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DCXL Lightning Talk: Archiving Small Datasets
1. Archiving
Small
Science
Data
Sets
Carly
Strasser
|
carly.strasser@ucop.edu
|
www.carlystrasser.net
John
Kunze
Patricia
Cruse
Personal
Digital
Archiving
|
February
2012
2. UGLY TRUTH
Many
Earth
|
Environmental
|
Ecological
scientists…
5shortessays.blogspot.com
are
not
taught
data
management
don’t
know
what
metadata
are
can’t
name
data
centers
or
repositories
don’t
share
data
publicly
or
store
it
in
an
archive
aren’t
convinced
they
should
share
data
3. Where
do
data
end
up?
From
Flickr
by
diylibrarian
www
blog.order2disorder.com
From
Flickr
by
csessums
Data
Metadata
From
Flickr
by
csessums
Recreated
from
Klump
et
al.
2006
4. Where
do
data
end
up?
From
Flickr
by
diylibrarian
www
Data
www
Metadata
From
Flickr
by
torkildr
Recreated
from
Klump
et
al.
2006
5.
6. Facilitate
Archiving
Data
Data
Reuse
management
Sharing
&
organization
Reproducibility
Publishing
7. Why
are
you
promoting
Excel?
Develop
an
open
source
&
free
Excel
add-‐in
Add-‐in:
Little
pieces
of
software
Download
to
extend
the
capabilities
of
Excel
Appear
as
“ribbon”
www.ablebits.com
8. Why
are
you
promoting
Excel?
Everyone
uses
it
Stopgap
measure
9. DCXL
Project
Goals
Audience:
Earth,
atmospheric,
environmental,
ecological
scientists
Contributors:
UC
community,
DataONE,
broader
community
via
conferences
Method:
Collect
requirements
via
surveys,
interviews,
polls
10. ~ 150
scientists
• No
data
preservation
– Unaware
of
archives
– Resistant
to
sharing
• Poor
data
documentation
• 90%
use
other
programs
along
with
Excel
11. Requirements
1. Must
work
for
Excel
users
without
the
add-‐in
2. No
additional
software
(other
than
add-‐in
and
Excel)
necessary
3. Can
be
used
offline
12. Requirements
1. Must
work
for
Excel
users
without
the
add-‐in
2. No
additional
software
(other
than
add-‐in
and
Excel)
necessary
3. Can
be
used
offline
4. Perform
CSV
compatibility
checks,
reporting,
and
automated
fixes
13. Requirements
1. Must
work
for
Excel
users
without
the
add-‐in
2. No
additional
software
(other
than
add-‐in
and
Excel)
necessary
3. Can
be
used
offline
4. Perform
CSV
compatibility
checks,
reporting,
and
automated
fixes
5. Add
Metadata
to
data
file
a. Can
use
existing
metadata
as
a
template
b. Add-‐in
can
automatically
generate
some
of
the
metadata
where
the
info
is
available
from
the
file
6. Generate
a
citation
for
the
data
file
14. Requirements
1. Must
work
for
Excel
users
without
the
add-‐in
2. No
additional
software
(other
than
add-‐in
and
Excel)
necessary
3. Can
be
used
offline
4. Perform
CSV
compatibility
checks,
reporting,
and
automated
fixes
5. Add
Metadata
to
data
file
a. Can
use
existing
metadata
as
a
template
b. Add-‐in
can
automatically
generate
some
of
the
metadata
where
the
info
is
available
from
the
file
6. Generate
a
citation
for
the
data
file
7. Deposit
data
and
metadata
in
a
repository