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Mandatory information Administrative data Study description Topics and Keywords Dataset Data collection Publications

  • The study description can be edited until you choose to send it to SND, which occurs in stage 4 "Send to SND."
  • When you click on the Save button the first time an email will be sent to the address specified in the field Depositor. The e-mail contains a link to the study description that can be used to continue the description at a later time. The link is active until the description is submitted to SND.

Depositor of description/data

The person who sends the data description and/or data to SND.

Title of the study
The level of accessibility for research data deposited or described. Data made accessible through SND have different accessibility levels. These comprise unrestricted access as well as conditional accessibility. A possible condition could be that SND have to obtain the consent of the data principal before supplying data to someone. Select data accessibility level when data are deposited at SND. For material which is only described at SND, select level 3a or 3b.
Possible restrictions on the accessibility of the data (e.g. embargo time or restrictions on particular user groups) or in connection to their use (e.g. required citation of a particular data or methodology article in publications).
Check if data shall be made available for closed review process at a scientific journal
The organisation that owns and has archival responsibility for the study. Usually the university or other research institution where the study is/has been conducted.

Principal investigator and Contact for data

Information about the primary investigator and contact person for the data. Specify role and fill in contact information. To add Principal investigators, click on the button "Add Principal investigator and Contact for data" further down the page.

Role
Person responsible for the substantive and intellectual content of the described object.
Corporate body or agency responsible for the substantive and intellectual content of the described object.
Person/s who SND can contact or refer to for more information.
Organisation with administrative responsibility for the implementation of the study, e.g. the department at the university.
URL (web address) for the study homepage, if any.
If the study has been ethically reviewed (in accordance with the Act Concerning the Ethical Review of Research Involving Humans [SFS 2003:460]), specify which ethical review board that approved the study, and their reference number.

Funding Information

Information about funding. Specify funding agency/-ies and, if possible, the funding agency reference number/s.

Describe the purpose and aims of the study in a few sentences.
An unformatted summary describing the purpose, nature, and scope of the data collection, special characteristics of its contents, major subject areas covered, and what questions the primary investigators attempted to answer when they conducted the study. (Approx. 200–300 words.)

Time period(s) investigated

The data from this study cover this/these time period/s. Give start and end date (or “ongoing” if the study is not completed).


The country in which data were collected. Use free-text field (Geographic description) to specify an area that is not listed among the suggestions, or to describe in more detail.
You can add more countries by autocomplete and select.
Free-text field for a more detailed description of the geographic area, or to specify an area that is not listed among the suggestions for the previous field (Geographic location).
The group of individuals or other objects that are the object of research and to which any analytic results refer.
Check if the study is connected to a biobank. Biobank samples from research in health care and medicine include e.g. blood and tissue samples, and are usually referred to as human biological material.
Check if the data contain personal data.

According to the Personal Data Act (PuL, 1998:204), personal data are all kinds of information that is directly or indirectly referable to a natural person who is alive. PuL applies among other things to whether and how personal data can be processed for research purposes. The Act does not apply to anonymised data. Anonymising personal data requires the removal of all means of identification; information in the data must not be possible to connect to a natural person who is alive. Therefore any code and encryption keys must be destroyed, and secondary confidentiality must be ensured.
Select one or more options from the list to specify the sampling procedure/s. Use the free-text field for a more detailed description.
Free-text field for description of sampling procedure/s.
Select one or more options from the list to describe the entity being analysed in the study or in the variable.
Select one or more options from the list to describe how data collection is designed to be performed over time.
Any additional information about the study not covered by any of the fields above.
Specific keywords that describe the contents of the study. Keywords will be auto-completed with suggestions from previously entered keywords, ELSST and MeSH terms. ELSST, the European Language Social Science Thesaurus, is a multilingual thesaurus for the social sciences. MeSH® (Medical Subject Headings) is the controlled vocabulary used by the U.S. National Library of Medicine (NLM), specifically developed in order to describe health data. The Swedish translation is done by the Karolinska Institute university library.
Subject categories are selected by checking relevant options in the list of Swedish Research Categories (2011)
Subject categories are selected by checking relevant options in the list of CESSDA Topical Classifications

Datasets

A dataset is supposed to reflect the data that has been collected and the description of the dataset can, for example, include number of variables, type of data and response rate. In a quantitative cross-sectional study the data collection often produces one dataset while other types of studies (such as longitudinal or qualitative) can result in multiple datasets. Press "Add dataset" further down the page to describe more datasets.

Title of the dataset.
Brief description of the dataset, such as how data have been collected, whether special tools or methods have been used, or other information that pertains to the dataset.
Enter keywords if they differ from those given in the corresponding field under the study description. (Relevant in particular if the study consists of several datasets; specific keywords can be entered for each dataset.)
Select one or more alternatives from the list to indicate what kind(s) of data the dataset contains.

Time period investigated

The material in this dataset covers this time period. Give start and end date.


Number of variables in the dataset, if applicable.
Number of individuals or objects in the dataset, if applicable.
Response rate in per cent (%) for participation in the study dataset, if applicable. Since response rate can be calculated in different ways (e.g depending on the non-response and purpose) it is possible to write a more detailed description under the field "Other information about the dataset".
Specify in which country data in this dataset have been collected, if this differs from the corresponding field in the study description. (Relevant in particular if the study contains several datasets, in which case specific countries can be specified for each dataset.)
You can add more countries by autocomplete and select.
Provide a description of the geographic area, if it differs from corresponding field in the study description. (Relevant in particular if the study contains several datasets, in which case separate descriptions can be provided for each dataset.)
If the material is available online, provide a URL for where SND can download it (from e.g. Dropbox or some other cloud service).
Check if the data contain personal data.

According to the Personal Data Act (PuL, 1998:204), personal data are all kinds of information that is directly or indirectly referable to a natural person who is alive. PuL applies among other things to whether and how personal data can be processed for research purposes. The Act does not apply to anonymised data. Anonymising personal data requires the removal of all means of identification; information in the data must not be possible to connect to a natural person who is alive. Therefore any code and encryption keys must be destroyed, and secondary confidentiality must be ensured.
Any additional information about the dataset which is not covered by other fields. For example a more detailed description of the response rate.

Collection events

Specific event when data for the study have been collected. Provide, if possible, timespan, collection method, and data collector.

The individual/agency/institution or similar responsible for administering questionnaires or interviews, or for compiling data.
The mode of collection, e.g. self-administered questionnaire, participant field observation, physical measurements and tests etc.

Publications

The bibliographic citation of the publication (author, title, journal, year of publication, etc.)
Year of publication. (Used to sort publications chronologically.)
Persistent identifier, such as doi or URL (web address), for the publication.
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