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Text and Data Mining

Published online by Cambridge University Press:  19 March 2020

Heather Dawson
Affiliation:
LSE Library
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Summary

Typical questions

  • • Which publisher's websites have APIs that facilitate TDM activities?

  • • Is data mining legal in the UK?

Starting points

  • • Text and data mining (TDM) is a growing area of research that is linked to the field of big data. Very basically, they are methods of research using special software to explore and analyse large amounts of data to reveal hidden patterns, concepts and themes.

  • • This is highly specialised work that requires access to large scale data and the necessary skills to manipulate it. Many scholarly publishers, databases and products offer APIs (Application Programming Interfaces) to allow users with programming skills to extract data for research purposes. Students should always check if local experts are available.

  • • Another key concern is the appropriate use of licenses. Users should always be advised to check these carefully. Library staff working with serials/electronic subscriptions are usually aware of conditions for their own databases. There may also be specialist subject support and/or research support librarians who can assist. The general resources listed below will help supplement these. Many are provided by digital humanities specialists. Technology is advancing rapidly so these may need to be re-checked frequently!

Recommended resources

Key organisations

Association for Computers and the Humanities

ach.org

US organisation that supports computer-assisted research, teaching and software and development in the humanities. Website lists courses, news and events.

Alliance of Digital Humanities Organizations

adho.org

Promotes and supports digital research and teaching across all arts and humanities disciplines. Supports the Digital Studies/Le champ numérique (www. digitalstudies.org). Open access, peer-reviewed electronic journal from the Société canadienne des humanités numériques (CSDH/SCHN).

National Centre for Text Mining (NaCTeM)

www.nactem.ac.uk

World's first publicly-funded text mining centre. Operated by the University of Manchester. Provides support, advice and information on TM technologies for the UK academic community. Website includes news, courses and links to resources.

OpenMinTeD (Open Mining Infrastructure for Text and Data)

openminted.eu

EU-funded project aiming to develop a registry for text and data mining. It provides news and links to information on courses, events and online tutorials suitable for researchers.

Study guides and tools

Crossref Text and Data Mining Service [Specialist]

tdmsupport.crossref.org

Crossref is a non-profit organisation of publishers. It provides metadata API for researchers to access the full text of content identified by Crossref digital object identifiers (DOIs) from different publisher sites.

Type
Chapter
Information
Publisher: Facet
Print publication year: 2019

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  • Text and Data Mining
  • Heather Dawson
  • Book: A-Z Common Reference Questions for Academic Librarians
  • Online publication: 19 March 2020
  • Chapter DOI: https://doi.org/10.29085/9781783304134.097
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  • Text and Data Mining
  • Heather Dawson
  • Book: A-Z Common Reference Questions for Academic Librarians
  • Online publication: 19 March 2020
  • Chapter DOI: https://doi.org/10.29085/9781783304134.097
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Text and Data Mining
  • Heather Dawson
  • Book: A-Z Common Reference Questions for Academic Librarians
  • Online publication: 19 March 2020
  • Chapter DOI: https://doi.org/10.29085/9781783304134.097
Available formats
×