status: Recognised & Endorsed
Chair (s): Katarzyna Biernacka, Amy Nurnberger, Jeanne Wilbrandt, Magdalena Szuflita-Żurawska
Group Email: [group_email]
Secretariat Liaison: [field_secretariat_liaison]
The context of increasing volumes of data being created by researchers and the strengthening of requirements for research data management and data sharing has created demand for a new and evolving set of competencies and skills for researchers who create and use the data, and the growing cadre of professionals who support them.
In general, the fostering of these abilities is not explicitly addressed by current training or formal education plans. Also, the place, role and career structure of support professions (data scientists, data librarians, data managers, data analysts, research administrators, infrastructure providers and developers, etc.) is not clear.
The objective of this IG is the exchange of information about existing developments and initiatives and promotion of training/education to manage research data throughout the data lifecycle. Concretely, it will make the case for creating taxonomies of the skills required by different group of data management specialists/professionals and elaborating reference models as a basis to:
- enable the setting of quality standards for appropriate education and training programmes aimed at researchers and the professionals that support them, at all career stages;
- encourage the recognition of data skills amongst employees, employers, and professional bodies.
- prepare the ground for practical applications applying these standards in educational environments
The potential benefits include:
- increased employability, mobility and recognition of data professionals, including international certification and accreditation, and improved career progression structures;
- better recognition of data competencies and skills as integral components of researcher and support staff attributes;
- increased supply of trained data professionals;
- encouraging innovation in data-related curricula;
- fostering professional associations around recognizable skills.
- coordinating development of framework curriculum for different domains.
Posts
McGill Data Anonymization Workshop Series recordings & presentations are now available
by Biru Zhou
Dear colleagues, The McGill Data Anonymization Workshop Series, organized by the McGill Digital Research Services Hub (DRS), was a great success with 1180+ attendees from all over the world participating to upskill their knowledge in data anonymization/de-identification in both quantitaive and qualitative data.0 | Add new comment
Education and Training on Handling of Research Data IG (ETHRD-IG) at RDA P21 - agenda
by Laura Molloy
Dear ETHRD-IG members,2 | Add new comment
Just a kindly reminder - Timings for P21 Meeting and Call for Presentations
by Magdalena Szuflita-Żurawska
Dear All, We would like to remind you that we are waiting for your presentations. If you want to share your thoughts, tips, and good practices with us, please send your proposal to Kati by the 6th of October.0 | Add new comment
Timings for P21 Meeting and Call for Presentations
Dear IG member, *Registration is open*for the upcoming 21th RDA Plenary meeting at the International Data Week (IDW) 2023, to be held at the Salzburg Convention Center in Salzburg, Austria from October 23 – 26, 2023. If you plan to attend in person, the 'early bird' (i.e. cheaper) rate will end this *Friday 15 September at 23.59 UTC*. (Online registration rates will remain the same before and after this date.) More info is at https://www.rd-alliance.org/idw-2023-registration0 | Add new comment
RE: Focus Group on Learning Outcomes
by Gavin Chait
Hi everyone . We kicked off the focus group and have developed a set of provisional objective themes: * Definitions and purpose for learning outcomes and -objectives dmT2BObM/edit> , * Taxonomy and guidance, including verb tables, for developing learning outcomes QK4-Mu3s/edit> , * Minimum Viable Outcomes, and defining core work role requirements ux-nkSTc/edit> , * Interoperability for defining course and learning outcome structure0 | Add new comment
Focus Group on Learning Outcomes
by Gavin Chait
Hi everyone . It's taken a little time, but the proposed focus group on learning outcomes has started moving. We're intending to hold a kickoff meeting to scope our objectives during the week of either 4 or 11 September, and we'd very much appreciate your joining us. For context: Learning Outcomes - Further material documentation/metadata for data curation in research should include learning outcomes which demonstrate data probity, attribution, and process, including differentiation based on0 | Add new comment
McGill Data Anonymization Workshop Series 2023
by Biru Zhou
*** la version française suit *** McGill Data Anonymization Workshop Series:0 | Add new comment
RDA P21 @ IDW 2023 - Notification of Acceptance
Dear Chairs of the Education and Training on Handling of Research Data IG Your RDA P21 session application titled Fiesta ETHRD-IG! Community celebration of education & training material and metadata richness has been approved. Please consider this your official notification of acceptance. Key dates to keep in mind: * Draft programme to be published on Friday, 28 July * Any requests for changes must be made by Monday, 21 August to ***@***.***-foundation.org0 | Add new comment
[NFDI4Ing] Industrial data models in theory and practice: The CC41 Community Meeting
Dear RDA members, Modelling complex information and its interrelations is vital for sustainable data management, but achieving a common understanding and language for these models is challenging. Connecting models from different yet similar use cases, like injection molding and hot rolling, presents interesting opportunities. What parameters impact both processes similarly? Are there advantages to considering both models simultaneously? These questions and more can only be answered by examining multiple models built on a shared foundation.0 | Add new comment
Certificate Course Data Steward: Application Deadline June 30
Dear colleagues, There is still time to apply for the next round of the certificate course "Data Steward" at the University of Vienna – Deadline: June 30, 2023. This part-time further education program specializes in research data management at research institutions and is an excellent opportunity to enhance your skills in this field. Here are the key details: * Academic Degree: Certificate of the University of Vienna * Duration: 2 semesters (part-time) * Credits: 15 ECTS * Language: English * Cost: €2,9500 | Add new comment