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Organizing Data in Astronomy: in the Way for a Standardized Procedure

doi: 10.6062/jcis.2015.06.02.0094(Free PDF)


João Luiz Kohl Moreira, Reinaldo R. de Carvalho


We discuss the world wide fast increasing mass of astronomical data and the importance of taking in account these properly storing and retrieving data procedures, since data is the most important com13 ponent in the science context, understood as an empirical investigative process. A scheme of a procedure of systematically storing data is presented. We understand the need for organizing data in order to make the interaction astronomer - database easier. We introduce the framework of a universal program for storing data in a structured database, independently of the data type, provided they are in ASCII format. Guidelines to interact with this program is presented.


Astronomical databases: miscellaneous; Big Data; Catalogs; Data Analysis; Semiotics.


[1] HAWKINS, JL, 1991, dSTORY; how I really developed dBASE, Data Based Advisor 9:3

[2] RATHER, E, COLBURN, DR, MOORE, CH, 1993, The Evolution of FORTH, ACM SIGPLAN Notices 28:3

[3] SUAD, A, 1986, Relational Database Technology, Springer-Verlag.

[4] HANISH, RJ, DE YOUNG, D, 2007, Prologue: The Virtual Observatory - A New Environment for Astronomical Research, In GRAHAM, MJ, FITZPATRICK, MJ and MCGLYNN, TA, editors, Astronomical Society of the Paci c Conference Series, 382: 1.

[5] DE CARVALHO, RR, GAL, R.R., DE CAMPOS VELHO, H.F., CAPELATO H.V., LA BARBERA, F., VASCONCELLOS, E.C., RUIZ,R.S.R., KOHL-MOREIRA, J.L., LOPES, P.A.A., SOARES-SANTOS, M., 2010, The Brazilian Virtual Observatory - a new paradigm for astronomy, J. Comp. Int. Sci., 1:187-206

[6] TUOMI, I, 2002, The Lives and Death of Moore's Law, First Monday 7:11, ISSN 13960466, URL http://firstmonday.org/ojs/index.php/fm/article/view/1000.

[7] KAISER, N, 2009, Moore's Law takes the universe, New astronomy with giga-pixel imagers and peta-byte data archives, In Aerospace conference, 2009 IEEE: 1-2, doi: 10.1109/AERO.2009.4839301.

[8] WORSLEY, JC , DRAKE, JD, 2002, Practical PostgreSQL, O'Reilly Media Inc.

[9] BARTHES, R, 1977, Elements of Semiology, Hill and Wang.

[10] SUMATHI, S & ESAKKIRAJAN, S, 2007, Fundamentals of Relational Database Management Systems, Springer-Verlag.

[11] LA BARBERA, F, DE CARVALHO, RR, DE LA ROSA, IG, LOPES, PAA, KOHL-MOREIRA, JL, CAPELATO, HV, 2010, SPIDER - I. Sample and galaxy parameteres in the grizYJHK wavebands, MNRAS 408:1313-1334, doi: 10.1111/j.1365-2966.2010.16850.x.

[12] LA BARBERA, F, DE CARVALHO RR, KOHL-MOREIRA, JL, GAL, RR, SOARES-SANTOS, M, CAPACCIOLI, M, SANTOS, R, SANT'ANA, N, 2008, 2DPHOT: A Multi-Purpose Environment for the Two-Dimensional Analysis of Wide-Field Images, PASP 120:681-702, doi: 10.1086/588614.

[13] BAGUI, S & EARP, R, 2012, Database Design Using Entity Relationship Diagrams, 2nd ed., Taylor & Francis Group.

[14] LA BARBERA, F, DE CARVALHO, RR, DE LA ROSA, IG, GAL, RR, SWINDLE, R, LOPES, PAA, 2010, SPIDER. IV Optical and Near infrared Color Gradients in Early-type Galaxies: New Insight into Correlations with Galaxy Properties, AJ 140: 1528-1556, doi:10.1088/0004-1045 6256/140/5/1528.

[15] FRANK, L, 1988, Database Theory and Practise, Addison-Wesley Pub. Co.

[16] BERTIN, E, ARNOUTS S, 1996, SExtractor: Software for source extraction, A&AS 117:393-404.

[17] ROHDE, D, DRINKWATER, M, GALLAGHER, M, DOWS, T, DOYLE, M, 2004, Machine Learning for Matching Astronomy Catalogues, In ZHEN RONG, Y, EVERSON, R, HUYUN, Y, editors, Lecture Notes in Computer Science, 3117:702-707, Berlin-Heidelberg, Springer Verlag.

[18] MURTAGH, F, 1992, A new approach to point-pattern matching, PASP 104:301-307, doi: 10.1086/132993.


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