@misc{Hausstein2017, author = {Hausstein, Brigitte}, title = {Discover Social Science Data: gesisDataSearch}, series = {PosterPoster-Pr{\"a}sentationen (31.05.2017, 12:15 - 13:15 Uhr, Zwischenebene / Foyer)}, journal = {PosterPoster-Pr{\"a}sentationen (31.05.2017, 12:15 - 13:15 Uhr, Zwischenebene / Foyer)}, url = {http://nbn-resolving.de/urn:nbn:de:0290-opus4-28049}, year = {2017}, abstract = {On the poster I will introduce a new service developed by the GESIS Leibniz Institute for the Social Sciences. gesisDataSearch is the BETA version of a discovery service based on up-to-date metadata that are harvested from social science research data collections worldwide. It allows users to:/find collections of social science data quickly and easily, irrespective of their origin/ get quick overviews of available data /search and browse through collections using standardized facets./The search results are displayed in a user-friendly format and listed in order of relevance and time. The access to the data objects is given through references provided in the metadata. gesisDataSearch includes Dublin Core metadata from more than 30 data providers among them the ICPSR and the CESSDA Service Providers GESIS, UKDA, SND, DDA, FSD, CSDA, NSD and LiDA. Most of the metadata are harvested from metadata aggregators such as da|ra, DataCite and DataVerse. gesisDataSearch is an agency service not only for data providers to gain greater visibility and researchers to find data and manage their data references, but also for other service providers to access data by exposing its structured metadata via OAI-PMH. gesisDataSearch complements the retrieval services of GESIS by enabling users to find data that is not stored itself in the GESIS Data Archive. gesisDataSearch is in development and we are looking forward to the feedback from the participants of the Bibliothekartag.In addition to the poster we will provide online demos (iPad) during the poster presentation.}, language = {en} }