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| 1 |
ID:
059861
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| Publication |
Englewood cliffs, N J, Prentice-Hall, Inc., 1969.
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| Description |
xi, 146p.
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Prentice- hall series in automatic computation
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Copies: C:1/I:0,R:0,Q:0
Circulation
| Accession# | Call# | Current Location | Status | Policy | Location |
| 003399 | 004/GRU 003399 | Main | On Shelf | General | |
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| 2 |
ID:
149106
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| Summary/Abstract |
Publishing in top-ranking journals in the social sciences and international relations requires writing with clarity. Accurately described and transparent methods sections ensure high-quality academic writing. The methodology section of empirical papers should explain the exact steps taken by the authors when operationalizing concepts and testing hypotheses to facilitate replication. This also allows for monitoring quality, challenging findings, and promoting good scientific practices. The quality of methodology sections is the result of the interaction between academic cultures of data sharing, effective application of rules, and good-quality research data management (RDM). This article evaluates the impact of standards on replicability. We present an empirical analysis of a set of sixty-six articles published during the period 1984–2013 that use data from all waves of the European Values Survey. We find differences demonstrating the impact of good RDM and data policies on good scientific practice.
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| 3 |
ID:
130993
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2014.
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| Summary/Abstract |
The anticipatory turn in managing security and safety relies not only on innovative technological tools, but also on social practice. New information and communication technology, for instance, facilitates digital security governance1 which entails the collection, processing, storage, and sharing of digital personal data for risk profiling, but little is known about the role of security officials in preemptive security. Although people, or "data subjects," are categorized according to a (predefined) level of potential threat on the basis of digital data, it is often unclear which actor or agency was responsible for this categorization. This is especially unclear when information was shared across the globe between several security agencies and/or private companies. Nonetheless, as the assessment of risk or dangerousness affects someone's real-life opportunities, privacy rights or claims to something or someone are likely to be evoked.
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| 4 |
ID:
167375
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| Summary/Abstract |
This article introduces NewGene, a complete redesign of the popular EUGene software. Like its predecessor, NewGene is designed to eliminate many of the difficulties commonly involved in constructing large international relations data sets. NewGene is a stand-alone Microsoft Windows and OSx-based program for the construction of annual, monthly, and daily data sets for a variety of decision-making units (e.g., countries, leaders, organizations) used in quantitative studies of international relations. It also provides users the ability to construct units of analysis ranging from monads (e.g., country-year), to dyads (e.g., country1-country2-year), to extra-dyadic observations called k-ads (e.g., country1-country2-year,…, -countryk-year). NewGene’s purpose is to provide a highly flexible platform on which users can construct data sets for international relations research using preloaded data or by incorporating their own data. The software is freely available at http://www.newgenesoftware.org/.
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