1. Pipelines vs your own data reduction codes Matilde Fernandez IAA, CSIC

2. How long does an average observational project take the data reduction process? Probably a few months (sharing time with other projects or duties) PhDs let students, quite often, to become familiar with observational techniques, including data reduction

3. Pipelines (in the sense we all dream of) would prevent us from doing work that others have done before. Goals: - to save time - to use instrumentation with which we are not familiar

4. Proposal: - to try to unify pipelines - to define standards (programming lan- guages, the use of “external packages”, etc) - share/define calibration plans for the instruments Virtual Observatory Computer requirements

5. To start just with - the most common observing modes - the configurations that are used more frequently Let us link these modes/configurations to an Observational Tool

6. PANIC Near-infrared camera

7. Observing modes: - in situ - service mode - remote mode - robotic/scheduled observations - results mode < ------

8. Let us start with something easy, something we know well Pilot programme: CCD imaging Let us make a “census” of people involved in software development for data reduction Call for applications: Tecnicos de Apoyo (50%: host institution, 54000 Euros, 3 years) matilde@iaa.es