OpenAIR@RGU – monthly update (no.3 – March 2017)


Welcome to the third monthly update on OpenAIR@RGU – RGU’s open access institutional repository. Please direct any queries to the team at


We would like to remind researchers of our online guides, which give guidance on a variety of topics around Open Access, including:


The repository currently contains 2,068 records. Some examples of recent additions to the repository include the following outputs:

  • = CRABB, M. and HANSON, V.L. 2016. Dynamic subtitles: the user experience. In the Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video (TVX 2015), 3-5 June 2015, Brussels, Belgium. New York: ACM [online], pages 103-112. Available from:
  • = BANI, N.A., ABDUL-MALEK, Z., MOHD ARIS, S.A., JALIL, S.Z.A., MUHTAZARUDDIN, M.N., MAD KAIDI, H., RAHMAN, S.A.S.A., MUHAMMAD-SUKKI, F., MAS’UD, A.A., ABU-BAKAR, S.H. and ARDILLA REY, J.A. 2016. Frequency dependence of electroluminescence measurement in LDPE. Presented at the International Conference on Electrical, Electronic, Communication and Control Engineering 2016 [ICEECC2016], 18-19 December 2016, Johor Bahru, Malaysia.

Each School currently has the following number of records on OpenAIR (research data is in a separate diagram):




This month, there have been a total of 6,472 downloads from OpenAIR. The most downloaded items include:


  • = TOURISH, D. and HARGIE, O. 2004. Communication audits: building world class communication systems. In OLIVER, S. (ed.) Handbook of Corporate Communication and Public Relations: Pure and Applied. London: Routledge, pages 131-144. (132 downloads)


The most downloaded theses this month include:

  • = VISWANATHAN, A. 2005. Using Orthogonal Arrays to Train Artificial Neural Networks. Robert Gordon University, MPhil thesis. (336 downloads)
  • = SSENDI, L.B. 2013. Entrepreneurship Activities in Rural Tanzania: Understanding Women’s Micro Business. Robert Gordon University, PhD thesis. (142 downloads)
  • = ROBERTSON, D.M. 2012. Critical Thinking and Clinical Reasoning in New Graduate Occupational Therapists: a Phenomenological Study. Robert Gordon University, PhD thesis. (54 downloads)

The above data were correct at the time of writing (28.03.2017).

Using Data from the Internet

Workshop: Collecting and storing data from Internet based sources. Tuesday 9 May 2017, 10.00 – 13.00 Williamson Building, University of Manchester.

Many websites allow researchers and developers to download data from them using their Application Programming Interface (API). This data is often in formats that social scientists are unfamiliar with (e.g. JSON). Downloaded data can be processed immediately or stored in a database for later processing in a package like R or Stata. Data can be collected at regular intervals over a period of time, using the built-in functionality of the Windows or Linux operating systems.  This free introductory workshop, organised by the UK Data Service, is aimed at anyone interested in collecting data from the internet via APIs. Some previous knowledge of programming may assist in understanding the examples.

  • Level: Introductory
  • Experience/knowledge required: Some previous knowledge of programming
  • Target audience: Anyone interested in collecting data from the internet via APIs


UK Data Service – Data on themes

The UK Data Service has web pages to aid researchers looking specifically for data on particular themes:

Ageing Crime Economics Education Environment and energy Ethnicity Food and food security Health and health behaviour Housing and the local environment Information and communication Labour market Politics Poverty and social exclusion

Webinar – Putting data on maps

A free webinar, organised by the UK Data Service, provides an introduction to using mapping libraries in R to create simple geographical visualisations of your data.  The data can be represented on the map in a variety of ways, using pop-ups or colour shading. However before you can do this you need to be able to create the map with appropriate geographical boundaries and to be able to associate your data with the available geographical information of the map. We will look at different data formats such as using longitude and latitude values as well as using shape files. We will use R libraries which generate static maps (essentially an image file) such as ggmap and those which produce more dynamic maps which can be displayed in a web browser such as leaflet.  This webinar is intended for researchers who are familiar with using statistics packages like R or Stata and who would like an introduction to mapping data containing geographical information using the packages available in R.  Date: 4 April 2017, 15.00 – 16.00  Level: Introductory.  Experience/knowledge required: Familiar with using statistics packages like R or Stata.   Target audience: Researchers interested in mapping data