Data Discovery Paradigms IG


Group details

Secretariat Liaison: 
TAB Liaison: 
Andrew Treloar
Case Statement: 
IG Established

RDA Interest Group Charter

Name of Interest Group:  Data Discovery Paradigms IG


The F.A.I.R. Principles, i.e. that data should be “Findable, Accessible, Interpretable and Reusable”, have become a key theme of Open Science. To comply with the first of these criteria, being Findable, we need a data infrastructure that supports users in discovering research data regardless of its location or the manner in which it is stored, described and exposed. This is a significant and growing challenge, as the number of research data repositories, and the need for cross-disciplinary data discovery, increases. This interest group aims to explore common elements and shared issues that those who search for data, and who build systems that enable data search, share.


The objectives for this interest group are to provide a forum where representatives from across the spectrum of stakeholders and roles pertaining to data search can discuss issues related to improving data discovery. The goal is to deliver guidelines and recommendations that can be adopted by data repositories, infrastructure developers, data producers and data users to improve the discovery and use of research data.

Key questions the IG wishes to address:

At RDAP8, we identified a long list of topics pertaining to data discovery, which were then voted by the group members to a shortlist of 10 topics. The top 5 of these have been selected as the key Task Forces which the group is focusing on (linked to the wiki page for each Task Force). Three of the Task Forces were officially closed at the RDA P11 after producing the corresponding outputs; these were:

The Interest Group currently has three active Task Forces: 

For more details on the full list of potential task forces and the process followed in selecting them, please see the page on Task Forces.


Related Activities:

  • NASA’s WG on Search Relevancy – focus is on improving search result relevance for EOSDIS data
  • ESIP’s Information Quality Cluster and NASA’s WG on Data Quality are both addressing ways of capturing and conveying quality information
  • ESIP's Semantic Technologies Cluster which is working on guidelines for using
  • W3C’s Best Practices for Spatial Data on the Web aims to improve discoverability and accessibility of geodata

Other RDA IGs whose activities are of interest and who we will interact with:

  • Metadata
  • Registries
  • Brokering
  • PIDs
  • Research data collections


The Data Discovery Paradigms Interest Group is open to all members and encourages active participation through the Task Force mechanism. Task Forces have phone conferences on a regular basis. To become active in either the Task Forces or propose other activities for the IG, please contact the Chairs. 



File RDADataSearchInterestGroup.docx29.04 KB

Recent Activity

16 May 2019

Plenary 14: Call for Sessions, Collocated Events, Posters and Registration Now Open!

Taking place from 23-25 October 2019, the 14th RDA Plenary will take place in Dipoli, the nature-immersed building of Aalto University, Helsinki, in Finland, “one of the happiest countries in the world”, states Per Öster, CSC-IT Center For Science Director and Co-Chair of the P14 Programme Committee.


06 May 2019

Please join the teleconference call on this Thursday 9th (8pm UTC), discussing research schema WG case statement

Dear All,

This is a belated and short notes that the BoF session "Using
and Enriched Metadata to Enable/Boost FAIRness on Research Resources" at
the RDA P13 was well attended and received (slides
we also had good discussion. Taking the discussion into account, a few of
us (Adam Shepherd, Leyla Garcia, Nick Juty, SiriJodha Khalsa and myself)
have been drafting this case statement

for proposing a RDA Research Schema Working Group.

05 May 2019

Re: [datadiscovery] Re: Reminder for the data/metadata granularity TF call (RDA...

Hi all. I also apologize for missing the call. It was not in my agenda, but I've now added in future telecons for the first Thursday of the month. I was actually at the IOOS DMAC meetings this week, and data granularity and aggregation into collections were a re-occurring discussion topic there.

I plan to attend the ESIP meeting, so look forward to that session topic Anna.

Reyna Jenkyns | Data Stewardship Manager
Ocean Networks Canada | T 250 853 3908 |
#100-2474 Arbutus Road, Victoria, BC, V8N 1V8

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02 May 2019

Re: Reminder for the data/metadata granularity TF call (RDA Data Discovery Paradigms IG)

Hi All, Apologies for missing the meeting this afternoon. My NCEI
colleague, Heather Brown, and I submitted an abstract for a workshop
session at the ESIP Summer Conference. The focus will be on defining the
different 'facets' of a collection based on different use cases. I hope
that folks on this group can be involved with this session if it's
*~~~~~~Metadata Adds Meaning~~~~~~*, 303-497-5099
NOAA National Centers for Environmental Information

14 Mar 2019

Reminder: 14 March (8pm UTC), RDA DDP Schemas TF meeting

Dear Members of the RDA DDP IG and ESIP- semanticweb,

This is a reminder we have a schemas TF meeting at 8pm UTC (1pm PDT/9pm
CET/7am AEST) 14th of March. Sorry for the late notice, and cross-posting.

Here is the agenda:
* Discuss how to analysis the survey
Current practices in using schemas to describe research datasets.
* Discuss the schemas BoF session

at the RDA P13
* Other businesses??

13 Mar 2019

Re: Update on data/metadata granularity TF (RDA Data Discovery Paradigms IG)

Hi Chris,

I think we are still wrestling a little with the definitions so that we can have a common interpretation, although we made a little headway. It's true that the word is borrowed from the physical world, so that's interesting to think about more. I come from a mathematical background too, so I do appreciate the abstractions although we still need to anchor ourselves somehow. There is always a danger in extending the meaning of a term though.


12 Mar 2019

Data/Metadata Granularity Task Force

Hi all,

last week we had a very interesting discussion in the Data/Metadata
Granularity Task Force call. The agenda focused mainly on discussing the
dimension of data/metadata granularity, as stated here


One of the main outcomes of the call was a detailed discussion on the
terminology, including the definitions of terms such as granularity,
collection, dataset, data aggregation etc. This allowed us to better
understand the different perspectives on granularity, from different