Skip to main content
To KTH's start page

Collect, store and analyse

There are many different ways to collect, store, and analyze data across various research fields. Therefore, there are numerous subject-specific digital resources you can use in your research, as well as some general services available to you.

Graphic illustration of the research data life cycle with a focus on collect, store and analyse

Upcoming events about research data

Some factors that will require more planning of how to manage data in active research is if you:

  • Work with very large datasets
  • Work with very complex datasets, i.e collected from mulitple sources in various file formats.
  • Collect and process sensitive data
  • Data is shared between multiple people and organisations.

You can read more information about finding data, processing, and storing it in the sections below. Also, see our page about data in collaborative research .

Still have questions? Contact us at researchdata@kth.se.

Find and collect data

Collecting and finding data is a central part of research and decision-making. Below, we go through different ways and platforms to find data.

Analyse and store data in active research

Whenever you work with data in a digital way, data is stored somewhere. In active research data can be stored in different locations depending on if you at work rely on:

  • a local drive or local device
  • a centrally provided cloud filesharing service such as KTH OneDrive
  • storage in KTH's data centers – either through KTH Extended Data Storage  or as storage on a Virtual Server
  • storage and services provided by a research infrastructure, for example, KTH PDC Data Storage  for those with greater computational needs when analysing data
  • at the EU level, university employees also have access to EOSC's cloud services  for file sharing and data analysis
  • services provided by collaboration partner in a research project
  • cloud storage included in analytics software
  • open access web storage solutions

Different types of restrictions may apply that affect what processing and storage solutions that are suitable to use. Some storage solutions may be too slow or too expensive for your use case, while legal restrictions narrow down the choice for software and storage if you work with sensitive data or if you are bound by specific clauses in an agreement. When working with sensitive data, restrictions also apply on how you work and share data – see more on recommendations for working with sensitive data.