TY  - BOOK
AU  - Corti,Louise
AU  - Eynden,Veerle van den
AU  - Bishop,Libby
AU  - Woollard,Matthew
TI  - Managing and sharing research data: a guide to good practice 
SN  - 9781446267257 (hbk.)
U1  - 300.72 LOU 23
PY  - 2014///
CY  - New Delhi : 
PB  - Sage Publications
KW  - Social sciences
KW  - Research
KW  - Intellectual cooperation
KW  - Database management
KW  - Data processing
KW  - Einführung
N1  - Companion website with additional exercises and links from the UK Data Service available at: http://ukdataservice.ac.uk/manage-data/handbook; Includes bibliographical references and index; The importance of managing and sharing research data -- The research data lifecycle -- Research data management planning -- Documenting and providing context for data -- Formatting and organizing data -- Storing and transferring data -- Legal and ethical issues in sharing data -- Rights relating to research data -- Collaborative research : data management strategies for research teams and research managers -- Making use of other people's research data : opportunities and limitations -- Publishing and citing research data
N2  - This text looks explicitly at data management and sharing, providing readers with the skill-set needed to successfully produce high quality research assets; Research funders in the UK, USA and across Europe are implementing data management and sharing policies to maximize openness of data, transparency and accountability of the research they support. This book gives post-graduate students, researchers and research support staff the data management skills required in today's changing research environment. The book features guidance on how to plan your research using a data management checklist ; how to format and organize data ; how to store and transfer data ; research ethics and privacy in data sharing and intellectual property rights ; data strategies for collaborative research ; how to publish and cite data and how to make use of other people's research data, illustrated with six real-life case studies of data use

ER  -