Collaborative session notes: https://docs.google.com/document/d/11WNC3PqN5k1NLaHH3gY2cJn1uaNTHfGBT6qR0r3GPBg/edit?usp=sharing
Two approaches have become the center of discussion within the Data Fabric Interest Group. These include the Digital Object Architecture approach which centers around persistent identifiers (PIDs) linked with typing from Data Type Registries and the Digital Object Interface Protocol and the Linked Data Platform approach with leverages HTML landing pages and typed attributes.
During this session, we will explore both approaches in-depth and begin to envision what a Data Fabric landscape might look like with both approaches acting in a complementary fashion. The pros and cons of both approaches will be cataloged along with interoperability concerns within a heterogeneous Data Fabric environment.
10 Minute Introduction
10 Minute Overview of DO Approach
15 Minute Discussion of DO Approach
10 Minute Overview of LDP Approach
15 Minute Discussion of LDP Approach
25 Minutes of moderated discussion about interoperation in an environment with both Approaches
5 Minutes wrap and action items
Data Fabric Providers
Repository Administrators
Data Fabric Developers
Those interested in FAIR Data Infrastructures
The Data Fabric IG (DFIG) identified that working with data in the many scientific labs and most probably also in other areas such as industry and governance is highly inefficient and too costly. Excellent scientists working on data-intensive science tasks are forced to spend about 75% of their time to manage, find, combine and curate data. What a waste of time and capacity. The 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 at what other communities are doing in this area, and to foster testing and adoption of RDA outputs. The goal of DFIG finally is to identify common components and define their characteristics and services that can be used across boundaries in such a way that they can be combined to solve a variety of data scenarios such as replicating data in federations, developing virtual research environments, and automating regular data management tasks. Much important work is being done on data publishing and citation, but DFIG believes that we need to start at early moments in the "Data Fabrics" in the labs to organize, document, and manage data professionally if we want to meet the requirements of the coming decades.
The DFIG has been active since 2014 and meets monthly to discuss topics related to DF and providing Data Infrastructure services. The members are active in the ongoing FAIR Digital Object Framework groups in North America, China, and Europe.
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