Chand BB, Dr. Pravin Kumar Choudhary and Dr. B. Ramesha abstract: Digital curation (DC) is the selection, preservation, maintenance, collection and archiving of digital assets. It establishes, maintains and adds value to repositories of digital data for present and future use. Digital curation of research data across disciplines has significant advantage to the research community. Gathering research data is not only time consuming but involves huge cost. Moreover by making the data available to the wider research community will not only enhance the knowledge on the subject with increased research output but also improve the rate of return on the research investment. Social scientists use micro data to study the social and economic behaviour of research units. Over the last decade policy change by the sponsoring agencies also make it mandatory to archive research data for the benefit of the research community. In this paper authors have studied the different standards such as Data Documentation Initiative, Qualitative Data Exchange, PREMIS, Statistical Data, Metadata Exchange, and tools available for sharing social science research data. Five major metadata standards are used for description and exchange of research data is being explained. Further the article highlight the tools that can be used for digital curation of research data. Major data archives in social science are also mentioned to study the best practices and current situation. Authors proposed a working and viable model for digital curation of social science research data available in Dr. VKRV Rao Library, Institute for Social and Economic Change, Bengaluru, India.