%A Hucka,Michael %A Nickerson,David P. %A Bader,Gary D. %A Bergmann,Frank T. %A Cooper,Jonathan %A Demir,Emek %A Garny,Alan %A Golebiewski,Martin %A Myers,Chris J. %A Schreiber,Falk %A Waltemath,Dagmar %A Le Novère,Nicolas %D 2015 %J Frontiers in Bioengineering and Biotechnology %C %F %G English %K standardization,data sharing,reproducible science,computational modeling,Biology,File formats %Q %R 10.3389/fbioe.2015.00019 %W %L %M %P %7 %8 2015-February-24 %9 Perspective %+ Dr Michael Hucka,Computing and Mathematical Sciences, California Institute of Technology,USA,mhucka@caltech.edu %# %! Promoting coordinated development of community standards %* %< %T Promoting Coordinated Development of Community-Based Information Standards for Modeling in Biology: The COMBINE Initiative %U https://www.frontiersin.org/articles/10.3389/fbioe.2015.00019 %V 3 %0 JOURNAL ARTICLE %@ 2296-4185 %X The Computational Modeling in Biology Network (COMBINE) is a consortium of groups involved in the development of open community standards and formats used in computational modeling in biology. COMBINE’s aim is to act as a coordinator, facilitator, and resource for different standardization efforts whose domains of use cover related areas of the computational biology space. In this perspective article, we summarize COMBINE, its general organization, and the community standards and other efforts involved in it. Our goals are to help guide readers toward standards that may be suitable for their research activities, as well as to direct interested readers to relevant communities where they can best expect to receive assistance in how to develop interoperable computational models.