DCAT in CKAN
UK Data Service » Data Science
by James Lockwood
1y ago
In this post Allan Figueroa, software developer in the UK Data Service Census and International Macrodata team based in Jisc, discusses a new extension that has been implemented into the Census bulk download tool, CKAN. What is CKAN? CKAN (Comprehensive Knowledge Archive Network) is an open-source data portal used for storage and distribution of open data. The UK Data Service uses this portal to provide data for England, Northern Ireland, Scotland and Wales from the 1971, 1981, 1991, 2001, 2011 and 2021/2022 UK censuses. The data can be found in several formats such as docx, pdf, xlsx and mor ..read more
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Organisational Data Maturity? It’s all about the people!
UK Data Service » Data Science
by James Lockwood
1y ago
Sian Basker from Data Orchard discusses organisational data maturity, a tool to assess it and their recently-launched ‘State of the Sector’ report.   Data Orchard has been researching organisational data maturity since 2015.  By ‘Data Maturity’ we mean an organisation’s journey towards improvement and increased capability in using data.  After the first two years exploring what ‘poor’, ‘good’ and ‘great’ looked like (with qualitative in-depth under-the-bonnet exploration, and quantitative research), we published our first theoretical model in 2017. The reality is that data is b ..read more
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Tying together the worlds of business and data science: it’s all about asking the right questions
UK Data Service » Data Science
by Neil Dymond-Green
1y ago
In our ongoing series about how the Jheronimus Academy of Data Science (JADS) brings students together with business, Sandra van den Poll introduces the vital work of the impact team in involving businesses in the educational programmes.   Alongside the education and research team, JADS also has an impact team which focuses on the third pillar of an academic institution: the knowledge exchange between academia and society. This third pillar is rather unknown in the modern academic world but was officially established as a key pillar of Dutch Universities by the Dutch government in 2012. A ..read more
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Part 5: What is next for Twitter data?
UK Data Service » Data Science
by Neil Dymond-Green
1y ago
In this five-part mini series, Joe Allen gets us thinking about the challenges and ethical implications of using Twitter data.        Welcome to the final part of this mini series on the ease and ethics of utilising Twitter data, based on a talk I gave at the NCRM Research Methods e-Festival. In my last post, I discussed who is responsible for tackling the ethical issues surrounding Twitter data use. In this final post, I’ll be considering whether we should be using Twitter data at all, and what steps we can take next. Photo by Joshua Hoehne on Unsplash   Q12: Is Twitt ..read more
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Part 4: Who is responsible for Twitter data?
UK Data Service » Data Science
by Neil Dymond-Green
1y ago
In this five-part mini series, Joe Allen gets us thinking about the challenges and ethical implications of using Twitter data.         This is part four of a five-part series on the ease and ethics of utilising Twitter data, based on a talk I gave at the NCRM Research Methods e-Festival. Today I’m also guest blogging over on the University of Manchester’s Research IT blog, as their post on ‘Analysing Tweets from Twitter’ partly inspired this mini series, so make sure you check out the Research IT blog as well! In the last post, I discussed the ethical review process fo ..read more
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Part 3: Is using Twitter data ethical?
UK Data Service » Data Science
by Neil Dymond-Green
1y ago
In this five-part mini series, Joe Allen gets us thinking about the challenges and ethical implications of using Twitter data.        This is part three of a five-part series on the ease and ethics of utilising Twitter data, based on a talk I gave at the NCRM Research Methods e-Festival. In the last post, I explored the access industry has to Twitter data and the ethics of this access. In my view, Twitter data is personal data, and so any use of it should be subject to ethical review. Twitter as a company does not take responsibility for policing the ethics of Twitter data ..read more
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Part 2: Should industry have access to Twitter data?
UK Data Service » Data Science
by Neil Dymond-Green
1y ago
In this five-part mini series, Joe Allen gets us thinking about the challenges and ethical implications of using Twitter data.        This is the second part of a five-part series on the ease and ethics of utilising Twitter data, based on a talk I gave at the NCRM Research Methods e-Festival. In the last post, I explored the audience’s reactions to an example of “socially good” use of Twitter data. In this post, I will be looking at the audience’s reactions to an example of malicious “for profit” use of Twitter data. Photo by freestocks on Unsplash All data used in this blo ..read more
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Part 1: Should we use Twitter data in academia?
UK Data Service » Data Science
by Neil Dymond-Green
1y ago
In this five-part mini series, Joe Allen gets us thinking about the challenges and ethical implications of using Twitter data. We’ll be publishing one post each day this week, so follow along from now until Friday!     I recently had the pleasure of speaking about Twitter at the NCRM Research Methods e-Festival. In my talk, I focused on the ease and ethics of utilising Twitter data in academic research. In this five-part blog series, I introduce some of the questions I asked the 42 attendees, and my interpretations. A full recording of this talk is available on the UK Data Service Yo ..read more
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Why SDMX matters
UK Data Service » Data Science
by Neil Dymond-Green
1y ago
Eric Anvar, Head of Smart Data at OECD, explains how the Statistical Data and Metadata eXchange (SDMX) standard has improved the new .Stat Suite platform for data producers and users, and considers the potential value of augmenting SDMX usage with Artificial Intelligence (AI).   SDMX stands for Statistical Data and Metadata eXchange. It is an ISO standard developed since 2002 by the official statistics community (primarily international organisations, national statistical offices and central banks) as a way to smooth the exchange of statistical data and metadata. If you know nothing abou ..read more
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