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Data Curation Exploration

Data Curation Exploration. Data Management/ Curation Task Force. Project Context. All activities involve more data Must be processed and moved more rapidly and More accurately Requirement to move From artisanal methods To industrial, information ages methods

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Data Curation Exploration

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  1. Data Curation Exploration Data Management/Curation Task Force

  2. Project Context • All activities involve more data • Must be processed and moved more rapidly and • More accurately • Requirement to move • From artisanal methods • To industrial, information ages methods • Need to remain open to innovation • Leads to requirement on anything we build • To be flexible and adaptable

  3. Data Management and Curation • To find a storage device for data is not the end of the story • To make data useful, one needs to • Describe data • Which points to the need for • Automatic processes (preferred) • Easy-to-use tools (if nothing better exists) • Collect and build indexes for data collections • Provide search, analysis, and composition tools

  4. Libraries and Research Computing • At UF, these two organizations have a partnership • To build a supportive infrastructure • For data management and curation • This infrastructure includes • Training and support • Advanced consulting • Computer systems (storage, compute, networks) • Software frameworks and software packages

  5. Project Goals • To specify what infrastructure we need to build • We plan to explore the activities • Of people who generate and work with data • Then we organize, streamline these processes • And develop training and support • As well as advanced consulting services

  6. Project Outcomes • Training and support for data management and curation best practices • Requirements for • Software tools to assist in these activities • Hardware to efficiently run that software stack

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