RDM and the Donders Repository
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The document details the research data management (RDM) practices at the Donders Institute, addressing the organization's structure, data workflows, and roles and responsibilities within research projects. It emphasizes the types of data collected and stored, highlighting the importance of managing personal data and ensuring compliance with FAIR principles. Current challenges include governance, funding sustainability, and adapting to future changes in data management practices.
RDM and the Donders Repository
- 1. RDM and the Donders Repository Robert Oostenveld & Eric Maris r.oostenveld@donders.ru.nl e.maris@donders.ru.nl
- 2. Research data management at the Donders What is the organization of the institute? What is the type of research data? Data is organized in research projects What is the data workflow? What are the roles and responsibilities? Collection types How FAIR is this? Demonstration Reflection and questions Current and future challenges Considerations for data stewards of other institutes RDM and the Donders Repository Outline of the presentation
- 3. The DI consists of four centres, representing three faculties and two governing boards, with strong links to other research institutes. Research at the DI is organized along four research themes, involving around 80 principal investigators (PIs) and 500 researchers, which are scattered across the campus. RDM and the Donders Repository http://www.ru.nl/donders/about/organization/ The organization of the Donders Institute (DI) RU DI DCC DCCN DCMN DCN formal chain of management principal investigators researchers
- 4. Estimated 35 TB/year over 100 million files. Heterogeneous with respect to content (different types of biological and behavioural data, analysis scripts, text, …) and file type (DICOM, Excel, MATLAB and Python scripts, Word, …). Note that there is not that much tabular data. Including data from human voluntary subjects (among which patients), of which some potentially allow to identify persons (anatomical MRIs, video, ...). Personal data (name, address, telephone number, ..) are not stored in the DR. RDM and the Donders Repository Research data at the DI
- 5. Although DR can store data of an arbitrary volume, it was designed primarily for research projects at the scale of a single peer-reviewed publication. Projects are identified and managed per center and outside of the DR. Projects must have a unique identifier that is used to link to the associated collections inside the DR . Projects have a clear start and end point. RDM and the Donders Repository See also http://www.ru.nl/donders/research/data/rdm-nutshell/ Data are organized according to research project
- 6. The researcher … 1. Obtains approval for his project 2. Acquires data Uploads a copy of the raw data 3. Analyzes data and writes a manuscript Uploads the analysis scripts and research documentation 4. Publishes his manuscript Uploads the to-be-shared data and receives a DOI 5. Publishes his manuscript Adds the shared data DOI to his publication RDM and the Donders Repository What is the data workflow?
- 7. Centre director decides who is eligible as a collection manager The research administrator initiates a collection in the DR, associates the collection with a project in the center administration, assigns a manager (typically, the responsible PI of the project), specifies the disk quota and embargo duration (when applicable) The collection manager assigns other collection managers, collection contributors and viewers (typically, postdocs, PhD students, Master students, and external collaborators) Collection managers and contributors provide a collection description (e.g. metadata such as title, abstract, keywords) and the collection content (i.e. the data) Collection viewer can access, but not change anything RDM and the Donders Repository What are the roles and responsibilities?
- 8. – Data acquisition collection (DAC) – Research documentation collection (RDC) – Data sharing collection (DSC) DAC and RDC are internal; a closed DSC is an external collection. The difference between DAC and RDC reflects the research at the DI. The specifics of collection types are not a core feature of the DR, but they are not easily configurable either. RDM and the Donders Repository Collection types access after strong authentication (e.g., employee credentials, thorough check) and authorisation by the collection manager access after weak authentication (e.g. Social ID) and the signing of a data use agreement (DUA)
- 9. RDM and the Donders Repository See https://www.force11.org/group/fairgroup/fairprinciples How FAIR is this all? Findable DAC and RDC internally findable, DSC external findable and have DOI (also indexed by RIS, DANS, google). Accessible Authorization linked to authentication and agreement with DUA (for external), or expicit authorization by manager (for internal). Interoperable Limited use of formal ontologies (in metadata) and no such requirements on data, since highly discipline specific. Reusable OK wrt data usage license, but all other aspects are highly discipline specific.
- 10. Web interface for managing collection properties and roles (metadata) please go to http://data.donders.ru.nl/ and sign up File browser interface for managing collection content (data) please go to https://cyberduck.io and install Online training and documentation (help) please go here for configuration instructions RDM and the Donders Repository See http://data.donders.ru.nl Demonstration
- 11. The DI-RDM pilot project has reached a state at which we can say that it is successful, but it is not completely finalized yet. Some topics that are not fully resolved: – Governance of both technical and procedural aspects – Long-term sustainable financial model – Training of researchers – Procedural compliance – How to deal with (future) changes in – the organizational structure – the data workflow RDM and the Donders Repository Current and future challenges
- 12. The DR is meant as an archive system, not as network storage. Access to the data requires separate software (at this moment). The DR website is configurable with respect to a number of DI-specific elements, such as textual information about the research institute, logo, privacy policy, controlled vocabularies, DUAs, …. The DR has some flexibility in organizational structure, but assumes it to be hierarchical (e.g. in our case /RU/Institute/Centre). The DR allows for some flexibility in mapping the research workflow onto different collection types with their own requirements, but this requires ISC software development. The DR business logic with respect to authorization (with distinct responsibilities for centre director, research admin, collection manager, contributor, and viewer) is at the heart of the system, and offers very little flexibility. RDM and the Donders Repository Considerations for data stewards of other institutes
- 13. Are projects well-defined in your institute? Specifically, does a project have a unique identifier in your institute’s administration? Is it clear what the life span of a project is? Is it clear who should be responsible for a given project, also in the long run? Is it clear who should contribute to a project, without being responsible for the project as a whole? Is it clear what are the research data that should be managed (preserved, documented, and shared)? What are the legal constraints on the management of the data? RDM and the Donders Repository See also formal protocols on http://www.ru.nl/donders/research/data/reference-documents/ and other presentations at http://www.ru.nl/donders/research/data/presentations/ Questions for data stewards of other institutes
Editor's Notes
- #11: aan begin registreren deel 1: instemmen met een DUA -> toevoegen als viewer collection details op webdav link klikken -> open in new tab username en OTP invullen en browsen deel 2: ik maak een DAC met Eric als initial manager Eric lost in op Firefox browser Eric maakt de deelnemers contributor dan klikken ze wat rond, veranderen wat attributen deel 3: deelnemers installeren cyberduck configureren cyberduck maken verbinding en voegen iets kleins toe aan hun collectie met Eric wat laten we niet zien - stager - configurable content - emails - user management door research admin - documentatie beperkt