Data Citation WG


Group details

Chair (s): 
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Larry Lannom and Wenbo Chu
Case Statement: 
WGs Maintaining deliverables (maintenance group)

Please note that the Data Citation WG has delivered its outputs and is now a Maintenance Group for these outputs.


The RDA Working Group on Data Citation (WG-DC) aims to bring together agroup of experts to discuss the issues, requirements, advantages and shortcomings of existing approaches for efficiently citing subsets of data. The WG-DC focuses on a narrow field where we can contribute significantly and provide prototypes and reference implementations.

The final recommendations of the WGDC are available at (2-page flyer), with a slightly more extensive report being available at (Bulletin of the IEEE Technical Committee on Digital Libraries, 12:1, 2016).


The WGDC has now moved on into an adoption phase, supporting numerous data centers in implementing these recommendations and collecting feedback and lessons learned on the way. Please follow the discussion forum and wiki for updates on the status of these pilots. We are running a series of webinars where adopters present their implementations of the recommendations and their experiences in setting up the according services. Details on these webinars, recordings, slides and supporting materials are available from the WGDC Webinar page at

If you are interested in adopting these recommendations, would like to present you rimplementation of the recommendations, or if you have any questions concenring their interpretation, please let us know.

Recent Activity

21 Mar 2018

Slides of the WGDC-Mtg@RDA-P11 available

Dear all,
The slides presented at today's break-out session of the Data Citation
Working Group are now available in the group file repository at:
Thanks a lot for the massive attendance and the great discussion. It
seems like we'll have a much higher number of adopters very soon judging
also from the discussions that we had after the meeting ended.
Again, please let me know if you are aware of any ongoing

19 Mar 2018

WGDC-Mtg@RDA-P11: Wed., 21.3., 12:00, A03: Call for Slides/Presentations

Dear all,
As you will have noticed, our session at P11 is scheduled for
Wed, March 21, 12:00-13:30 in room A03
If you would like to present anything during the session, could you
please *** send me your slides *** so that I can integrate them prior to
our break-out session? This makes switching between presentations easier
and allows us to distribute all slides (if you agree) after the session
in a single package.
We are looking specifically for presentations on new or planned

07 Mar 2018

Second online asynchronous meeting of the RDA Linguistics Data Interest Group (LDIG)

Dear all,
We are holding the second online asynchronous meeting of the Linguistics Data Interest Group (LDIG) from today until March 16. We hope to hold these meetings 2-4 times a year, as a way for you to help shape the direction of the group and its work, and to ensure the experiences of a wide range of linguists are reflected in the LDIG outputs.

09 Feb 2018

AW: [rda-datacitation-wg] DCO present in Berlin

Hi Andi,
I and my colleague from the CCCA Data Centre with their DC pilot will also take part on the Berlin Plenary. If its valuable we could report or status, new development and next steps.
We submitted a poster for a detailed description of this implementation.
Head of CCCA – Data Centre
GEO Coordinator for Austria
Climate Change Centre Austria
Data Centre
1190 Wien, Hohe Warte 38
Tel: +43136026 2519

08 Feb 2018

DCO present in Berlin

Hey Andi, Ari, and crew,
As mentioned the Deep Carbon Observatory Data Portal. is working on adopting the DDC rec. It would be nice if we could report on our progress at the session in Berlin as an item under “Brief reports on use cases”. I suspect we may have some thoughts on Versioning too.
Assuming he gets his visa, Ahmed Eleish, would be the primary presenter.

25 Jan 2018

Adopting DDC Recommendation

Hi all,
I just wanted to let you know that the Deep Carbon Observatory Data Portal at Rensselaer Polytechnic Institute has received an RDA/US adoption mini-grant to adopt the Dynamic Data Citation methodology and Scholix. Two grad students, Ahmed Eleish and Brenda Thomson, will be doing most of the work.
I'm hoping Ahmed will be able to be in Berlin. I certainly will be. We may want to find some time to discuss things in more details then.
Meanwhile, we are all joining the Working Group

18 Jan 2018

FW: New Publication - Reproducible research in linguistics: A position statement on data citation and attribution in our field

Hello Data Citation WG,
Please note the upcoming activities around data citation in the recently-endorsed RDA Linguistics Data IG. Would there be a good representative from your group to join the Linguistics IG citation conversations?
Please let me know if I can be of any assistance. Many thanks for all you do!
Lynn Yarmey
Research Data Alliance/US
Director of RDA/US Community Development

06 Nov 2017

Automatically generating citation text from queries WEBINAR Data Citation WG

Dear all,
a kind reminder on the Webinar tomorrow 7th November 2017, 16:00 UTC /
17:00 CET:
*Automatically generating citation text from queries (Recommendation
10):* Citation generation for XML (rule-based and machine-learning
based), for RDF (view-based) and for RDBMS (view-based), with
demonstrations from real applications for each:
EAD/Archives+Pharmacological data for XML, Eagle-i (bioresources) for
RDF and IUPHAR (pharmacological data) for RDBMS
Presenter: *Gianmaria Silvello*, University of Padova

24 Oct 2017

Next RDA WGDC Webinar: Tue, Nov. 7, 17:00 CET

Dear all,
I am happy to announce the next Webinar on implementations of the
recommendations of the RDA Working Group on Data Citation (RDA WGDC),
this time focusing on the implementation particualrly of Recommendation
10, the (automatic) generation of the citation text snippet:
Title: Automatically generating citation text from queries
(Recommendation 10): Citation generation for
- XML (rule-based and machine-learning based), for
- RDF (view-based) and for
- RDBMS (view-based),