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Alberto Pepe edited Introduction.md
almost 11 years ago
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moons), key **metadata** (timing of each observation, weather, telescope
properties), and **text** (descriptions of methods, analysis, and conclusions), as shown in \label{fig:1}.
Today, many research projects are considered complete when the analysis is complete, and a short journal article has been written and published. But modern scientific publications almost never offer enough access to data and metadata to be used as the sole guide to repeating, or statistically verifying, scientific studies. Worse, researchers seeking to extend work based on others' (or even their own!) data, frequently have trouble finding those data.
> This Today, many research projects are considered complete when the analysis is complete, and a short journal article has been written and published. But modern scientific publications almost never offer enough access to data and metadata to be used as the sole guide to repeating, or statistically verifying, scientific studies. Worse, researchers seeking to extend work based on others' (or even their own!) data, frequently have trouble finding those data. **This article a short guide to the steps scientists can take to ensure that the data and their analysis of it continue to be of value and to be
recognized. recognized.**
Sources of "data" and "analysis" that need care and feeding today extend far beyond classical experimental/observational studies like Galileo's. Theoretical investigations can create large data sets through simulations (e.g. [The Millennium Simulation Project](http://www.mpa-garching.mpg.de/galform/virgo/millennium/)), and large scale data collection often takes place as a community-wide effort (e.g. [The Human Genome project](http://www.genome.gov/10001772)).