Collection & Analysis

Current facets (Pre-Master)

With research comes data. You will collect a fair amount of data during your project which will have to be analysed. The EDSC offers you support during all stages of the research data life cycle. In your Data Management Plan you have laid out how you will manage your data, now it’s time to collect and analyse.

Collecting data

There are several ways to collect data. You create your own data and/or you (re-)use existing data during your research project. Do you need help finding or accessing existing data for your research? Our Data Librarian can help you to:

  • search for and locate existing data sources,
  • access and use data sources, software tools, and online databases licensed by the Library,
  • purchase “small” data sets as part of our managed collection,
  • understand data documentation and codebooks.

Analysing data

In order to analyse data, model processes or run simulations you need two things: a computer (hardware) and applications or tools (software).

RDM support offers you services and tools for computing and high performance computing (HPC).

  • The University offers a range of desktop tools for data analysis, modelling an simulations: MATLAB, SPSS, SAS, STATA, Phython and many more. You may install these tools on your @wEURk desktop or laptop and some tools can also be installed on your private computer.

    Check the software application catalogue for available software and installing guidance. The licenses of some tools are restricted to researchers from specific faculties. Missing a tool? Ask your ICT-demand manager or contact IT (via ERNA)

  • Erasmus University Rotterdam provides advanced computing power to colleagues that require: 

    • more memory (intensive tasks) than is available on their computer;
    • to perform many tasks (at the same time); 
    • to perform tasks that on a normal computer would take days/weeks. 

    How do I get access to more computer power (computing resources)?

    You can get access to the computing resources by going through the following steps:

    1. Fill in the following form: User Request Form – Computing Resources at SURFsara.
    2. Read and sign the User Agreement Dutch HPC resources.
    3. Send the completely filled in and signed documents to edsc@eur.nl for approval.
    4. After EUR approval send the documents to helpdesk@surfsara.nl
    5. SURFsara will send you further information on your account so that you can start with high performance computing. 

    Which system should I use?

    The following three systems can be used to get access to more computer space or to perform complex tasks: the Lisa system, Cartesius and HPC Cloud. These systems are installed and maintained by SURFsara.

    •  
       The Lisa systemCartesius systemHPC Cloud
      DescriptionA system that offers a large number of multi-core nodes and a fast network enabling efficient parallel programs.The Dutch national supercomputer.Dynamically scalable and fully configurable HPC systems.
      Use caseFor people who are in need of large computing capacities, but do not need the facilities of a real supercomputer.A general purpose capability system.A virtualized HPC cluster that users can configure to match their needs.
      Detailed informationThe Lisa systemCartesiusHPC Cloud

Contact Erasmus Data Service Centre (EDSC)

Email address
Phone
010-408 12 32
Room
Y3-17
Space
Polak Building | Building

Erasmus Data Service Centre. Your research data solution.

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