1,720,985 research outputs found
Beyond Technical Instruction
No full textAs a data services librarian, I teach workshops on how to use statistical software. In addition to demonstrate step by step techniques and let the students do hands-on exercises, I point them to additional online tutorials and other resources. I also introduce them to principles and best practice of data analysis. Library guides are also set up for students to come back later reviewing the class notes or looking for links to other resources. Based on a feedback survey, this poster will reveal how students think of the usefulness of these different types of contents.Poster Presented in VALE/NJ ACRL/NJLA CUS Fourteenth Annual Users' Conference: Demonstrating Value for Every User, January 2013
Serving the Future E-Science Researchers: Library Computing Data Services for Graduate Students on the Rutgers Newark Campus
No full textThis article was published in Synergy: News from ARL Diversity Programs, Issue 7, and can be accessed at http://www.arl.org/bm~doc/synergy1011.pd
Library 2.011 World-wide Virtual Conference, "The Future of Libraries in the Digital Age", November 2-4, 2011
No full textThe purpose of this paper is to present a conference report on the unique organizational features and the common themes found among the three keynote speeches of the Library 2.011 World Wide Virtual Conference held on the internet on November 2-4, 2011. This report was generated based on the author’s personal participation and observation of a virtual conference and a descriptive method was used to report on and summarize the major subjects of three keynote presentations. The paper finds that Library 2.0 is still a live practice among libraries, and the concept itself has become an inspiring theoretical starting point for re-examining information profession, information literacy, and information management behaviours. This article sorts out the theoretical directions of Library 2.0’s research, which will provide a reflective and guiding tool for evaluating current library practice and designing future innovative library services.The published version of this article is available at: 10.1108/07419051111202637. This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited
Supporting the research process through expanded library data services
No full textPurpose – The purpose of this paper is to describe how the authors gained a better understanding of the variety of library users' data needs, and how gradually some new data services were established based on current capabilities.Design/methodology/approach – This paper uses a case study of the new data services at the John Cotton Dana Library, at Rutgers, The State University of New Jersey, Newark campus, to demonstrate the possible ways to extend data reference services and provide data computing services. A content analysis of services records shows how each user group falls into the multiple data services levels and subcategories.Findings – Library users can be classified into many different categories, and each of these may have different needs. Research centers might have big projects involving data gathering and applications where a librarian can mainly provide consultation; while an individual faculty member or student might need the librarians as research partners, with help for their specific problems. Computing data services can involve group training and statistical analysis assistance, where researchers need emergent help. Data librarians can take various opportunities for data management education, thereby gradually raising awareness and cultivating better research habits among researchers.Originality/value – Library data computing services can make unique contributions to faculty and students' research and study. Institution, library and users' interaction determines the levels and extent of data services and is generalized from the description and analysis of typical data service examples. Classic concept of data services levels is applied to a concrete case of data services program, and sub-categories of each data services level and user types are developed based on the authors' services record.This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here at the RUcore: Rutgers University Community Repository . Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.Peer reviewe
Academic Library, e-Science/e-Research, and Data Services in a Broader Context
No full textIn North America, academic libraries’ data services have recently emerged as a new field during a very interesting time when academic libraries are adjusting themselves to be able to deal with more digital material and at the same time trying to be further involved in the academic research process. The academic world is also undergoing a transformation into a new paradigm of doing research called e-science, which is characterized by data-intensive and networked research. Managing and curating the ever-increasing amount of data seems to be a natural extension of the established function of libraries. However, if we look at the broader landscape of e-science and all the supporting systems that are under development accordingly, we will see more than one model of data services provided by different institutions, or by different combinations of institutions. This paper will summarize these two major e-science support models, both in North America and in Europe. For both data services planners and practitioners, we need more contextual learning about the academic world and the emergence of the e-science paradigm, and a more visionary view of libraries among all the services departments/agencies around us so that we all can better design our academic library services and continue to promote and develop it.Paper presented at the ACRL 2013 Conference in Indianapolis, Indiana, April 10-13, 2013.Wang, Minglu. Academic Library, e-Science/e-Research, and Data Services in a Broader Context. ACRL 2013 Proceedings. http://www.ala.org/acrl/acrl/conferences/2013/paper
Competences and responsibilities of social science data librarians: an analysis of job descriptions
No full textThis study examines job announcements for social science data librarians and professionals to identify trends in the profession. A collection of 167 job postings in 2005–2012 from the International Association for Social Science Information Services &Technology website was analyzed on the frequencies of term occurrence and co-occurrence in job qualifications and responsibilities. The study verifies that employers valued non-technical skills as heavily as technical skills, and detects dissimilar emphases of data activities for data librarians and non-librarian professionals: the former on data discovery and collection, and the latter on data analysis and preservation. An increasing requirement of data management planning was also found for data librarians.Peer reviewe
Data’s Different Missions in E-Science, E-Social Sciences and E-Humanities
No full textData has been closely related to all the e-research fields, be it e-science, e-social sciences or e-humanities. There are increasing amount of descriptive studies on the current data needs of different discipline, there are also best practices of data management developed with the mindset of taking care of data during its whole life cycle. But among all these hot discussions of the opportunities and challenges that data is bringing to the world, there haven't been enough philosophical thoughts or reflections on data's advantages and limitations under the consideration of the different goals of science, social sciences, and humanities' inquiries. This paper will start from Jürgen Habermas' epistemology of knowledge and human interests; then examine different e-research fields and their data usage trends with new theoretical lens of their ultimate missions, that is how well they have helped human beings instrumentally control the world, ideally change the society, and easily understand each other across temporal and spatial dimensions. We could then also have a higher level of vision about what might be possible in the future that data could help each research fields to accomplish.Presented at IASSIST 2012 Conference (International Association of Social Sciences Information Services and Technology), Washington D.C., June 6, 2012
Teaching Data Computing Literacy to Future e-Scientists: From a Critical Literacy Perspective
No full textPresented in Library 2.011 Worldwide Virtual Conference: the Future of Libraries in the Digital Age, November 2011.A recording of this presentation can be found at: http://www.library20.com/page/general-session-room-link
Embedded Data Librarianship: A Case Study of Providing Data Management Support for a Science Department
No full textThis case study details how a data services librarian and a science librarian collaborate to provide embedded data management support for the research-oriented Department of Earth and Environmental Sciences at Rutgers University–Newark. Combining their familiarity with emerging professional practices and resources, their efforts to gain a deeper understanding of the specific data management needs of researchers in the department, and their research into the evolving research data infrastructure in that particular discipline, the two are able to successfully connect researchers with the best practices in data management, suitable data repositories, and experts in the campus’ Computing Services unit.This is an Accepted Manuscript of an article published by Taylor & Francis in Science & Technology Libraries, published online on 24 September 2015, available online: http://www.tandfonline.com/10.1080/0194262X.2015.1085348.Peer reviewe
Required Data Management Training for Graduate Students in an Earth and Environmental Sciences Department
No full textThe increasing importance of data management in the sciences has led the Department of Earth & Environmental Sciences at a research intensive university to work closely with the Physical Sciences Librarian and Data Services Librarian on campus to provide mandatory training to its graduate students. Although integrating data management training into the graduate program curriculum may not be possible, there are still opportunities to ensure students learn such skills prior to graduating. This article describes the four approaches taken thus far – a seminar about basic data management during the department’s weekly seminar series, creation of a Data Profile form that students were asked to complete, an interactive workshop during the department’s annual retreat, and assistance with writing data management plans. Buy-in for requiring data management training was essential from both faculty and students and was possible because both groups understood the value of research data management skills. Also vital to the success of these approaches was how the subject specialist and data librarians leveraged their respective areas of expertise in a complementary fashion to address disciplinary as well as broader data-related concerns.Peer reviewe
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