1,720,957 research outputs found
Adzuna panel dataset series: local authority and travel to work areas
No full textOverview:
Adzuna is one of the UK’s most popular vacancy search engines. Adzuna searches thousands of websites to bring together information on millions of advertisements on their service. The Adzuna dataset contains approximately 350 million job adverts from weekly snapshots of Adzuna and the complete Adzuna dataset consists of full point-in-time snapshots with details of all advertisements which were on adzuna.co.uk.
Look up for UBDC derived Adzuna salary variables is an UBDC derivative product of the Adzuna dataset.
This data product is a series of lookup files that researchers can merge to their UBDC-licenced Adzuna data to obtain salary offerings for each advert. The salary offerings are broken down by hourly pay, daily pay, weekly pay and annual salaries.
The method by which the Adzuna research datasets are produced has changed over time so there are two series of the main Adzuna dataset:
Version 1 2016-2023
Version 2 2016-March 2025
Several UBDC derived datasets of the Adzuna product have been created and include:
Look up for UBDC derived Adzuna salary variables dataset
Counts hourly pay Adzuna jobs dataset
Adzuna panel dataset series: local authority and travel to work areas
Adzuna teaching dataset
Adzuna teaching dataset:
The Adzuna Teaching dataset represents a random 20k subsample of adverts appearing on Adzuna in September 2021. It is to be used for teaching purposes. An example of this would be the Urban Analytics Group Project assignment.
To process these data, a random 20k adverts were selected from all waves of data from September 2021 using the ""sample"" function in Pandas, Python.
Following this, Adzuna lookup files pertaining to location, category_id, company_id and normalised_title_id were merged in to each advert. This means that Adzuna Teaching contains all premium Adzuna fields such as SOC, SIC and location.
Methods and Processing – identifying adverts offering hourly, daily, weekly or annual wages
Identifiers for whether an advert offers hourly, daily, weekly pay or an annual salary are not available within the main Adzuna dataset and therefore had to be estimated. To do so, RegEx code was written to identify monetary values within the Adzuna “description” and “salary_raw” variables. Pay frequency was then determined based on the magnitude of the monetary values identified. For example, 1-2 digit monetary values were assumed to be hourly pay, whereas values between £10,000-£199,000 were assumed to be annual salaries.
Since not all monetary values appearing in the “description” variable will relate to an offered salary, separate RegEx code with stricter match criteria was written to apply to this variable.
Access and restrictions:
The Adzuna teaching dataset, as well as other derived datasets based on Adzuna data, are available for non-commercial academic research use only. The data is available to request as Safeguarded data under UBDC's End User Licence.
The "Adzuna panel dataset series: local authority and travel to work areas" data product is only available for licensed users who have an active license for Adzuna data granted by UBDC.
More information:
Details of all Adzuna datasets can be found in the UBDC data catalogue at https://data.ubdc.ac.uk/datasets and information about Adzuna and Adzuna datasets can be found on Adzuna's company website at https://www.adzuna.co.uk/
You might be interested in the Aggregate counts of hourly paying Adzuna vacancies by travel to work areas (TTWA). This is an open dataset available for download at UBDC data catalogue
Counts hourly pay Adzuna jobs
No full textOverview:
Adzuna is one of the UK’s most popular vacancy search engines. Adzuna searches thousands of websites to bring together information on millions of advertisements on their service. The Adzuna dataset contains approximately 350 million job adverts from weekly snapshots of Adzuna and the complete Adzuna dataset consists of full point-in-time snapshots with details of all advertisements which were on adzuna.co.uk.
Counts hourly pay Adzuna jobs dataset is an UBDC derivative product of the Adzuna dataset.
The method by which the Adzuna research datasets are produced has changed over time so there are two series of the main Adzuna dataset:
Version 1 2016-2023
Version 2 2016-March 2025
Several UBDC derived datasets of the Adzuna product have been created and include:
Counts hourly pay Adzuna jobs dataset
Adzuna panel dataset series: local authority and travel to work areas
Adzuna teaching dataset
Counts hourly pay Adzuna jobs dataset:
This data product is a panel dataset that provides a count of the number of Adzuna vacancies that offer an hourly pay rate, by Travel to Work Area (TTWA) and month. Its function is to provide labour market insights into the number of low skilled job offers - as proxied by hourly paying employment – at a high frequency and spatial granularity. TTWAs are geographies created by ONS to approximate self-contained labour market areas.
Content
The dataset covers the period May16-Feb25 and 3 NUTS1 regions: Scotland, Wales and North West England. Each row represents a unique TTWA/month-year combination. Variables included are:
• “month_year” - a month-year identifer.
• “gb-ttwa” - a TTWA identifier
• “gb-itl1” - a NUTS1 identifer
• “vacancies_offering_an_hourly_wage” - a count of the number of vacancies offering an hourly wage.
Note, no data is available for December 2019 due to a technical failure in Adzuna’s snapshotting technology.
Methods and Processing
TTWA and NUTS1 regions are identifiable within the raw Adzuna dataset and are used to construct the panel dataset. Note that Stock-on-Trent and Hexam TTWA are included within the dataset because a small portion of their boundaries overlap North West England ITL1. A more accurate representation of hourly-paying vacancies in North West England can therefore be obtained by excluding these areas.
An identifier for hourly wage paying jobs is not available within the raw Adzuna dataset and therefore had to be estimated. To do so,the researcher wrote RegEx code that identified adverts with a 1 or 2 digit salary listed within the Adzuna “salary_raw” variable (e.g. £8 or £15). The assumption is that 1 or 2 digit salary offers will, in virtually all cases, represent hourly wage offers. This RegEx code also accepts salaries that had 2 digits following a decimal place (e.g. £10.50). It also accounts for salary ranges – for example, £10-£11.50 would be identified as an hourly wage. Adverts mentioning “minimum wage” or “national living wage” within their description are counted as hourly paying jobs
To improve robustness, the researcher wrote RegEx code to search for hourly wage offers within the Adzuna job “description” variable. This identifies hourly wage paying jobs where a value for “salary_raw” is missing. Since 1-2 digit monetary values in job descriptions may not relate to salaries, the code was written to be more conservative in what it accepts as an hourly wage. In particular, it requires that “per hour” or variants of “p.h.” (e.g. “ph”, “p/hr”) appear within 4 words after the 1-2 digit monetary value. Any monetary value followed by “mill”, “bill” or “k” are disregarded.
Access and restrictions:
The Counts hourly pay Adzuna jobs dataset, a derived dataset based on Adzuna data, is available to download as open data.
More information:
Details of all Adzuna datasets can be found in the UBDC data catalogue at https://data.ubdc.ac.uk/datasets and information about Adzuna and Adzuna datasets can be found on Adzuna's company website at https://www.adzuna.co.uk
Adzuna Labour market data Version 2
No full textOverview:
Adzuna is one of the UK’s most popular vacancy search engines. Adzuna searches thousands of websites to bring together information on millions of advertisements on their service.
The Adzuna dataset contains approximately 350 million job adverts from weekly snapshots of Adzuna and the complete Adzuna dataset consists of full point-in-time snapshots with details of all advertisements which were on adzuna.co.uk.
The method by which the Adzuna research datasets are produced has changed over time so there are two series of the main Adzuna dataset:
Version 1 2016 - 2023
Version 2 2016 - March 2025
Several UBDC derived datasets of the Adzuna product have been created and include:
Look up for UBDC derived Adzuna salary variables dataset
Counts hourly pay Adzuna jobs dataset
Adzuna panel dataset series: local authority and travel to work areas
Adzuna teaching dataset
Access and restrictions:
This dataset was part of UBDC's data collections but the data is no longer available. This is a metadata record for research data integrity purposes.
More information:
For more information about how to access this dataset contact Adzuna directly: https://www.adzuna.co.uk
Adzuna Labour market data Version 1
No full textOverview:
Adzuna is one of the UK’s most popular vacancy search engines. Adzuna searches thousands of websites to bring together information on millions of advertisements on their service.
The Adzuna dataset contains approximately 350 million job adverts from weekly snapshots of Adzuna and the complete Adzuna dataset consists of full point-in-time snapshots with details of all advertisements which were on adzuna.co.uk.
The method by which the Adzuna research datasets are produced has changed over time so there are two series of the main Adzuna dataset:
Version 1 2016 - 2023
Version 2 2016 - March 2025
Several UBDC derived datasets of the Adzuna product have been created and include:
Look up for UBDC derived Adzuna salary variables dataset
Counts hourly pay Adzuna jobs dataset
Adzuna panel dataset series: local authority and travel to work areas
Adzuna teaching dataset
Access and restrictions:
This dataset was part of UBDC's data collections but the data is no longer available. This is a metadata record for research data integrity purposes.
More information:
For more information about how to access this dataset contact Adzuna directly: https://www.adzuna.co.uk
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
- …
