IEEE eScience: ARCHER: An Enabler of Research Data Management ARCHER – came in late
Speaker: Anthony Beitz

research data management
life cycle
conceive, design, experiment, analyze, collaborate, publish, expose
(this seems strange to put collaborate there)
theirs helps from experiment, analyze, publish

includes
- research repository – data curation, with rich metadata
- concurrent data capture and telemetry
- dataset manager including (web and desktop client for large datasets so no time out), metadata editing tool
- collaborative and adaptable research portal dev environment

currently available www.archer.edu.au

uses plone? xdms – also does automatic metadata extraction upon deposit
core metadata based on STFC’s scientific metadata model
flexible metadata for samples, datasets, and datafiles

stfc project > experiment > dataset > data file
for experiment: publication, keywords, topic list, investigator, sample

DIMSIM – distributed integrated multi-sensor & instrument middleware
- convenient for large data in bulk from instrument to repository
- enables concurrent analysis

XDMS – scientific dataset manager
web tool for researchers to manage and curate their research process
- formalized research data management
- automated metat extraction
- persistent identifiers for each dataset (I guess at the whole dataset level – using handle technology)
- powerful search capabilities ( he didn’t say much here)

(q: tell more about search – just metadata?)
- secure
- publish from there into their institutional repository
- currently customized to crystallography

Metadata editor validates schema

Hermes is the desktop tool
- doesn’t have data time out problems

Labels: IEEEeScience08

  ¶ 12:09 PM| |cites (technorati) |