Data library

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Data Repository and an Archive Repository

A data library, data archive, or data repository is a collection of numeric and/or geospatial data sets for secondary use in research. A data library is normally part of a larger institution (academic, corporate, scientific, medical, governmental, etc.). established for research data archiving and to serve the data users of that organisation. The data library tends to house local data collections and provides access to them through various means (CD-/DVD-ROMs or central server for download). A data library may also maintain subscriptions to licensed data resources for its users to access the information. Whether a data library is also considered a data archive may depend on the extent of unique holdings in the collection, whether long-term preservation services are offered, and whether it serves a broader community (as national data archives do). Most public data libraries are listed in the Registry of Research Data Repositories.

Importance and services[edit]

In August 2001, the Association of Research Libraries (ARL) published a report[1] presenting results from a survey of ARL member institutions involved in collecting and providing services for numeric data resources.

Library service providing support at the institutional level for the use of numerical and other types of datasets in research. Amongst the support activities typically available:

  • Reference Assistance — locating numeric or geospatial datasets containing measurable variables on a particular topic or group of topics, in response to a user query.
  • User Instruction — providing hands-on training to groups of users in locating data resources on particular topics, how to download data and read it into spreadsheet, statistical, database, or GIS packages, how to interpret codebooks and other documentation.
  • Technical Assistance - including easing registration procedures, troubleshooting problems with the dataset, such as errors in the documentation, reformatting data into something a user can work with, and helping with statistical methodology.
  • Collection Development & Management - acquire, maintain, and manage a collection of data files used for secondary analysis by the local user community; purchase institutional data subscriptions; act as a site representative to data providers and national data archives for the institution.
  • Preservation and Data Sharing Services - act on a strategy of preservation of datasets in the collection, such as media refreshment and file format migration; download and keep records on updated versions from a central repository. Also, assist users in preparing original data for secondary use by others; either for deposit in a central or institutional repository, or for less formal ways of sharing data. This may also involve marking up the data into an appropriate XML standard, such as the Data Documentation Initiative, or adding other metadata to facilitate online discovery.


Natural sciences[edit]

The following list refers to scientific data archives.


The following list refers to platforms made from multiple sources and domain agnostic

Social sciences[edit]

In the social sciences, data libraries are referred to as data archives.[2] Data archives are professional institutions for the acquisition, preparation, preservation, and dissemination of social and behavioral data. Data archives in the social sciences evolved in the 1950s and have been perceived as an international movement:

By 1964 the International Social Science Council (ISSC) had sponsored a second conference on Social Science Data Archives and had a standing Committee on Social Science Data, both of which stimulated the data archives movement. By the beginning of the twenty-first century, most developed countries and some developing countries had organized formal and well-functioning national data archives. In addition, college and university campuses often have `data libraries' that make data available to their faculty, staff, and students; most of these bear minimal archival responsibility, relying for that function on a national institution (Rockwell, 2001, p. 3227).[3]

See also[edit]

Cited references[edit]

  1. ^ SPEC Kit 263: Numeric Data Products and Services
  2. ^ White,Howard D. (1977). Machine-Readable Social Science Data. Drexel Library Quarterly 13 (January, 1977):1-110.
  3. ^ Rockwell, R. C. (2001). Data Archives: International. IN: Smelser, N. J. & Baltes, P. B. (eds.) International Encyclopedia of the Social and Behavioral Sciences (vol. 5, pp. 3225- 3230). Amsterdam: Elsevier

Further reading[edit]

  • Clubb, J., Austin, E., and Geda, C. "'Sharing research data in the social sciences.'" In Sharing Research Data, S. Fienberg, M. Martin, and M. Straf, Eds. National Academy Press, Washington, D.C., 1985, 39-88.
  • Geraci, D., Humphrey, C., and Jacobs, J. Data Basics. Canadian Library Association, Ottawa, ON, 2005.
  • Heim, Kathleen M. "Social Scientific Information Needs for Numeric Data: The Evolution of the International Data Archive Infrastructure." Collection Management 9 (Spring 1987): 1-53.
  • Martinez, Luis & Macdonald, Stuart, "'Supporting local data users in the UK academic community'". Ariadne, issue 44, July 2005.
  • See the IASSIST Bibliography of Selected Works Archived 2016-03-03 at the Wayback Machine for articles tracing the history of data libraries and its relationship to the archivist profession, going back to the 1960s and '70s up to 1996.
  • See IASSIST Quarterly articles from 1993 to the present, focusing on data libraries, data archives, data support, and information technology for the social sciences.

External links[edit]


  • IASSIST (International Association for Social Science Information and Service Technology)
  • DISC-UK (Data Information Specialists Committee—United Kingdom)
  • APDU (Association of Public Data Users - USA)
  • CAPDU (Canadian Association of Public Data Users)