3,321 research outputs found
A grounded theory approach towards conceptualizing CIS for heterogeneous work communities
The notion of Common Information Space (CIS) is an area that has been gaining attention in the field of Computer Supported Cooperative Work (CSCW) over the last few years. This paper discusses one aspect of the investigation being undertaken to develop the conceptualization of CIS pertaining to heterogeneous work communities. This is based on empirical study of collaborative decision making involving different work communities in an airport of the air traffic control setting. The theory development is founded on the Grounded Theory approach. We present some of the findings of the ongoing analysis. In particular we discuss how the Grounded Theory methodological process has been adapted to this investigation by presenting illustrations of emergent theory development at the theoretical coding phase of the process
Fostering Continuous User Participation by Embedding a Communication Support Tool in User Interfaces
This paper critically reviews previous IS literature on user participation and argues that the literature is mainly empirically or normatively oriented and lacks design research on developing system prototypes in order to foster continuous user participation. It then contributes to the current research by introducing a system prototype, a communication tool that enables users to participate while using their application systems in their work contexts. The prototype provides different communication channels for supporting user-designer communications and knowledge sharing among users with respect to application usage. When integrated in the interface of an application system, the tool can help to adapt and redesign the application. The initial evaluation of the communication tool within the context of an application system indicates its usefulness and usability
Enabling long-term oceanographic research : changing data practices, information management strategies and informatics
Author Posting. © Elsevier B.V., 2008. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Deep Sea Research Part II: Topical Studies in Oceanography 55 (2008): 2132-2142, doi:10.1016/j.dsr2.2008.05.009.Interdisciplinary global ocean science requires new ways of thinking about data and data
management. With new data policies and growing technological capabilities, datasets of
increasing variety and complexity are being made available digitally and data management is
coming to be recognized as an integral part of scientific research. To meet the changing
expectations of scientists collecting data and of data reuse by others, collaborative strategies
involving diverse teams of information professionals are developing. These changes are
stimulating the growth of information infrastructures that support multi-scale sampling, data
repositories, and data integration. Two examples of oceanographic projects incorporating data
management in partnership with science programs are discussed: the Palmer Station Long-Term
Ecological Research program (Palmer LTER) and the United States Joint Global Ocean Flux
Study (US JGOFS). Lessons learned from a decade of data management within these
communities provide an experience base from which to develop information management
strategies â short-term and long-term. Ocean Informatics provides one example of a conceptual
framework for managing the complexities inherent to sharing oceanographic data. Elements are
introduced that address the economies-of-scale and the complexities-of-scale pertinent to a
broader vision of information management and scientific research.Support is provided by NSF OPP-0217282, OCE-0405069, HSD-0433369 and Scripps
Institution of Oceanography (K.S.Baker) and by NSF OCE-8814310, OCE-0097291, OCE-
0510046 and OCE-0646353 (C.Chandler)
Biologists meet statisticians: A workshop for young scientists to foster interdisciplinary team work
Life science and statistics have necessarily become essential partners. The
need to plan complex, structured experiments, involving elaborated designs, and
the need to analyse datasets in the era of systems biology and high throughput
technologies has to build upon professional statistical expertise. On the other
hand, conducting such analyses and also developing improved or new methods,
also for novel kinds of data, has to build upon solid biological understanding
and practise. However, the meeting of scientists of both fields is often
hampered by a variety of communicative hurdles - which are based on
field-specific working languages and cultural differences.
As a step towards a better mutual understanding, we developed a workshop
concept bringing together young experimental biologists and statisticians, to
work as pairs and learn to value each others competences and practise
interdisciplinary communication in a casual atmosphere. The first
implementation of our concept was a cooperation of the German Region of the
International Biometrical Society and the Leibnitz Institute DSMZ-German
Collection of Microorganisms and Cell Cultures (short: DSMZ), Braunschweig,
Germany. We collected feedback in form of three questionnaires, oral comments,
and gathered experiences for the improvement of this concept. The long-term
challenge for both disciplines is the establishment of systematic schedules and
strategic partnerships which use the proposed workshop concept to foster mutual
understanding, to seed the necessary interdisciplinary cooperation network, and
to start training the indispensable communication skills at the earliest
possible phase of education
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