Data Management Guidelines & Best Practices

1. Data Management Guidelines & Best Practices Data Management/Curation Task Force http://library.ufl.edu/datamgmt

2. Project Context All activities involve more data & a rapidly changing landscape: • Changes for technical and community needs • Artisanal to replicable, extendable • Remaining flexible, adaptable, open to innovation • Enabling collaboration across disciplines and institutions • Changes from funders • Formal requirements • Expectation for UF Data Policy by 2020 • Full data policy framework with policies, standards, and procedures http://library.ufl.edu/datamgmt

3. Data Management & Curation • Storage for data is a small part of the need • 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 http://library.ufl.edu/datamgmt

4. UF Libraries & Research Computing • Partnership to build a supportive infrastructure for data management and curation • Socio-technical infrastructure (people, policies, technologies, attendant supports) includes: • Training and support • Advanced consulting • Computer systems (storage, compute, networks) • Software frameworks and software packages • Guidelines, policies, standards, and procedures http://library.ufl.edu/datamgmt

5. Project Goals • Larger project goals include full socio-technical supports for data at UF • Specify and build technical infrastructure • Organize, streamline technologies for research • Develop training and support • Provide advanced consulting services • Provide administrative guidelines and supports • Data Guidelines and Best Practices  policies, standards, and procedures http://library.ufl.edu/datamgmt

6. Project Goals • “Data Guidelines and Best Practices” • Scope: • UF research data; examples include data collected by instruments and from surveys, and generated by models and computations • Addresses issues of intellectual property and regulatory compliance • Excluded are enterprise and administrative data http://library.ufl.edu/datamgmt

7. Project Goals • “Data Guidelines and Best Practices” • Best practices and guidelines for: • Researchers • Institutional infrastructure • Sustainability • Training and mentoring • Professional, scientific, & scholarly communities • UF Practices and Policies • Discussion, communication, and collaboration for building additional supports together • Available institutional resources http://library.ufl.edu/datamgmt

8. Project Goals • “Data Guidelines and Best Practices” • Document for campus-wide discussion, refinement and approval • Discussion with many campus groups: Research Computing Advisory Committee, Faculty Senate, UF Informatics Institute • Campus discussion and afternoon workshop: Feb/Mar 2016 • Document with discussion will support development of UF’s full data policy framework with policies, standards, and procedures • Given funder demands, UF full data policy framework expected by 2020 http://library.ufl.edu/datamgmt

9. Contact Us • Data Management/Curation Task Force: • Datamgmt-l@lists.ufl.edu • Liaison Librarians: • http://apps.uflib.ufl.edu/staffdir • Research Computing: • www.rc.ufl.edu/contact/people/ http://library.ufl.edu/datamgmt