Kursplansdatabas för forskarutbildningskurser
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Kursplansdatabas för forskarutbildningskurser
KURSPLANER FÖR FORSKARUTBILDNINGSKURSER
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| Svensk benämning | God datahantering inom epidemiologisk forskning |
|---|---|
| Engelsk benämning | Good Data Management Practice in Epidemiological Research |
| Kursnummer | 1992 |
| Antal högskolepoäng | 1.5 |
| Noteringar |
Kursen uppfyller kraven för en allmänvetenskaplig kurs. |
| Kursansvarig institution | Institutionen för medicinsk epidemiologi och biostatistik |
| Särskild behörighet | |
| Betygsskala | Godkänd/Icke godkänd |
| Fastställd av | The Board of Doctoral Education |
| Datum för fastställande | 2013-04-08 |
| Kursens syfte | |
| Kursens lärandemål | After successfully completing this course you as a student are expected to be able to: - argue for the importance of ethical practice when using personal data in epidemiological research and identify ethical issues relevant to your own research. - document your research in a manner understandable by another researcher. - argue for the importance and benefits of structured procedures, such as data standards, for collecting and managing data in epidemiological studies. - archive a completed epidemiological research project according to KI guidelines and Swedish law. - apply the personal data act (Personuppgiftslagen (PUL)) and the legal responsibilities of researchers when using personal data in epidemiological research. - propose and implement appropriate IT-security procedures for your own research. |
| Kursens innehåll | The course covers legal and ethical aspects of using personal data in epidemiological research, including the definition of personal data and the legal roles and responsibilities of researchers in transferring and maintaining data. The course gives theory and practise of data collection and management, documentation, security, transfer, and archiving. The guidelines and standards developed and employed at the Department of Medical Epidemiology and Biostatistics (MEB) will be used as a case study throughout much of the course. MEB's data standard will be presented with discussion of the background and importance. The course will also present MEB's approach to using an analysis plan as a planning and documentation tool for data management and statistical analysis. |
| Arbetsformer | Lectures, group discussions, computer exercises, case studies. |
| Obligatoriska moment | Only the examination is compulsory. |
| Examination | To pass the course, the student has to show that the learning outcomes have been achieved. The grade is based on a written examination. Students who do not obtain a passing grade in the first examination will be offered a second chance to resubmit the examination within two months of the final day of the course. Students who do not obtain a passing grade at the first two examinations will be given top priority for admission the next time the course is offered. |
| Kurslitteratur och övriga läromedel | - Personuppgifter i forskningen - vilka regler gäller? http://www.datainspektionen.se/Documents/faktabroschyr-pul-forskning.pdf - Take Good Care of Your Data (MEB version) by Svend Juul from Aarhus University (64 sidor). http://ki.se/content/1/c6/04/09/68/TakeGoodCareOfYourData_MEBversion20060520.pdf - KIs guidelines for research documentationand archiving. http://internwebben.ki.se/en/research-documentation-0 |
Kursansvarig |
Paul Dickman Institutionen för medicinsk epidemiologi och biostatistik 0852486186 0704382333 Paul.Dickman@ki.se Nobels väg 12A 112 44 Stockholm |
| Kontaktpersoner |
Marie Beckeman Institutionen för medicinsk epidemiologi och biostatistik +46 8 524 82471 Marie.Beckeman@ki.se |
