WG QoS-DataLC Definitions RDA 9th Plenary meeting

Meeting title

Review of technologies and working towards a more complete vocabulary.

Short introduction describing the activities and the scope of the group: 

The QoS / DLC working group provides work in evaluating and establishing a vocabulary that describes the Quality of Service (QoS) of a data storage service. Clearly establishing what service a provider will supply is critical in establishing trust between a service and users that store data within that service. 

While Service Level Agreements (SLAs) and Memoranda of Understanding (MoUs) describe the service using specific terms, the definition of those terms can vary between different communities. To this end, the group is building a vocabulary that describes aspects of a data storage service that user communities care about. The aim is that this vocabulary may be used both technically (e.g., in network protocols) and textually (e.g., SLAs, MoUs) to bring a common understanding of what is on offer and what is required.

DataLC is a data lifecycle, how data is handled over its lifetime. Many of the ways data may be handled can be automated, provided such steps can be described in a generic fashion. To achieve this, as with QoS, a common vocabulary is necessary so that terms like "remove embargo" and "archive" are well understood, along with aspects that influence transitions. This impacts data services that can automate such transitions, along with higher-level documents such as Data Management Plan (DMP).

Additional links to informative material related to the group i.e. group page, Case statement, working documents etc

Straw-man QoS vocabulary:

https://editor.vocabs.ands.org.au/rda_qos/0.html

Meeting objectives

Agreement on technology and procedure in accepting new definitions.

Meeting agenda

  1. Introduction (Mikael Borg)
  2. How the research data infrastructure could benefit from QoS and DataLC definitions? Case: The Project Mildred (Ville Tenhonen)
  3. First technical implementation of QoS in storage in the INDIGO-DataCloud project (Patrick Fuhrmann)
  4. Discussion: case statement, initial work and how to move forward

Audience: 

People affiliated with scientific communities with an interest in ensuring their data is handled reliably, efficiently and cost-efficiently.
People affiliated with data storage services with an interest in those services being adopted by new communities.

 

Group chairs serving as contacts: Paul Millar

Type of meeting: Working  meeting

Group maturity: 0-6 months