Universität Wien

960008 VU FAIR Research Data in the Life Cycle (2023S)

6.00 ECTS (4.00 SWS), Zertifikatskurse
Continuous assessment of course work
REMOTE

Hierbei handelt es sich um ein kostenpflichtiges Angebot der Universitätslehrgänge/Zertifikatskurse des Postgraduate Center. Bitte beachten Sie, dass für die Teilnahme eine Zulassung zum Universitätslehrgang/Zertifikatskurs erforderlich ist. Weitere Informationen zu den Angeboten des Postgraduate Center finden Sie unter: https://www.postgraduatecenter.at/

Details


Information

Aims, contents and method of the course

This module will give students an overview of the typical life cycle of research (data) and help them understand the requirements of research data management during the different stages of research. This module will also address domain-specific research data management aspects. Researchers, as well as experts from the area of research support will discuss various aspects of research data management and data stewardship.

Assessment and permitted materials

Regular attendance and an average grade of all five elective assignments

Minimum requirements and assessment criteria

Regular attendance and an average grade of all five elective assignments.
Grading Key: from 1=excellen to 5=insufficient

Examination topics

Literature and topics of the lessons

Reading list

PM² Project management methodology Guide 3.0.1 (download for free here!), pages 42-47 (project management plans), 57-59 (main implementation phase), 101-104 (Project Management Tools & Techniques)
Guidelines FWF Stand-Alone Projects: https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-projects
FWF Open Access to Research Data Guidelines
Managing and sharing data by UK Data Archive, http://www.data-archive.ac.uk/media/2894/managingsharing.pdf
Guidance for researchers from centers like the one at TUW: https://www.tuwien.at/en/research/rti-support/research-data/center-for-rdm
Barend Mons, Data Stewardship for Open Science: Implementing FAIR Principles, 10.1201/9781315380711
FFG-Akadmie: Der Data Management Plan (DMP) in Horizon 2020 (Webinar) https://www.ffg.at/europa/veranstaltungen/ffg-akademie_2017-10-18
William K. Michener, Ten Simple Rules for Creating a Good Data Management Plan. PLoS computational biology, 2015 http://dx.doi.org/10.1371/journal.pcbi.1004525
Tomasz Miksa, S. Simms, D. Mietchen, and S. Jones. Ten Principles for Machine-actionable Data Management Plans. PLoS computational biology, 2019 https://doi.org/10.1371/journal.pcbi.1006750
Frazer, M. (14 January 2013). An Elevator Pitch for File Naming Conventions. ACRL Tech. Connect blog. Retrieved from https://acrl.ala.org/techconnect/post/an-elevator-pitch-for-file-naming-conventions/
Auffinden, Zitieren, Dokumentieren: Forschungsdaten in Den Sozial- Und Wirtschaftswissenschaften ; [Version 2]. 2. Auflage. Hamburg : ZBW, 2015. Retrieved from https://auffinden-zitieren-dokumentieren.de/
KeePass: Retrieved from https://keepass.info/
VENKATARAMAN, Shanmugasundaram, & Moura, Paula. (2020). Raw data, backup and versioning: What you need to know to preserve your research data. Zenodo. Retrieved from https://doi.org/10.5281/zenodo.4041557
Carlson, Jake, "The Data Curation Profiles Toolkit: The Profile Template" (2010). Data Curation Profiles Toolkit. Paper 4. Retrieved from http://dx.doi.org/10.5703/1288284315653
Information about codebooks can be found on the website of the Kent State University Library (specifically useful if you want to create a codebook in SPSS) and on the website of the Data Documentation Initiative (specifically useful for researchers in the social sciences).
Example of a codebook The Guide to Social Science Data Preparation and Archiving. 5th ed. Inter-university Consortium for Political and Social Research (ICPSR) (2012): Retrieved from https://www.icpsr.umich.edu/files/deposit/dataprep.pdf
DCC. (2017). Disciplinary metadata. Retrieved from http://www.dcc.ac.uk/resources/metadata-standards
Force11. (2018). Guiding Principles for Findable, Accessible, Interoperable and Re-usable Data Publishing version b1.0. Retrieved from https://www.force11.org/fairprinciples
Hillmann, D. (2001). Dublin Core Metadata Initiative: Generic Examples. Retrieved from http://dublincore.org/documents/2001/04/12/usageguide/generic.shtml
Nature.com. (2017). Scientific Data. Retrieved from http://www.nature.com/sdata/
Santaguida, V. (2010). Folder and File Naming Convention: 10 Rules for Best Practice. Retrieved from http://www.exadox.com/files/pdf/en/Folder-File-Naming-Convention-10Rules-Best-Practice.pdf
Wilkinson, M. D., Dumontier, M., Aalbersberg, IJ.J., Appleton, G., Axton, M., Baak, A. … Mons, B. (2016). The FAIR Guiding Principles for Scientific DataManagement and Stewardship, Nature, 3(160018), 1-9, DOI: 10.1038/sdata.2016.18, https://www.nature.com/articles/sdata201618.pdf
Higgins, S.G., Nogiwa-Valdez, A.A. & Stevens, M.M. Considerations for implementing electronic laboratory notebooks in an academic research environment. Nat Protoc 17, 179189 (2022). https://doi.org/10.1038/s41596-021-00645-8
Thornton, K., Seals-Nutt, K., Cochrane, E. and Wilson, C. (2021). Wikidata for Digital Preservationists. DPC Technology Watch Guidance Note. December 2021. http://doi.org/10.7207/twgn21-19.
Hooland, S., Verborgh, R. and De Wilde, M. (2021). Cleaning

Association in the course directory

Last modified: We 26.04.2023 13:08