challenges in data
long-term maintenance v. short-term use
roles/responsibilities
picturing future use
best practices
incentives, training, awareness
infrastructure, policy, sustainability
disparities in disciplines, work flow, standards, versus one-offs

priorities
what to keep

I. Status principle
data= any citable object
metadata
status to tk legal parties
II. Attribution principle
all parties associated
authorship
legal contract
invisible work-data collection, mgmt, handling, curation
metadata-ORCID, VIVO (Cornell)

ORCID-->current and future
ISNI-->historical
VIAF
501c3

"cataloguers full employment act"

III. Persistence
reference what you except to last
PIDs persistent & unique

IV Access
data and doc
humans
machines
Herbert Vande Sompel
interpretation
paywalls
firewalls
legal issues surrounding access

V Finding
citation
architecture built differently depending on how you prioritize

VI Provenance Principle
big metadata issue
big interpretation issue

VII Granularity
finest info nec to identify the data

VIII Verifiability Principle

X Flexibility Principle
silo problem
bridging across communities, metadata crosswalks, etc.
want to use as many open sources and standards as possible

First few minutes on context
a little on data practices
policies that apply to their domain
half the time on the data mgmt and curation activities