SKVO – Slovak Virtual Observatory  — open platform for archiving and sharing archiving photometric and spectroscopic observations mainly obtained by small size telescopes in Slovakia, as well as all over the world.

The Virtual Observatory (VO) is a network of different data archives and services that work together with software tools, and provide a free access to astronomical data for a wide astronomical community. The main idea of VO is to use, combine and analyze, in principle heterogeneous data, obtained by many different telescopes and instruments (the both ground-based and from space) across the full range of the electromagnetic spectrum in order to take full advantage of the available informations.

Data access to the VO services is realized by standards and protocols created by IVOA (International Virtual Observatory Alliance)\footnote{}. The most of the data available in the VO’s databases are astronomical catalogs (positions, spectral types, proper motions, parallaxes…), images obtained by different surveys (e.g. DSS, SDSS, 2MASS, …) and spectral data from ground-based and space observatories. Photometric observations (time series data) are quite neglected in the VO, although these data are crucial for many areas of astrophysical research. Each project has its own policy of data accessing, which complicates retrieving of observations.

The role of the VO in astronomy will significantly grow in the next few years. A huge amount of observational data have been accumulated yet and several new observational projects and automated survey are planned, which significantly increase the amount of different data. Only few percents of them have been analyzed in details.

Moreover, many photometric, and over the last few years also spectroscopic observations were obtained by small telescopes (with apertures from several cm up to 1m) on professional and university observatories as well as by advanced amateur astronomers. The major part of these observations is not accessible for a wide astronomical community although can hide interesting informations about different types of object. Moreover, there is a risk that some of these observations can be lost forever.