TU Graz RDM Policy - Faculty-specific Implementation Strategy Template - v4.1 - Guideline

Sep 1, 2026

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TU Graz provides a Faculty-specific Research Data Management (RDM) Implementation Strategy Template to refine the university Framework Policy for disciplinary needs. The document defines roles and responsibilities across the faculty and research lifecycle, aligning efforts with FAIR data practices. It clarifies that data stewardship spans creation to reuse and preservation, and that open sharing may be limited by ethical, legal, or commercial constraints. It sets expectations for training, infrastructure, planning, and long-term documentation accessibility.

LanguageEnglish

CategoryPresentations

FormatDOCX

Pages5

Reading Time2 min

AccessFree to download

Document History of Changes

Preface

Purpose and scope

Research data definition and constraints

Roles and Responsibilities

Faculty Deans

Heads of Institutes

Research Group Leaders

Principal investigators

PhD Supervisors

Individual Researchers

TU Graz RDM Policy: Faculty-specific Implementation Strategy Template v4.1 (17.8.2020) Document History of Changes Preface This Faculty of ___________ Research Data Management Implementation Strategy is part of the Framework Policy for RDM at TU Graz. This document helps refine the broader Framework Policy to optimise it for the disciplinary requirements of each Faculty. It defines data management roles and responsibilities of the different stakeholders within the Faculty, and thus supports effective practices for working with research data at the faculty. The overall aim of these activities are to encourage and support the adoption of FAIR data practices and principles in TU Graz research. This implementation strategy document is supported by the definitions laid down in the Framework Policy, by the roles and responsibilities defined therein, as well as the online provisions and guidelines on Research Data Management made by TU Graz. This document is an aspirational guideline. Implementation will take some years and will depend on the availability of resources. This implementation strategy document recognises that: Individual departments and research groups have different working practices and processes and will therefore require dedicated guidelines. Data stewardship is the entire process of managing research data from its creation to its re-use and preservation and it is not equal to Open Science. While it is beneficial to publish research data openly, there might be valid ethical, legal or commercial implications, which will make data unsuitable for open sharing. Research data might mean different things for different disciplines. Source code, experimental notes, protocols, and other forms of information supporting traditional publications are also within the scope of this policy. For the purposes of this implementation strategy, we understand research data to mean any evidence that underpins research findings (see the Glossary). Roles and Responsibilities Note that the Faculty of ___________ Research Data Management Implementation Strategy document only specifies the Roles and Responsibilities of Faculty-specific stakeholders. The TU Graz Framework Policy for RDM should be consulted about the roles of the Library, ZID, the rectorate and university support areas (e.g. F&T-Haus) at TU Graz. In order to encourage and support the adoption of FAIR data practices and principles at the Faculty of ___________, the faculty hereby specifies the following roles and responsibilities. Faculty Deans are expected to: Develop a vision for FAIR data and data stewardship at the faculty, including the possibilities, guidelines and processes for collaboration between faculty members and data stewards (where available). Further develop and keep up to date this Faculty-specific Implementation Strategy Ensure, in close collaboration with the rectorate, that within their faculty there is appropriate infrastructure and the right tools for researchers to put good discipline-specific data management into practice. Ensure that necessary training and advocacy provisions are available to the faculty, and that researchers are aware of the faculty’s data management implementation strategy and are equipped with adequate skills to adhere to it. Ensure appropriate collaboration between institutes, faculty, and university-level in providing appropriate RDM infrastructure (as detailed in the Framework Policy). Heads of Institutes are expected to: Ensure awareness of FAIR data and good data management practices among all researchers and students within their institute. Develop and implement effective strategies for monitoring and review of data management practices. Ensure appropriate collaboration between institutes, faculty, and university-level in providing appropriate RDM infrastructure (as detailed in the Framework Policy) Research Group Leaders are expected to: Ensure that all members of their research group (including PhD students) are aware of the FAI

FAQs

What is the purpose of the TU Graz Faculty-specific RDM Implementation Strategy template?

It refines TU Graz’s Framework Policy for each Faculty’s disciplinary requirements. It defines roles and responsibilities to encourage adoption of FAIR data practices within the faculty.

How does the document distinguish data stewardship from Open Science?

Data stewardship covers managing research data from creation through reuse and preservation and is not identical to open science. Ethical, legal, or commercial implications may make data unsuitable for open sharing.

What responsibilities do principal investigators have regarding data management?

Every research project must have a data management plan that is regularly updated and followed. Investigators must also adhere to contractual obligations on dataset ownership and rights and ensure resources for good data management.

Sep 1, 2026

Upload by Jacob