1,721,058 research outputs found
The roles of agency and artifacts in assembling open data complementarities
Get PDFStrong claims are made about the potential of opening government data to drive service innovation. Yet little is known about the detailed processes of how hackers create or reshape services out of new releases of public datasets, and the conditions for the move from data release to service innovation. We argue the utility of open data is accrued through the creation of new artifacts with enhanced performativity transformed by human and material agency. In a multimethod study of the open data hackers in the UK we identified a series of interlocking processes involved in the conversion of public data into services of public value. We found that few of the ‘rapid prototypes’ developed through hack day events are maintained or sustained as service innovations beyond those events. Five artifacts provided the value stack of complementarities: cleaned data available through APIs or bulk downloads, linkable data, shared source code and configuration, source code repositories, and web technologies. Our findings also suggest that only a few open datasets induce the process of change, and that initial contributions are driven by the use values but can only be sustained through an open innovative approach to induce further collaboration within a wider open data community
The promises and perils of open government data
No full textThis editorial essay presents an overview of the contributions in the Special Issue. It also raises critical questions for further research and thinking about Open Government Data.<br/
Open data and charities
No full textOpen data involves a paradigm shift in the way organisations manage their information and data: moving from a default of charities keeping data resources locked up in underused internal systems, to building a shared ‘Web of Data’. The emergence of the open data movement has supported powerful new models of creativity, innovation and public engagement.Although most of the recent stories of progress and success in the open data field come from government and research where open data is more established, this report sets out to explain the ways in which open data is increasingly coming to play a role in the charitable sector. Existing open government data can be used by charities to add value to their work, to target services better, to improve advocacy and fundraising, and to support knowledge sharing and collaboration between different charities and agencies. Crowdsourcing of open data also offers a new way for charities to gather intelligence, and a wide range of freely available online tools can support charities to analyse open data resources. Realising the potential of open data will require charities to meet a number of technical and organisational challenges. Indeed many charities will need to address key issues relating to open data, whether they choose to pursue benefits from open data or not (as regulatory, funding and performance indication is published online by researchers, by government and by others in the sector).This report reviews open data as it relates to the charitable sector, drawing on long experience of developing open data in research and government, as well as early work exploring open data with charities and third-sector organisations. It defines open data, describes the background context of a knowledge economy, and outlines key opportunities and challenges of open data in the charity sector.On the basis of this overview and analysis of the field, the report sets out in more detail a number of options for the further development of open data practices in the charitable sector, via five recommendations derived from the analysis
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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