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Help on searching data
 Help on searching data
Search

Search form allows you to search for data sets in up to 3 or all fields of data set description and use logical operators AND, OR, NOT.

Search function is possible in these fields of data description:

  • author – search is executed in 2.1.2.1 AuthEnty and 2.1.2.2 othId fields of DDI standard. Category of authors include research project leader, authors of methodological part of the research, authors of questionnaire and sometimes other persons; if authors are unknown, research funding agency is indicated.
  • title – search is executed in 2.1.1.1 titl, 2.1.1.2 subTitl, 2.1.1.3 altTitl and 2.1.1.4 parTitl fields of DDI Standard: title, subtitle, alternative title and parallel title.
  • keyword – search is executed in keywords and top classification fields (DDI fields 2.2.1.1 keyword and2.2.1.2 topcClas.
    Alternatively, you can search for keywords in with the help of HASSET and ELLST thesauri.
  • summary – searches in summary field, where research objectives, methods and other information are provided. (DDI field 2.2.2 abstract).
  • year of research – searches in DDI field 2.1.3.3 prodDatefield, where the end year of the data collection (field) stage is indicated.
  • all fields – search is executed in all previously mentioned fields.
Browse

Sometimes it is easier to find data by browsing:

  • browse all data – a list of all data is provided, starting with the new ones (sorted by the year of research completion and not by date of publication in LiDA catalogue!).
  • browse by author - alphabetical list of research authors is provided with the links to their research data in LiDA. Authors are: research project leader, authors of research methodology and questionnaires, and other persons; if the authors are unknown, funding entites are indicated. Information comes from DDI fields 2.1.2.1 AuthEnty, 2.1.2.2 othId, and 2.1.3.1 producer.
  • browse by theme – two-level hierarchy of themes with links to research data, themes and sub-themes coming from DDI field 2.2.1.2 topcClas). A research data can belong to several themes and sub-themes. Top classification is adapted to Lithuanian language from UK Data Archive classification of themes.
  • browse by depositor – depositors (organisations or research leaders) are listed in alphabetical order (data taken from DDI field 2.1.4.3 depositr).
  • browse by series – a list of series is provided. A series may include a group of research that has similar thematic content and this is done by LiDA staff during data cataloguing process (data from DDI field 2.1.5.1 serName).

Search variables - searches for keywords in metadata of variables. In some of the survey data all of the variables (e.g., questions in a questionnaire) are described by keywords, therefore it is possible to find all studies that employed identical or similar questions/variables. Variables are described using the same vocabulary of keywords as documenting the data set (see search by keyword and search with HASSET and ELLST thesauri. The search is executed in these fields of a variable: keywords, label and a text of a question in questionnaire. [coming soon]

Browse by theme – for the sake of convenience, browse by theme link is replicated in the main left menu. Two-level hierarchy of themes with links to research data is displayed, themes and sub-themes coming from DDI field 2.2.1.2 topcClas). A research data can belong to several themes and sub-themes. Top classification is adapted to Lithuanian language from UK Data Archive classification of themes.

Specialized collections – in a meanwhile all data sets belong to Survey data collection. In the near future these exemplary collections will be available: Historical statistical data sets, Data on Lithuanian political system, Qualitative data sets. [coming soon]

Associated resources: data in international archives:

ICPSR– Inter-University Consortium for Political and Social Research (Inter-University Consortium for Political and Social Research) (ICPSR) – world’s largest data archive in social sciences and humanities with access to more than 500 000 data sets form various disciplines. ICPSR provides more than 80 data sets related to Lithuania.
CESSDA– search in the catalogue of Council of European Social Science Data Archives (CESSDA), the umbrella organisation for European scholar data archives, founded in 1976 m.

Associated resources: other resources:

Search publications database– user can search for publications that use data from data sets provided in LiDA. Possible search fields: author's surname, publication title, publisher.[coming soon]
Lithuanian survey research database- Surveys in Lithuania lists all surveys in Lithuania completed in the period from year 1989 to 2010.
Database of historical statistical sources– in Historical sources the sortable list of published sources containing statistical information on Lithuania from 16th century to 1990 is displayed.

Main depositors list include depositors (organisations and research team leaders) that deposited the largest number of data sets to LiDA.

New data sets – a list of recently published data sets in LiDA (data coming from DDI field 2.1.4.4 depDate).

Searching with HASSET and ELLST thesauri (controlled vocabularies) helps to find broader, narrower or related terms to a given keyword and get a list of data sets that are related to these keywords and terms. Keywords from HASSET and ELLST thesauri are assigned to data sets and (in some cases) to variables of a data set during cataloguing process in LiDA.

Alternatively, users can search, browse, analyze and download data in  environment that has its own catalogue. To login you must provide user name and password which are automatically sent to the user after filling in the registration form.

Downloading data sets

Users can download data only if they are logged in  environment. A user has to type in his/her user name and password (these are automatically sent to the user after filling in the registration form) in login window.

 

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Nr.2  2009 12–2010 02
Nr.3  2010 03–05
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Updated 2012-02-23