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Governance and Implementation of the Intelligent Data Fabric

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26 Jun 2019
Group(s) submitting the application: 
FAIR Digital Object Fabric IG
Meeting objectives: 

The meeting will focus on Data Fabric governance and implementation, but also introduce new innovative areas in terms of automating the Data Fabric with Machine Learning / Artificial Intelligence.

1) International Data Fabric Governance

The Data Fabric is built by infrastructures and applications that rely on a diverse set of components. The interplay between components is described via recommended interfaces and protocols at the technical level. However, to fully realize the Data Fabric vision, governance must also be addressed as part of implementation. Focus topics at the heart of data fabric governance and cross-disciplinary implementation for the session include:

  • Governance of different registries and other components and determining the need for overarching governance framework(s)
  • What is the win-win governance model for cross-continental data fabric/infrastructure cooperation?
  • What is a good mechanism to govern the institutional level, national level and international level data fabric/infrastructure?
  • How does data fabric governance relate to practical implementation, e.g. at cloud storage level?

2) Towards the Intelligent Data Fabric

Further automating the data-centric processes in the labs is a key concern in the Data Fabric scope. Machine Learning (ML) and Artificial Intelligence (AI) now present the means to automate the processes on a wide scale, across disciplines and existing services or e-infrastructures. The objective of the meeting is therefore to discuss how to apply AI and ML concepts in practical implementation examples such as:

  • automate metadata capture and transformation from structured and unstructured data
  • support service chaining for data processing
  • automated categorization of data products for metadata management, search and service discovery
  • data reduction and summarization
  • enhance data discovery, provide intelligent user assistance, recommender systems
Meeting agenda: 

Collaborative session notes: https://docs.google.com/document/d/1f1vUe_M76dnhGnRP_IQ9Zye3CLpAAxnM2AHTvOSKQvs/edit?usp=sharing​​​​​​

 

  1. Introduction to Data Fabric and governance challenge (10 min)
  2. International Data Fabric Governance and cross-continental implementation updates (10+5 min each)
    1. DONA, GO-FAIR perspective (tbd)
    2. CNIC (Liu JIA)
    3. cs3mesh4eosc (Guido Aben)
  3. Discussion: Towards the Intelligent Data Fabric (35 min)
Target Audience: 

Data infrastructure builders, data repository managers, research software engineers, data and computing centers

Participants should familiarize themselves with the basic ideas and concepts of the Data Fabric; see informative material.

Group chair serving as contact person: 
Tobias Weigel
Brief introduction describing the activities and scope of the group: 

The Data Fabric group is concerned with improving the efficiency and effectiveness of the data generation and consumption cycle as it exists in the labs today. Across disciplines, a lot of manual effort is spent on finding, preparing, managing and curating data, which is inefficient as effort is not spent on research instead. The Data Fabric IG (DFIG) is therefore looking at the data creation and consumption cycle to identify opportunities to optimize the work with data, to place current RDA activities in the overall landscape, to look what other communities are doing in this area and to foster testing and adoption of RDA outputs.

Short Group Status: 

The group has been active since the earliest days of the RDA and holds frequent meetings, in person at plenaries and virtual meetings.

Type of Meeting: 
Working meeting
Additional links to informative material: 

Group home page: https://www.rd-alliance.org/group/data-fabric-ig.html
Future trends for the Data Fabric: https://www.rd-alliance.org/sites/default/files/Future%20Trends%20for%20the%20Data%20Fabric.docx
Webinar: Data Fabrics https://www.rd-alliance.org/webinar-data-fabrics
Recommendations on virtual layering: http://dx.doi.org/10.15497/RDA00026

 

 

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Avoid conflict with the following group (1): 
PID IG
Avoid conflict with the following group (2): 
Data Type Registries WG & #2
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