Table of Contents and Citation Instructions

Citation Instructions

When citing websites the principles are similar to citing printed sources. We recommend the following citation:

Data Management Guidelines [Online]. Tampere: Finnish Social Science Data Archive [distributor and producer]. <https://www.fsd.tuni.fi/en/services/data-management-guidelines/>. urn:nbn:fi:fsd:V-201504200002 (cited dd.mm.yyyy.)

Authors: Antti Ketola, Mari Kleemola, Arja Kuula-Luumi, Tuomas J. Alaterä, Jarkko Päivärinta, Jani Hautamäki, Sanni Haverinen and Jouni Sivonen. These guidelines are maintained by the Finnish Social Science Data Archive.

Table of Contents

• Why Are Research Data Managed and Reused?
  • Part of good scientific practice
  • Research funders require data management
  • Benefits of reuse and open access
  • Research data life cycle
• Data Management Planning
  • Data management plan
  • 1. The data
  • 2. Rights
  • 3. Confidentiality and data security
  • 4. File formats and programs
  • 5. Documentation on data processing and content
  • 6. Life cycle
• Copyright and Agreements
  • Copyright
  • Agreements between researchers
  • Agreement with external parties concerning the transfer of copyright and ownership rights
  • Authorship in scientific publications and research data
• Informing Research Participants about the Processing of Their Personal Data
  • 1. General
  • 2. Clarity requirements and form of the information
  • 3. Timing for providing the information
  • 4. Content of the information
  • 5. Exceptions to the obligation to provide information
  • 6. Informing research participants about archiving
• File Formats and Software
  • Converting files
  • Digitisation of research data
  • Data matrices and statistical packages
  • Textual data
  • Visual data
  • Audio and video recordings
• Processing Quantitative Data Files
  • Recording a data matrix
  • Variable names and labels
  • Values and value labels
  • Recoding variables
  • Missing data
  • Weight variables
  • Using syntax
  • Naming and managing data files
• Processing Quantitative Data Files: Syntax
• Processing Qualitative Data Files
  • Transcription
  • Organising and naming data files
  • Documenting background information
  • Entering background information into data files
  • Storing background information in a separate file
  • Data collected from periodicals
  • Digital photographs of archived paper records
• Anonymisation and Personal Data
  • What is personal data?
  • What kind of information constitutes identifiable data?
  • Processing research data containing identifiers
  • Terms to understand
  • When are data anonymous and when pseudonymous?
  • Minimisation, or how to collect only the minimum amount of personal data necessary
  • Anonymisation principles
  • Anonymisation of quantitative data
  • Anonymisation of qualitative data
  • Identifier type table
• Data Description and Metadata
  • Storing metadata
  • Description of how the study was conducted
  • Instrument of data collection
  • Description of data files
  • Description of variables
  • Availability information
  • Contextual information and paradata
  • Metadata standards
• Physical Data Storage
  • Naming and managing files
  • Backup and recovery
  • Migration and refreshing: keeping data accessible
  • Storage media
  • Data security
  • Data disposal
  • Preservation of data in paper form
• Guides, Examples and Vocabularies
  • Examples and Guides
  • Vocabularies
• Vocabularies
  • CESSDA Topic Classification
  • Analysis unit
  • Mode of collection
  • Sampling procedure
  • Time method
  • Type of Instrument
  • Field of study
• Archiving data collected from minors
  • Rights of minors as research participants to be informed about the research
  • What should be taken into account when planning the archiving and reuse of data collected from minors?
• FSD's Guidelines in DMPTuuli
  • General description of data
  • Ethical and legal compliance
  • Documentation and metadata
  • Storage and backup during the research project
  • Opening, publishing and archiving the data after the research project
  • Data management resources
• Use and archiving social media data
  • What to take into account when conducting social media research?
  • Archiving social media data
• Background Information and Background Variables
  • Gender
  • Age
  • Location of residence, country of birth
  • Situation in life, economic activity, occupational and employment status
  • Level of education
  • Field of education
  • Branch of science
  • Occupational group, status in employment
  • Sector of employment, industry of employment
  • Income, social class
  • Religious affiliation, degree of religiosity