Archive (DA). To examine this model of data management services, we contextualized the JHU DMS in a case study drawing upon document analysis and interviews with key stakeholders. Our investigation revealed distinct dimensions of the JHU DMS/DA into environmental responsiveness (see Environmental Responsiveness section for explanation), socio-technical readiness, and marketing and collaboration strategies. We further articulated opportunities, challenges and success determinants of the DMS within its institutional context. We intend for the case study to stimulate further discussion and research on alternative options and extensions of the DMS model in other institutions or contexts.

As research data complexity and quantity grows and funding agency requirements for data management are articulated, there is a growing need for data management services (DMS). Within these services, one important role emerging is that of data management consultant (DMC). Roles were analyzed that these professionals play through case study analysis in the context of the Johns Hopkins University (JHU). Findings are reported in terms of the lifecycle of data, the functions of DMCs, the requirements placed upon them, and the roles such individuals play in the success of the DMS. KEYWORDS: data curationdata managementhuman resources Acknowledgments © Virgil E. Varvel, Jr. and Yi Shen

Besides telling a story, the goal with social justice documentaries is to motivate change in people's knowledge and/ or behavior. How can we know if a film has achieved these goals, and how early in the life cycle of a production can we answer this question? The need for reliable, efficient and systematic ways to evaluate the impact of such media products has been repeatedly pointed out by funders, practitioners and researchers. We report on how we have been addressing this need by developing, implementing, applying and evaluating a theoretically-grounded, computational solution for assessing the impact of social justice documentaries in a scalable, empirical and comprehensive fashion. Based on the assumption that documentaries are produced and watched as part of larger and continuously changing ecosystems that involve multiple stakeholders and information, we map, monitor and analyze social and semantic networks that represent these types of entities. We integrate techniques from natural language processing and network analysis for this purpose. We report on a) our theoretical framework and methodology and b) evaluating the performance and usability of our solution by bringing it into real-world application contexts where we have been collaborating with funders and producers to conduct impact assessments. The Center for Children's Books (CCB) Closing the App Gap I planning grant examines the advantages of summer reading programming that includes tablet-based use of apps and e-books with primary-grade children. We're exploring the possibility that tablets can help defray the problem of summer reading loss, the setback of skills over the long summer vacation, a problem particularly evident in low income communities; we're also exploring the role of library tablet use in addressing the " app gap, " the digital divide that leaves low income children with lesser access to tablet and handheld technologies. In this stage of the grant, we are working toward a pilot study at the Douglass Branch Library this summer; en route, we have developed a compilation of existing research and practice guidelines, articulated our selection standards for apps, and begun to design the programming that will form the basis of the pilot study. In this poster (or presentation), we will outline our findings to date and discuss the significant challenges we've discovered in library-based research on young people's practice. We present the preliminary results of an extensive, two-part privacy survey centered around people's knowledge and opinions. Part one, which assesses knowledge using objective third-person scenarios, provides …