Data collection and storage

Storing data during the project

You have various options for securely storing and sharing smaller and larger amounts of data for a limited time. https://zid.univie.ac.at/en/it-services/store-and-share-data

File formats

To ensure that research data remain readable in the long term, the file formats in which they are stored should be planned even before the data are generated. Initial information on file formats recommended for long-term archiving and basic considerations can be found at https://datamanagement.univie.ac.at/en/about-phaidra/formats/formats-for-longterm-perservation/.

File naming and version control

We offer advice when you need to decide on a file naming scheme and folder structures and want to control versions of your data.

For software development, the Computer Centre (ZID) oiffers a GitLab installation. This makes collaboration easier and source code durable. See https://zid.univie.ac.at/gitlab/

Metadata

Metadata as "data about data" refers to all additional information that is necessary or useful for interpreting the research data. Two examples from everyday life to illustrate this: On a book cover you will find metadata such as author, title, blurb, possibly information on the target group, part of a series, etc. On a tin can you will find various details about ingredients, type of preparation, shelf life, and allergens. In both cases, these details make it easier for you to assess whether the content is interesting for you without having to read the whole book or open the tin. This is just as important for research data.

A good introduction to the different types of metadata and links to other useful resources can be found at https://forschungsdaten.info/themen/beschreiben-und-dokumentieren/metadaten-und-metadatenstandards/ (only in German).

To find out if there are established metadata standards in your field or for the type of research data you have, see the Metadata Standards Catalog at https://rdamsc.bath.ac.uk/ or the "Registry of terminology artefacts, models/formats, reporting guidelines, and identifier schemas" at https://fairsharing.org/standards/.

Information about possible metadata in our repository PHAIDRA can be found at https://datamanagement.univie.ac.at/en/research-data-management/metadata/.

Transkribus

The software tool Transkribus creates transcriptions of handwritten or printed material based on uploaded scans. The text recognition is based on neural networks.

University employees and students can easily apply for credits for using Transkribus for their projects. Courses and support are offered by appointment. There is also the possibility of Topic Modeling for large volumes of data. Find details on https://datamanagement.univie.ac.at/ueber-phaidra-services/transkribus/.

Audio, Video, Motion Capture, Eye Tracking

Our faculty's MediaLab offers a variety of equipment to create data (cameras, microphones, EEG, motion capture, eye tracking...). It also offers courses in audio/video recording and editing. Those are free for PhilKult employees. Students and employees of other departments pay a small fee. You find the current course programme on https://medialab.univie.ac.at/workshops/.

DLBT Digital Library and Bibliography of Literature in Translation and Adaptation

DLBT is developed at the University of Vienna. It's a tool for creating bibliographies of translations/adaptations and reception documents. It is possible to add metadata and full texts. Full texts without copyright restrictions are automatically archived in PHAIDRA. DLBT has many useful features, such as text analysis, import and export, integration of authority files such as VIAF, integration of geodata etc.

If you work in the fields of translation or reception research, independently from the language, DLBT could be a useful tool for you: https://dlbt.univie.ac.at/ and https://datamanagement.univie.ac.at/en/about-phaidra/phaidra-add-ons/

ZID courses for data management and data analysis

The University computer centre (ZID) offers fee-based courses for data management such as data analysis with Python, introduction to R, MAXQDA Basics, reference manager Citavi etc. These are listed in the central course database (chapter "ZID-Kurse").

Digital accessibility

Digital files should be presented in such a way that they can be used by as many people as possible - regardless of possible limitations. Even if this is not always completely feasible, corresponding measures have multiple benefits: One fulfils legal requirements, shows social responsibility and facilitates findability in search engines and machine readability. A first guide on how to make files from PDFs to videos as accessible as possible can be found in a guideline auf https://phaidra.univie.ac.at/o:1594526.

Sending very large files

Students and university employees can use the ACOnet FileSender to transfer very large files up to 250 GB: https://zid.univie.ac.at/en/filesender/