research data management (FAIR Infopoint)
The intra-faculty service point at the Faculty of Social and Political Sciences of the University of Innsbruck serves as a contact point for researchers of the faculty to support them in their research data management and the potential archiving of their research data at AUSSDA, the Austrian Social Science Data Archive. The FAIR Infopoint is thus the point of contact for everything concerning research data management as well as the interface between the faculty and AUSSDA.
Specifically, it provides advisory services for questions regarding efficient research data management, the creation of data management plans (DMPs) and support for all steps of the archiving and publication process for datasets at AUSSDA.
In the medium to long term, the establishment of a “common culture of data stewardship” at the faculty is planned.
For the optimal reusability of data, it is important to make it FAIR:
F - Findable
In order to facilitate the automatic retrieval of relevant data records, (meta) data should be easy to find for both humans and machines and be provided with a permanent identifier.
A – Accessible
Restrictions on the use of data and protocols for querying or copying data are made explicit for both humans and machines.
I - Interoperable
(Meta) data should use standardized terms (controlled vocabularies), contain references to other (meta) data and be machine-readable.
R – Re-usable
(Meta) data is so well described that both humans and computers can understand it and have a clear and accessible data usage license.
AUSSDA is a data infrastructure for the social science community in Austria and offers research-supporting services, in particular data archiving and help with data re-use. Social science data is made accessible and reusable for science and society.
The Research Life Cycle (RLC) consists of the following areas
- Planning and design,
- data collection,
- data processing and analysis, and
- archiving, dissemination and re-use of data.
The services begin with advice on the initial planning and design steps at the start of the research process. This includes support with the creation of data management plans (DMPs), basic information on usage rights and the collection of metadata.
In the area of data collection, Open Science provides support with questions regarding the handling of different types of data and the appropriate data formats, the documentation of the procedure and questions regarding the handling of digital data (keywords: storage, file naming, version control).
During the data processing and preparation process, support is provided for questions relating to documentation, data cleaning, transformation and anonymization/pseudonymization of research data. Steps that serve to improve data quality and facilitate subsequent archiving in a repository (e.g. AUSSDA).
If you decide to archive and publish your data at AUSSDA, Open Science at the faculty is in close cooperation with AUSSDA and is your first point of contact. Here, too, the faculty service point provides advice on questions relating to the publication process (keywords: long-term data formats, data protection and copyright, usage rights/license types, metadata) and is intensively involved in this process in cooperation with AUSSDA.
In the following document you will find an outline for the creation of an Informed Consent Form consisting of (1) an 'Information for Participants' and (2) an 'Informed Consent’ segment.
The first section of the outline contains comprehensive information on what content should be included in an information for participants and an informed consent form. Including info bites about relevant legal provisions. Followed by a section on the minimum requirements for an Informed Consent Form. The second section contains text modules for the formulation of an Informed Consent Form.
Please note that these are only exemplary illustrations. The text modules and legal bases must be checked individually for each project and depending on the application must be adapted and quoted accordingly.