Source – Uncovering Stories of Art in Ireland: digitizing Irish art research collections in the National Gallery of Ireland

2020 ◽  
Vol 45 (2) ◽  
pp. 55-60
Author(s):  
Andrea Lydon
Keyword(s):  
National Gallery ◽  
History And Memory ◽  
Online Resource ◽  
Culture Heritage ◽  
Art Research ◽  
Irish Art

In 2017 the National Gallery of Ireland was awarded funding from the Department of Culture, Heritage and the Gaeltacht (DCHG) for the development of an online resource, focusing on its Irish art research collections. Entitled Source – Uncovering Stories of Art in Ireland, this multi-annual project aims to catalogue and digitise the collections in the ESB CSIA and ensure that these valuable collections relating to Ireland's artistic history and memory are preserved and can be easily accessed by researchers. Now in its penultimate year, Source will be launched in 2021.

scholarly journals The National Gallery of Ireland Library

2000 ◽  
Vol 25 (3) ◽  
pp. 21-24 ◽  
Author(s):  
Catríona Cannon
Keyword(s):  
National Gallery ◽  
Major Revision ◽  
Classification Procedures ◽  
Irish Art

The National Gallery of Ireland Library has recently re-opened to internal and external readers after a number of years. The concentration so far has been on reader services, while a major revision of the cataloguing and classification procedures is being undertaken. New projects to organise the Gallery’s Archives and make them more accessible for research, and to open a sponsored Centre for the Study of Irish Art in 2002-3, show the Library’s revived interest in reaching its potential users.

Discover Irish Art at the National Gallery of Ireland

Circa ◽  
2000 ◽  
pp. 53
Author(s):  
Conn O'Donovan ◽  
Marie Burke ◽  
Síghle Bhreathnach-Lynch
Keyword(s):  
National Gallery ◽  
Irish Art

Searching for the causes why some of the paintings by Mihaly Munkacsy are darkening

1990 ◽  
Vol 48 (2) ◽  
pp. 204-205
Author(s):  
Imre Pozsgai ◽  
Klara Erdöhalmi-Torok
Keyword(s):  
Electron Beam ◽  
Cross Section ◽  
Polyester Resin ◽  
National Gallery ◽  
X Ray ◽  
Art Historians ◽  
Made In ◽  
Grinding And Polishing

The paintings by the great Hungarian master Mihaly Munkacsy (1844-1900) made in an 8-9 years period of his activity are deteriorating. The most conspicuous sign of the deterioration is an intensive darkening. We have made an attempt by electron beam microanalysis to clarify the causes of the darkening. The importance of a study like this is increased by the fact that a similar darkening can be observed on the paintings by Munkacsy’s contemporaries e.g Courbet and Makart. A thick brown mass the so called bitumen used by Munkacsy for grounding and also as a paint is believed by the art historians to cause the darkening.For this study, paint specimens were taken from the following paintings: “Studio”, “Farewell” and the “Portrait of the Master’s Wife”, all of them are the property of the Hungarian National Gallery. The paint samples were embedded in a polyester resin “Poly-Pol PS-230” and after grinding and polishing their cross section was used for x-ray mapping.

Development and Use of TeenCentral.Net: An Interactive Online Resource for Teens

2007 ◽  
Author(s):  
Julius Licata ◽  
Lorrie Henderson ◽  
Krista McIlhaney ◽  
Thomas E. Wasser
Keyword(s):  
Online Resource

Factors of Price Formation for Art Objects With the Application of Text Analysis of Twitter News

2020 ◽  
pp. 114-131
Author(s):  
Elena A. Fedorova ◽  
Diana V. Zaripova ◽  
Igor S. Demin
Keyword(s):  
Text Analysis ◽  
Price Formation ◽  
Works Of Art ◽  
Art Objects ◽  
Online Resource ◽  
The Difference

This work confirmed the hypotheses about the influence of the mood index on Twitter on the pricing of art objects and the difference between the experts' estimations and the final price of the auction. The hypotheses were tested with the use of a sample of 83 paintings selected on the basis of ratings of ARTNET's online resource about the most expensive works of art ever sold in the last 10–15 years. The sample consisted of 25 artists, for each of them was made an index of moods on Twitter. This index was created by a sentimental analysis of each tweet about the artist on the hashtag for a period of 2 to 4 months between the announcements of sales in the open sources and the direct sale of the work with the use of the two dictionaries AFINN and NRC.

Sign in / Sign up

Export Citation Format

Share Document