10,912,650 research outputs found
Big Data, Big Libraries, Big Problems?: the 2014 LibTech Anti-talk?
No full textThe desire to create automatons is a familiar theme in human history, and during the age of the Enlightenment mechanical automatons became not only an “emblem of the cosmos”, but a symbol of man’s confidence that he would unlock nature’s greatest mysteries and fully harness her power. And yet only a century later, automatons had begun to represent human repression and servitude, a theme later picked up by writers of science fiction. Man’s confidence undeterred, the endgame of the modern scientific and technological mindset, or MSTM, seems to be increasingly coming into view with the rise of “information technology” in general and “Big data” in particular. Along with those who wield them, these can be seen as functioning together as a “mechanical muse” of sorts – surprisingly alluring – and, like a physical automaton can serve as a symbol – a microcosm – of what the MSTM sees (at the very least in practice) as the cosmic machine, our “final frontier”. And yet, individuals who unreflectively participate in these things – giving themselves over to them and seeking the powers afforded by the technology apart from technology’s rightful purposes – in fact yield to the same pragmatism and reductionism those wielding them are captive to. Thus, they ultimately nullify themselves philosophically, politically, and economically – their value increasingly being only the data concerning their persons, and its perceived usefulness. Likewise libraries, the time-honored place of, and symbol for, the intellectual flowering of the individual, will, insofar as they spurn the classical liberal arts (with the idea that things are intrinsically good, and in the case of humans, special as well) in favor of the alluring embrace of MSTM-driven “information technology” and Big data - unwittingly contribute to their irrelevance and demise as they find themselves increasingly less needed, valued, wanted. Likewise for the liberal arts as a whole, and in fact history itself, if the acid of a “science” untethered from what is, in fact, good (intrinsically), continues to gain strengt
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Wikipedia iPod Usability Data
No full textResearch data from usability study of an image of Wikipedia available on the Apple iPod.not peer reviewedSubmitted by James Hahn ([email protected]) on 2009-02-02T21:51:37Z
No. of bitstreams: 1
searchlogB.txt: 1500 bytes, checksum: fa431d183c9f74515bbb55bbd338ade4 (MD5)Approved for entry into archive by Sarah Shreeves([email protected]) on 2009-02-02T22:40:26Z (GMT) No. of bitstreams: 1
searchlogB.txt: 1500 bytes, checksum: fa431d183c9f74515bbb55bbd338ade4 (MD5)Made available in DSpace on 2009-02-02T22:40:26Z (GMT). No. of bitstreams: 1
searchlogB.txt: 1500 bytes, checksum: fa431d183c9f74515bbb55bbd338ade4 (MD5)
Previous issue date: 2008-12-17The author wishes to acknowledge the Research and Publication Committee of the University of Illinois at Urbana-Champaign Library, which provided support for the completion of this research.unpublishe
Privacy and Data Protection Act 2014
No full textThis report establishes a data security regime for all information held by the Victorian public sector.
Authorised Version No. 001 - Privacy and Data Protection Act 2014 - No. 60 of 2014
Authorised Version incorporating amendments as at 17 September 2014
The Parliament of Victoria enacts:
PART 1—PRELIMINARY
1 Purposes
The purposes of this Act are—
(a) to provide for responsible collection and handling of personal information in the Victorian public sector; and
(b) to provide remedies for interferences with the information privacy of an individual; and
(c) to establish a protective data security regime for the Victorian public sector; and
(d) to establish a regime for monitoring and assuring public sector data security; and
(e) to establish the Commissioner for Privacy and Data Protection; and
(f) to repeal the Information Privacy Act 2000 and the Commissioner for Law Enforcement Data Security Act 2005 and make consequential amendments to other Acts
Data for: Author Ranking Evaluation at Scale
No full textThis data consists of two test data sets of researchers that have (1) received one or more prestigious prizes for the long-lasting and high impact contribution to their fields (596 data entries) and (2) author names of ACM fellows (1000 data entries).Each author in the data sets is matched to the corresponding ACM author profileID and multiple Microsoft Academic Graph author entity IDs (name disambiguated). It also includes citation counts, publication counts, download counts from various sources (ACM Digital Library, Google Scholar, Microsoft Academic).THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
The IZA/Fable Data Consumption Indicator
No full textFable Data obtains card payment data directly from various financial institutions across Europe. The ingested data is enriched by proprietary models from Fable Data and is then homogenised and productised to generate a single pan-European dataset that’s updated on a daily basis.
The original dataset includes transaction details such as date and spend amount, as well as customer and merchant information. Cardholders’ demographic details, are also provided. The merchant is identified and classified using a Merchant Category Code, and the location of the merchant is available.
Methodology
Each transaction in the data contains the amount paid, transaction date, and credit card identifier. The construction of the indicator involves collecting and anonymizing credit card transactions from January 2017 to March 2024 to compute a monthly consumption indicator for Germany from January 2018 onwards. The percentage change of monthly aggregate spending from the same month a year ago is computed using a one-year lookback rolling panel methodology.
Availability & Access to Replication Package
Aggregate monthly and quarterly data, along with Python code, are provided to replicate the construction of the IZA / Fable Data Consumption Indicator for Germany. This includes a comparison to official quarterly consumption data for Germany from Eurostat. The microdata used for monthly aggregates originates from Fable Data and is actively researched at the IDSC of IZA
Professor Collection
No full textThis collection gathers data of professors of the Tecnológico de Monterrey, from 1996 to date. Some of the categories of variables that are available in this collection are:
-Sociodemographic data (age, gender, region).
-Academic information (academic program, degree, GPA).
-Teaching profile (academic level, job description, SNI data). <br
Student-Courses Collection
No full textThis collection collects data from students about their academic and training activities at Tecnologico de Monterrey, from 1996 to date.
It consists of 61 variables that are represented in different categories, such as:
- Subject administration (school, division, academic area).
-Subject information (level, subject types, credits, units, schedules).
-Grades (partial and final).
-Group attributes(online,extracurricular activities,period). <br
The vanishing author in computer-generated works: a critical analysis of recent Australian case law
No full textAbstract
The use of software is ubiquitous in the creation of many copyright works, yet the requirement in copyright law that every work have a human author who engages in independent intellectual effort means that its use may prevent copyright subsistence. Several recent Australian cases have refocused attention on authorship as an essential criterion of copyright subsistence, and these cases suggest that much computer-produced output may be authorless and thus lack copyright protection. This article, the first in a two-part series, analyses how each case deals with the question of authorship of computer-produced works and why the use of software diminishes copyright protection for a significant number of computer-generated works. The article critiques the application of conventional notions of human authorship developed in the pre-computer age to modern productions and suggests alternative approaches to authorship that satisfy both the major objectives of copyright policy and the need to adapt to the computer age. The article argues that, without a broader judicial approach to authorship of computer-generated works, Parliament must remedy the lacuna in protection for these ‘authorless’ works. Possible solutions for reform are suggested. In a forthcoming article, the author comprehensively examines those reform proposals
Replication Data Based on the IZA Evaluation Dataset Survey
No full textThe provided dataset contains survey information on the job search behavior of unemployed job seekers based on the IZA Evaluation Dataset Survey. The survey contains information on respondents who were interviewed 7-14 weeks after they became unemployed between June 2007 and May 2008. Besides covering an extensive set of socio-demographic and household characteristics, the survey data allows a detailed analysis of respondents' job search behavior—including the number of job applications, the geographical search radius and the usage of different search channels—and counseling received from their caseworkers. Arni et al. (2014) provide a detailed documentation of the IZA Evaluation Dataset Survey.
Based on the original data including 17,396 individuals, we only select individuals who are still unemployed and are actively searching for employment at the time of the first interview. This reduces the final sample to 12,326 individuals. In addition, please note that the provided dataset only contains variables which are used in the analysis and hence contains a reduced set of variables compared to the IZA Evaluation Dataset Survey as described in Arni et al. (2014).
In a final step, aggregate regional information measured at the time of the survey at respondents’ place of residence as well as indicators of local labor market characteristics was added to the survey data
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