The experience of becoming a member of a systemic design team

This workshop adopted a sequence of systemically integrated exercises to simulate the different transformational states a group of individuals experience as they transition between being a gathering of individuals, to being a cohesive group, to being a productive team, to becoming a high performance design team. Participants experienced the essence of such transformation along with an intellectual framework tying the experiences into a coherent systemic whole. Participants were presented with a series of guiding schema for the overall workshop and for each of three exercises. The exercises were a combination of individual and group work. The exercise were critiqued on how well participants thought they did meeting the objective of the exercise, which was to experience a change in interrelationships of an emerging systemic design team. The workshop was focused on creating an experience of three significant transformations in the evolution of a design team. It also included each individual reporting out reflectively the essence of their experiences—i.e. what would each participant take away from having had such experiences with others

A Cross-Cultural and Bilingual Experience in LIS Education--A Case Study

This paper describes a case study involving the synchronous delivery of portions of an undergraduate course on web technologies taught across three campuses and in the context of a multicultural learning environment. The case study focuses on issues around internationalization and localization, one portion of the course where students learn techniques for developing Web content that supports multiple locales, languages, and written scripts. Another important component of the case study presentation will report student experiences in engaging in collaborative work using an array of synchronous technologies such as teleconferencing; synchronous multi-modal virtual meeting rooms and the like. This portion of the course provides experiences that students will likely encounter in their future careers, as they find themselves working in organizational contexts that require collaboration over long distances, across languages and cultures, and across national or continental boundaries. The challenges of distributed collaborative work across three cultures and two languages are presented and discussed

Review of Research Data Curation Practices and Attitudes of Stakeholders

Advances in technology have allowed researchers to create large amounts of reusable digital data sets. This phenomenon, e-Research, encompasses not only innovative forms of scholarship in the sciences, but the humanities and social sciences as well (Lynch 2008). While digital data benefits research by permitting new types of problems to be addressed, increases ability to collaborate across disciplines and institutions, and allows for replication of previous results, it is easily lost for future use unless action is taken to manage it from its inception. Data curation is the process of managing digital data from the moment of its creation so that it can be accessed, understood and potentially re-used in the future (Lord and Macdonald 2003). The steps necessary to curate research data have been outlined through the Data Curation Centre’s Curation Lifecycle Model (Digital Curation Centre n.d.). Activities for data management include planning for the creation of data, describing the data using standardized metadata, housing the data set in a repository, creating data management plans, migrating objects as necessary to overcome media decay and format obsolesence, and appraising for selection and deselection. Long-term management of digital data sets is still in its infancy, and numerous issues such as what kind of expertise is needed to properly curate data and how they should be financially provided for into the future when grant money ceases are not fully resolved (Lynch 2008, Lyon 2007). Due to the importance of digital data for research, many librarians have discussed what their future role of librarians may be at academic institutions (Council on Library and Information Resources 2008, ARL 2006, Hey and Hey 2006). The increase in digital research data has created an opportunity for library involvement in data curation (Gold 2007). In response, libraries, universities, and other organizations, have surveyed either researcher’s data curation needs and current practices or library involvement and policies in data curation. However, little research has been conducted on individual librarians to assess current activities in data curation, and, in particular, their attitudes towards it

Non-rectangular towpreg architectures

A shaped towpreg ribbon having a cross-sectional geometry which promotes intimate lateral contact between adjacent composite tows was prepared. The cross-sectional geometry is non-rectangular and promotes intimate lateral contact between adjacent towpreg ribbons during normal processing

The Time Has Come… To Talk About Why Research Data Management Isn’t Easy

For the last decade, academic libraries have talked with each other and with potential partners about their roles in helping to manage research data and their plans to expand or initiate research data services (RDS). Libraries have the capacity to provide these services, but the range and maturity of research data services from libraries vary considerably. In summer 2019, our team surveyed a sample of academic libraries of all sizes who are members of the Association of College and Research Libraries (ACRL) to find out about their current RDS and plans for the future. This study is a follow-up to surveys of this same group in 2012 and 2015. Our findings include the types of RDS currently being offered in academic libraries, the barriers that hinder RDS implementation, and staff capacity for creating RDS

Non-rectangular towpreg architectures

A shaped towpreg ribbon having a cross-sectional geometry which promotes intimate lateral contact between adjacent composite tows was prepared. The cross-sectional geometry is non-rectangular and promotes intimate lateral contact between adjacent towpreg ribbons during normal processing

Research Data Services in Academic Libraries: Data Intensive Roles for the Future?

Objectives: The primary objectives of this study are to gauge the various levels of Research Data Service academic libraries provide based on demographic factors, gauging RDS growth since 2011, and what obstacles may prevent expansion or growth of services. Methods: Survey of academic institutions through stratified random sample of ACRL library directors across the U.S. and Canada. Frequencies and chi-square analysis were applied, with some responses grouped into broader categories for analysis. Results: Minimal to no change for what services were offered between survey years, and interviews with library directors were conducted to help explain this lack of change. Conclusion: Further analysis is forthcoming for a librarians study to help explain possible discrepancies in organizational objectives and librarian sentiments of RDS

Data citation in the wild

Consistent attribution of research data upon reuse is necessary to reward the original data-producing investigators, reconstruct provenance, and inform data sharing policies, tool requirements, and funding decisions. Unfortunately, norms for data attribution are varied and often weak. As part of the DataONE 2010 summer internship program, three interns studied the policies, practice, and implications of current data attribution behavior in the environmental sciences. We found that few policies recommend robust data citation practices: in our preliminary evaluation, only one-third of repositories (n=26), 6% of journals (n=307), and 1 of 53 funders suggested a best practice for data citation. We manually reviewed 500 papers published between 2000 and 2010 across six journals; of the 198 papers that reused datasets, only 14% reported a unique dataset identifier in their dataset attribution, and a partially-overlapping 12% mentioned the author name and repository name. Few citations to datasets themselves were made in the article references section. In multivariate analysis, citation patterns were more correlated with repository (with citations to Genbank being most complete) than journal or datatype. Attribution patterns were found to be steady over time. Consistent with these findings, dataset reuse was difficult to track through standard retrieval resources. Searching by repository name retrieved many instances of data submission rather than data reuse, combing the citation history of data creation articles was time consuming, and searching citation databases for the few early-adopter dataset DOIs and HDLs in reference lists failed due to apparent limitations in database query capabilities and structured extraction of DOIs. We hope these descriptions of the current data attribution environment will highlight outstanding issues and motivate change in policy, tools, and practice. This research was done as open science (http://openwetware.org/wiki/DataONE:Notebook/Summer_2010): ask us about it