This step-by-step guide should enable you to do a thorough and complete review of the data with a minimum of confusion.

1. You are assigned to be Lead Reviewer for a subset of the data sets. You will lead the discussion on these data sets at the review meeting. You are also asked to give special attention to these data sets, and in particular to download each data set (or a sample of it) and attempt to use it to answer one or more scientific questions, as if you were a user of the archive.

2. You are assigned to be Secondary Reviewer for a subset of the data sets. You will contribute to the discussion on these data sets at the review meeting. You are also asked to give special attention to these data sets, and in particular to download each data set (or a sample of it) and attempt to use it to answer one or more scientific questions, as if you were a user of the archive.

3. Examine each data set, including those for which you are not Lead or Secondary Reviewer. The data sets can be browsed from the review web site, or downloaded in whole or in part for further study. Be sure to give adequate attention to the data set documentation.

4. Give first priority to the data sets for which you are lead reviewer, second priority to those for which you are secondary reviewer, third priority to new data sets (Version 1.0), and fourth priority to data set updates (Version 2.0 or later), if any. However, this doesn't mean you can skip the lower priority sets!

5. If you find typos, misspellings, or grammatical errors in the data sets, email these to Anne Raugh (userid raugh at astro.umd.edu) prior to the review meeting, or bring a list to the meeting to submit. We won't waste time during the meeting discussing the typos.

6. If you have written comments you would like to submit prior to the meeting for general posting, please send them to Anne (userid raugh at astro.umd.edu), and she will link them to the data set page, where her own format reviews are linked.

7. If you have any problems browsing or downloading data sets, accessing the review web site, or if you need tools to examine the data, please contact Anne (userid raugh at astro.umd.edu) right away.