One of the objectives of the GAMA project is to create a benchmark database of the low-redshift Universe with outstanding legacy value to both the galaxy evolution and large-scale structure communities. In keeping with this commitment the GAMA team welcomes and actively encourages the use of GAMA data by the broader community.
To this end we provide several ways in which you can gain access to GAMA data for your own research. First of all, the simplest way is to use the latest public release of GAMA data. These data are freely available to anyone. All we ask is that you cite the appropriate papers and acknowledge GAMA. As an alternative to using the public data you can either request access to a specific (unpublished) result derived from GAMA data, or else gain access to the full GAMA dataset by entering a collaboration with the GAMA team.
Quick summary for the impatient: Need data? Don't be shy, just ask us.
There are many cirumstances in which one would like to incorporate results from the literature in one's own work, e.g. when comparing model predictions to observational results, or when comparing results derived from different datasets. In these cases one is essentially interested in obtaining (additional) 'points on a plot' as opposed to spectra or catalogues. GAMA would like to facilitate the use of its results in this way, and thus we welcome requests for:
Your request will be promptly reviewed by GAMA's Scientific and Strategic Advisory Committee. Requests in categegories 1. and 2. above will be approved by default and forwarded to the appropriate GAMA team member. Requests in category 3. will obviously be considered more carefully. Note that no actual data or data products will be provided under this scheme. Any GAMA results to be used will be produced by the relevant GAMA team member, without any GAMA data or data products being passed on. In other words, under this scheme we will happily provide plots, or data points for plots, but not spectra or catalogues. Any publications incorporating GAMA results obtained in this way should cite all relevant papers and acknowledge GAMA. Furthermore, co-authorship should be offered to those GAMA team members who provided the data products being used, and to those who actually responded to the request.
For those that need more we offer the opportunity of a genuine scientific collaboration with the GAMA team. Entering a collaboration will gain you unlimited access to the complete dataset and data products currently available to the GAMA team for a specific, pre-defined scientific purpose. In due course, all GAMA data will be made public, but at present the GAMA-internal team database contains data over a wider area and to greater depth, as well as additional data products, compared to what is currently publicly available. The table below provides a complete list of the data products currently available in the GAMA team database. A collaboration with the GAMA team will thus gain you a significant advantage in terms of the data that you will be able to use for your project.
To initiate a collaboration you should first identify and approach a GAMA team member to act as your primary GAMA collaborator and contact person (see also the list of contacts in the table below). Once agreed, this person will submit a detailed description of your project to GAMA's Scientific and Strategic Advisory Committee for approval. Following its approval, your project is now 'reserved' for you, and your collaborator is authorised to provide you with all of the data that you need for this particular project. In return we ask that interested GAMA team members will be allowed to participate in your project, and we require that any papers resulting from the collaboration are subject to the GAMA co-authorship rules (in short: those that have contributed significantly to the data or data products being used, or to the scientific content of your paper, have a right to sign up). Once your project has been completed (usually by publishing a paper), the collaboration expires.
We stress that the above process has been extensively tried and tested. There are about 20 collaboration projects in progress right now, and 11 have already been successfully completed.
Below is a list of the data products that are curently available in the private, GAMA-internal team database. These data are considerably more extensive than what is currently publicly available. The acronym 'DMU' stands for 'Data Management Unit'. A DMU is simply a GAMA-internal organisational unit that provides a coherent set of data products (usually consisting of one or more tables). If you would like to initiate a collaboration project (see above) to use any of these data products, or if you would like to obtain more information about them, please use the contact links provided. For more general enquiries please contact firstname.lastname@example.org.