dc.contributor.author | Struminskaya, Bella | de |
dc.contributor.author | Gauly, Britta | de |
dc.contributor.author | Daikeler, Jessica | de |
dc.contributor.author | Khorshed, Julia | de |
dc.contributor.author | Jedinger, Alexander | de |
dc.date.accessioned | 2019-03-08T10:43:21Z | |
dc.date.available | 2019-03-08T10:43:21Z | |
dc.date.issued | 2018 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/61699 | |
dc.description.abstract | Documentation of research results is an essential process within the research lifecycle, which includes the steps of study planning and developing the survey instruments, data collection and preparation, data analysis, and data archiving. Primary researchers have to ensure that the collected data and all accompanying materials are properly documented and archived. This enables the scientific community to understand and reproduce the results of a scientific project. The purpose of this survey guideline is to provide a brief introduction and an overview about data preparation and data documentation in order to help primary researchers to make their data and other study-related materials long-term accessible. This overview will therefore help researchers to comply with the principles of reproducibility as a crucial aspect of good scientific practice. This guideline will be useful for researchers who are in the stages of planning a study as well as for those who have already collected data and would like to prepare it for archiving. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | Data Sharing | de |
dc.title | Survey Data Documentation | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.publisher.country | DEU | |
dc.publisher.city | Mannheim | de |
dc.source.series | GESIS Survey Guidelines | |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.thesoz | Archiv | de |
dc.subject.thesoz | Datenzugang | de |
dc.subject.thesoz | archives | en |
dc.subject.thesoz | data access | en |
dc.subject.thesoz | Datendokumentation | de |
dc.subject.thesoz | data preparation | en |
dc.subject.thesoz | data documentation | en |
dc.subject.thesoz | Datenaufbereitung | de |
dc.identifier.urn | urn:nbn:de:0168-ssoar-61699-2 | |
dc.rights.licence | Creative Commons - Attribution-NonCommercial 4.0 | en |
dc.rights.licence | Creative Commons - Namensnennung, Nicht-kommerz. 4.0 | de |
ssoar.contributor.institution | GESIS | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10036724 | |
internal.identifier.thesoz | 10084126 | |
internal.identifier.thesoz | 10040537 | |
internal.identifier.thesoz | 10040524 | |
dc.type.stock | monograph | de |
dc.type.document | Arbeitspapier | de |
dc.type.document | working paper | en |
dc.source.pageinfo | 7 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.document | 3 | |
dc.contributor.corporateeditor | GESIS - Leibniz-Institut für Sozialwissenschaften | |
internal.identifier.corporateeditor | 133 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.15465/gesis-sg_en_24 | de |
dc.description.pubstatus | Erstveröffentlichung | de |
dc.description.pubstatus | Primary Publication | en |
internal.identifier.licence | 32 | |
internal.identifier.pubstatus | 5 | |
internal.identifier.review | 1 | |
internal.identifier.series | 1376 | |
dc.subject.classhort | 10100 | de |
ssoar.wgl.collection | true | de |
internal.pdf.wellformed | true | |
internal.pdf.ocr | null Page_1 Page_2 Page_4 Page_5 Page_6 Page_7 Page_8 Page_9 | |
internal.pdf.encrypted | false | |