/AWMCollectionData

A public, downloadable csv file of the Warhol's collection data. (Still waiting for approval.)

AWMCollectionData - A public, downloadable CSV file of The Andy Warhol Museum's collection data.

Welcome to the Andy Warhol Musuem's Collection Dataset. In an attempt to create transparency, to adhere to current trends regarding Open Access, and to aid researchers and art enthusiasts who are interested in our collection, we are making our collection data public and downloadable as a CSV file.

In this repository you will find data that pertains to all accessioned objects in our collection, a description of the data, and some guidelines on using the data. Please take a minute to familiarize yourself with the structure and guidelines below.

Your feedback and input is always welcome. If you have questions or suggestions, please send them to us with “AWM Dataset” in the subject header of your email.

Data Structure

This dataset release includes all accessioned objects in our database. It contains basic data for each work.

The data is released as a CSV dump. Please note that the CSV file may contain newlines (\n) within any text field, and they often appear within the provenance, medium, description and credit line fields.

Header Type Description Example
Title String The main title that identifies the object or artwork. Judith Green
Date String The human readable date of creation for the object. Note that this is a string and may not be a valid date. 1963
Medium Memo Material of which this object/artwork is made. acrylic and silkscreen ink on linen
Dimensions String The dimensions of the object. 20 x 16 in. (50.8 x 40.6 cm.)
Classification String The name of a group to which the work belongs within the museum's classification scheme, based on similar characteristics. Paintings
Description Memo A physcial description of the object. Painting. Black silkscreen ink on bright orange acrylic paint on linen. Portrait of a woman (Judith Green) with dark hair, facing the viewer, smiling, mouth open, head tilted to the right, wearing a turtleneck. Not signed or dated on recto. Verso unexamined (backing board).
Object Number String This is the number assigned by the museum when it accessions an object. 1998.1.72
Object ID Number A unique number that identifies the record of the object in the collections database. 4825
CatRais String Warhol catalogue raisonné number. 497
On View Number 0 = no, 1 = yes 0
Provenance Memo The ownership history of an object/artwork. Estate of Andy Warhol; The Andy Warhol Foundation for the Visual Arts
Credit Line Memo Identifies and gives credit to the person, foundation, or method by which the object was acquired. The Andy Warhol Museum, Pittsburgh; Founding Collection, Contribution The Andy Warhol Foundation for the Visual Arts, Inc.
Last Name String Last Name of the artist/creator. Warhol
First Name String First Name of the artist/creator. Andy
Role String Describes a person’s involvement with this object. Primary Maker
Culture Group String The nationality of the artist/creator. American
Constituents String Describes a person’s association with this object. Andy Warhol (artist), Judith Green (depicted)
Name/Heading String The name of a type of object to which the work belongs within the museum's classification scheme, based on similar characteristics. Paintings

Usage Guidelines

The dataset contains the data and metadata of approximately 45842 accessioned objects in the collection of The Andy Warhol Museum in Pittsburgh, PA, USA. We are providing this data without restrictions for all to enjoy. We've got a few guidelines, but we've worked hard to make this dataset as open and explorable as possible.

Please contact us if you have any questions.

  1. Download the dataset.
  2. Open Excel.
  3. Choose "Blank Workbook."
  4. Choose "Data" then choose "From Text/CSV."
  5. Find the dataset and import it.
  6. A sample of the dataset will pop up. Change the "File Origin" to "Unicode (UTF-8)."
  7. Click on "Load."

Lack of Images in the Dataset

Images are not covered under the same license as the dataset.

If you would like to license images of artworks in AWM’s collection, please contact the Rights and Reproduction Department.

Dataset Integrity

Collections data is provided for the purposes of exploration, education, experimentation, and fun, but it is to be used at your own risk.

Please be aware that the dataset may contain incomplete data and/or errors. AWM staff does not guarantee or provide curatorial approval for these records.

At AWM, research is always ongoing, and so our understanding of these objects and their metadata are subject to change. This dataset will be updated on a regular basis to reflect our current best understanding of the objects. You are advised to use, or update to, the most current version of the dataset for best accuracy.

If you have identified errors in the dataset, or have additional information to add, we welcome your feedback! Please contact us.

Thanks!

Pull Requests

Please note that we will not accept pull requests for the data in this repository. If you have corrections, please email them to us and we will forward them to the appropriate department for correction and inclusion in a future release.

Attribution

Our dataset is being offered under CC0 1.0 Universal license.

We respectfully ask that you acknowledge AWM as a source wherever possible, in order to preserve a link to the dataset. By providing acknowledgement or citation, you enable others to verify, replicate, and further explore your presentation and interpretation of our data. Attribution supports future efforts to release other data. It also reduces the amount of ‘orphaned data’, helping retain links to authoritative sources.

No Endorsement/Representation

Use of this dataset does not grant or imply AWM’s approval, commission, or support of your work. AWM retains the rights to all of its trademarks, and they are not part of the dataset. If you transform or modify the dataset, you must clearly distinguish the resulting work as having been modified from the AWM dataset. If you create a derivative dataset from the AWM dataset, we ask that you consider releasing the derivative under a CC0 license, which mirrors the licensing of the AWM dataset.

Acknowledgement

The Warhol owes a debt to our sister institution, CMOA, and to the MoMA, Tate, and Cooper Hewitt Museum for setting the example of how to make a large data collection open and accessible to the public in the most straightforward way possible.

Thank you!