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  • × author_ss:"Borgman, C.L."
  1. Borgman, C.L.: Big data, little data, no data : scholarship in the networked world (2015) 0.07
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    Abstract
    "Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
    Content
    Provocations -- What are data? -- Data scholarship -- Data diversity -- Data scholarship in the sciences -- Data scholarship in the social sciences -- Data scholarship in the humanities -- Sharing, releasing, and reusing data -- Credit, attribution, and discovery of data -- What to keep and why to keep them.
    LCSH
    Research / Data processing
    Subject
    Research / Data processing
  2. Borgman, C.L.: ¬The conundrum of sharing research data (2012) 0.05
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    Abstract
    Researchers are producing an unprecedented deluge of data by using new methods and instrumentation. Others may wish to mine these data for new discoveries and innovations. However, research data are not readily available as sharing is common in only a few fields such as astronomy and genomics. Data sharing practices in other fields vary widely. Moreover, research data take many forms, are handled in many ways, using many approaches, and often are difficult to interpret once removed from their initial context. Data sharing is thus a conundrum. Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation. These rationales differ by the arguments for sharing, by beneficiaries, and by the motivations and incentives of the many stakeholders involved. The challenges are to understand which data might be shared, by whom, with whom, under what conditions, why, and to what effects. Answers will inform data policy and practice.
    Date
    11. 6.2012 15:22:29
  3. Borgman, C.L.; Scharnhorst, A.; Golshan, M.S.: Digital data archives as knowledge infrastructures : mediating data sharing and reuse (2019) 0.05
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    Abstract
    Digital archives are the preferred means for open access to research data. They play essential roles in knowledge infrastructures-robust networks of people, artifacts, and institutions-but little is known about how they mediate information exchange between stakeholders. We open the "black box" of data archives by studying DANS, the Data Archiving and Networked Services institute of The Netherlands, which manages 50+ years of data from the social sciences, humanities, and other domains. Our interviews, weblogs, ethnography, and document analyses reveal that a few large contributors provide a steady flow of content, but most are academic researchers who submit data sets infrequently and often restrict access to their files. Consumers are a diverse group that overlaps minimally with contributors. Archivists devote about half their time to aiding contributors with curation processes and half to assisting consumers. Given the diversity and infrequency of usage, human assistance in curation and search remains essential. DANS' knowledge infrastructure encompasses public and private stakeholders who contribute, consume, harvest, and serve their data-many of whom did not exist at the time the DANS collections originated-reinforcing the need for continuous investment in digital data archives as their communities, technologies, and services evolve.
    Date
    7. 7.2019 11:58:22
  4. Borgman, C.L.; Smart, L.J.; Millwood, K.A.; Finley, J.R.; Champeny, L.; Gilliland, A.J.; Leazer, G.H.: Comparing faculty information seeking in teaching and research : implications for the design of digital libraries (2005) 0.02
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    Abstract
    ADEPT is a 5-year project whose goals are to develop, deploy, and evaluate inquiry learning capabilities for the Alexandria Digital Library, an extant digital library of primary sources in geography. We interviewed nine geography faculty members who teach undergraduate courses about their information seeking for research and teaching and their use of information resources in teaching. These data were supplemented by interviews with four faculty members from another ADEPT study about the nature of knowledge in geography. Among our key findings are that geography faculty are more likely to encounter useful teaching resources while seeking research resources than vice versa, although the influence goes in both directions. Their greatest information needs are for research data, maps, and images. They desire better searching by concept or theme, in addition to searching by location and place name. They make extensive use of their own research resources in their teaching. Among the implications for functionality and architecture of geographic digital libraries for educational use are that personal digital libraries are essential, because individual faculty members have personalized approaches to selecting, collecting, and organizing teaching resources. Digital library services for research and teaching should include the ability to import content from common office software and to store content in standard formats that can be exported to other applications. Digital library services can facilitate sharing among faculty but cannot overcome barriers such as intellectual property rights, access to proprietary research data, or the desire of individuals to maintain control over their own resources. Faculty use of primary and secondary resources needs to be better understood if we are to design successful digital libraries for research and teaching.
    Date
    3. 6.2005 20:40:22
  5. Borgman, C.L.; Wofford, M.F.; Golshan, M.S.; Darch, P.T.: Collaborative qualitative research at scale : reflections on 20 years of acquiring global data and making data global (2021) 0.02
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    Abstract
    A 5-year project to study scientific data uses in geography, starting in 1999, evolved into 20 years of research on data practices in sensor networks, environmental sciences, biology, seismology, undersea science, biomedicine, astronomy, and other fields. By emulating the "team science" approaches of the scientists studied, the UCLA Center for Knowledge Infrastructures accumulated a comprehensive collection of qualitative data about how scientists generate, manage, use, and reuse data across domains. Building upon Paul N. Edwards's model of "making global data"-collecting signals via consistent methods, technologies, and policies-to "make data global"-comparing and integrating those data, the research team has managed and exploited these data as a collaborative resource. This article reflects on the social, technical, organizational, economic, and policy challenges the team has encountered in creating new knowledge from data old and new. We reflect on continuity over generations of students and staff, transitions between grants, transfer of legacy data between software tools, research methods, and the role of professional data managers in the social sciences.
    Theme
    Data Mining
  6. Darch, P.T.; Sands, A.E.; Borgman, C.L.; Golshan, M.S.: Library cultures of data curation : adventures in astronomy (2020) 0.02
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    Abstract
    University libraries are partnering with disciplinary data producers to provide long-term digital curation of research data sets. Managing data set producer expectations and guiding future development of library services requires understanding the decisions libraries make about curatorial activities, why they make these decisions, and the effects on future data reuse. We present a study, comprising interviews (n = 43) and ethnographic observation, of two university libraries who partnered with the Sloan Digital Sky Survey (SDSS) collaboration to curate a significant astronomy data set. The two libraries made different choices of the materials to curate and associated services, which resulted in different reuse possibilities. Each of the libraries offered partial solutions to the SDSS leaders' objectives. The libraries' approaches to curation diverged due to contextual factors, notably the extant infrastructure at their disposal (including technical infrastructure, staff expertise, values and internal culture, and organizational structure). The Data Transfer Process case offers lessons in understanding how libraries choose curation paths and how these choices influence possibilities for data reuse. Outcomes may not match data producers' initial expectations but may create opportunities for reusing data in unexpected and beneficial ways.
  7. Borgman, C.L.: What are Digital Libraries? : competing visions (1999) 0.01
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    Source
    Information processing and management. 35(1999) no.3, S.227-243
  8. Borgman, C.L.; Hirsh, S.G.; Hiller, J.: Rethinking online monitoring methods for information retrieval systems : from search product to search process (1996) 0.01
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    Abstract
    Searching information retrieval systems is a highly interactive, iterative process that cannot be understood simply by comparing the output of a search session (the 'search product') to a query stated in advance. In this article, we examine evaluation goals and methods for studying information retrieval behavior, drawing examples from our own research and that of others. We limit our review to research that employs online monitoring, also known as transaction log analysis. Online monitoring is one of few methods that can capture detailed data on the search process at a reasonable cost; these data can be used to build quantitative models or to support qualitative interpretations of quatitative results. Monitoring is a data collection technique rather than a research design, and can be employed in experimental of field studies, whether alone or combined with other data collection methods. Based on the the research questions of interest, the researcher must determine what variables to collect from each data source, which to treat as independent varaibles to manipulate, and which to treat as dependent variables to observe effects. Studies of searching behavior often treat search task and searcher characteristics as independent variables and may manipulate other independent variables specific to the research questions addressed. Search outcomes, time, and search paths frequently are treated as dependent variables. We discuss each of these sets of variables, illustrating them with sample results from the literature and from our own research. Our examples are drawn from the Science Library Catalog project, a 7-year study of children's searching behavior on an experimental retrieval system. We close with a brief discussion of the implications of these results for the design of information retrieval systems
  9. Pepe, A.; Mayernik, M.; Borgman, C.L.; Van de Sompel, H.: From artifacts to aggregations : modeling scientific life cycles on the semantic Web (2010) 0.01
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    Abstract
    In the process of scientific research, many information objects are generated, all of which may remain valuable indefinitely. However, artifacts such as instrument data and associated calibration information may have little value in isolation; their meaning is derived from their relationships to each other. Individual artifacts are best represented as components of a life cycle that is specific to a scientific research domain or project. Current cataloging practices do not describe objects at a sufficient level of granularity nor do they offer the globally persistent identifiers necessary to discover and manage scholarly products with World Wide Web standards. The Open Archives Initiative's Object Reuse and Exchange data model (OAI-ORE) meets these requirements. We demonstrate a conceptual implementation of OAI-ORE to represent the scientific life cycles of embedded networked sensor applications in seismology and environmental sciences. By establishing relationships between publications, data, and contextual research information, we illustrate how to obtain a richer and more realistic view of scientific practices. That view can facilitate new forms of scientific research and learning. Our analysis is framed by studies of scientific practices in a large, multidisciplinary, multi-university science and engineering research center, the Center for Embedded Networked Sensing.
  10. Borgman, C.L.: Multi-media, multi-cultural, and multi-lingual digital libraries : or how do we exchange data In 400 languages? (1997) 0.01
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    Abstract
    The Internet would not be very useful if communication were limited to textual exchanges between speakers of English located in the United States. Rather, its value lies in its ability to enable people from multiple nations, speaking multiple languages, to employ multiple media in interacting with each other. While computer networks broke through national boundaries long ago, they remain much more effective for textual communication than for exchanges of sound, images, or mixed media -- and more effective for communication in English than for exchanges in most other languages, much less interactions involving multiple languages. Supporting searching and display in multiple languages is an increasingly important issue for all digital libraries accessible on the Internet. Even if a digital library contains materials in only one language, the content needs to be searchable and displayable on computers in countries speaking other languages. We need to exchange data between digital libraries, whether in a single language or in multiple languages. Data exchanges may be large batch updates or interactive hyperlinks. In any of these cases, character sets must be represented in a consistent manner if exchanges are to succeed. Issues of interoperability, portability, and data exchange related to multi-lingual character sets have received surprisingly little attention in the digital library community or in discussions of standards for information infrastructure, except in Europe. The landmark collection of papers on Standards Policy for Information Infrastructure, for example, contains no discussion of multi-lingual issues except for a passing reference to the Unicode standard. The goal of this short essay is to draw attention to the multi-lingual issues involved in designing digital libraries accessible on the Internet. Many of the multi-lingual design issues parallel those of multi-media digital libraries, a topic more familiar to most readers of D-Lib Magazine. This essay draws examples from multi-media DLs to illustrate some of the urgent design challenges in creating a globally distributed network serving people who speak many languages other than English. First we introduce some general issues of medium, culture, and language, then discuss the design challenges in the transition from local to global systems, lastly addressing technical matters. The technical issues involve the choice of character sets to represent languages, similar to the choices made in representing images or sound. However, the scale of the language problem is far greater. Standards for multi-media representation are being adopted fairly rapidly, in parallel with the availability of multi-media content in electronic form. By contrast, we have hundreds (and sometimes thousands) of years worth of textual materials in hundreds of languages, created long before data encoding standards existed. Textual content from past and present is being encoded in language and application-specific representations that are difficult to exchange without losing data -- if they exchange at all. We illustrate the multi-language DL challenge with examples drawn from the research library community, which typically handles collections of materials in 400 or so languages. These are problems faced not only by developers of digital libraries, but by those who develop and manage any communication technology that crosses national or linguistic boundaries.
  11. Sullivan, M.V.; Borgman, C.L.: Bibliographic searching by end-users and intermediaries : front-end software vs native DIALOG commands (1988) 0.01
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    Abstract
    40 doctoral student were trained to search INSPEC or ERIC on DIALOG using either the Sci-Mate Menu or native commands. In comparison with 20 control subjects for whom a free search was performed by an intermediary, the experiment subjects were no less satisfied with their retrievals, which were fewer in number but higher in precision than the retrievals produced by the intermediaries. Use of the menu interface did not affect quality of retrieval or user satisfaction, although subjects instructed to use native commands required less training time and interacted more with the data bases than did subjects trained on the Sci-Mate Menu. INSPEC subjects placed a higher monetary value on their searches than did ERIC subjects, indicated that they would make more frequent use of ddata bases in the future, and interacted more with the data base.
  12. Darch, P.T.; Sands, A.E.; Borgman, C.L.; Golshan, M.S.: Do the stars align? : Stakeholders and strategies in libraries' curation of an astronomy dataset (2021) 0.01
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    Abstract
    When developing university-based research data curation services, libraries face critical decisions around organization and sustainability that can affect dataset producers' satisfaction with these services. We present a study, involving interviews (n = 43) and ethnographic observation, of how two libraries partnered with the Sloan Digital Sky Survey (SDSS) to curate a significant astronomy dataset. Each library took different decisions: one library assigned activities to a unit specializing in digital curation, while the other distributed activities across its existing units. Neither approach proved a silver bullet. While library staff members felt the outcomes largely met their expectations, SDSS leaders expressed mixed opinions. We identify three factors that contributed to these differences in perspective: differing strategic motivations for undertaking this Data Transfer Process, SDSS leaders' misperceptions about libraries, and organizational mismatches. These factors contributed to four differences in perspective between SDSS leaders and library staff: provenance as technical information or as information about social context, dataset as a live research object or as a static object to be preserved, systems and services tailored to the dataset or easily adaptable to other datasets, and obstacles as setbacks or as opportunities. Only those differences that emerged when SDSS collaboration members and library staff communicated frequently were resolved.
  13. Borgman, C.L.: Information retrieval from CD-ROM : status quo or a revolution in end-user access? (1987) 0.01
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    Abstract
    CD-ROM data bases are being adopted rapidly by libraries and are being made available to end-users. Compares online information retrieval systems and CD-ROM based retrieval systems, assessing structure and content characteristics that contribute to user behaviour. CD-ROM systems are comparable in database content and in interface style, although CD-ROM systems often provide multiple user interfaces, have smaller databases, less time pressure, and no telecommunications requirements. Some of the differences might lead to better retrieval performance by novice users, but many unanswered questions remain about the influence of time pressure, database size, interface style, training, and skill transfer among systems
  14. Borgman, C.L.: All users of information retrieval systems are not created equal : an exploration into individual differences (1989) 0.01
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    Source
    Information processing and management. 25(1989) no.3, S.237-251
  15. Borgman, C.L.: Automation is the answer, but what is the question? : Progress and prospects for Central and Eastern European libraries (1996) 0.01
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    Abstract
    In the former Yugoslavia and Soviet Bloc countries of Central and Eastern Europe most information technology was unavailable, unaffordable or discouraged for forty years. These countries realise that they must improve their internal infrastructures if they are to become integral parts of the global information infrastructure. We report the results of a mail survey conducted in late 1994 and early 1995 of 70 research libraries in Croatia, Czech Republic, Hungary, Poland, Slovakia and Slovenia, building on the findings from interviews conducted with 300 persons in the region in 1993-1994. Results show that these libraries are acquiring automated processing systems, CD-ROM databases, and connections to computer networks at a rapid rate and that automation activity has increased substantially since 1989
  16. Borgman, C.L.: Will the global information infrastructure be the library of the future? : Central and Eastern Europe as a case example (1996) 0.00
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    Source
    IFLA journal. 22(1996) no.2, S.121-127