Infrastructure

curateLab digitizationLab
datacave
 serverFarm cloudLab

 


curateLab

 

 

Hornbake Building South 4110
Contact: Mary Kendig (mkendig@umd.edu)

This lab consists of two state-of-the-art collaboration spaces of 15 and 8 seats respectively, CS1 & CS2 (23 seats total), and is ideal for group learning, collaborative design, and hands-on digital curation project development. Group members can take turns sharing documents, images, video, or websites on one of four large screens from personal devices with the push of a button. In addition to using one’s personal device, twelve Terabyte-drive MacBook Pros with VMWare Fusion (for using Windows) may be used on site and reserved in advance.

dcic_space

Collaborative Space #1 (CS1):

  • 3 seating areas (infield, midfield, and outfield)

CS1– 15-seat collaborative space with 3 tiers:

  • Infield:
    • Seven-seat Steelcase media:scape integrated table with:
      • Two 32” monitors with 4K Ultra-HD resolution (Sharp LED)
      • Six push-buttons (“pucks”) to allow multiple laptops, tablets, and smart phone devices to be simultaneously connected to one or both of the Sharp LED monitors (through HDMI, DVI, DisplayPort, or mini-DisplayPort connectors)
      • 120-degree wide angle webcam for video conferencing
  • Midfield:
    • Two electrically height-adjustable (22” to 48”) IKEA Bekant ergonomic tables
    • Five barstool chairs
  • Outfield:
    • One electrically height-adjustable (22” to 48”) IKEA Bekant ergonomic table
    • Three barstool chairs

– For use across all 3 tiers:

  • One 75” monitor with 4K Ultra-HD resolution
  • Wireless presentation system (with 8 push buttons) allowing up to 4 users to share 75” monitor at the same time (Barco Clickshare CSC-1)
Collaboration Space #2 (CS2):

  • reconfigurable & movable

CS2-v2

– 8-seat reconfigurable space:

  • 8 mobile / foldable chairs
  • 4 mobile / foldable tables
  • Rolling cart with Samsung Smart LED 55” TV with 4K Ultra-HD resolution
  • Wireless presentation system (with 4 push buttons) allowing up to 2 users to share TV at the same time (Barco Clickshare CSM-1)

 


digitizationLab

 

 

 

Hornbake Building South 4110A
Contact: Dr. Kenneth Heger (kheger@umd.edu) and Mary Kendig (mkendig@umd.edu)

The Digitization Lab is a space for students to gain hands on experience with digitization equipment utilized in the archival field and career.   Students will explore quality control procedures to digital assets, identifying useful metadata, and evaluating potential candidates for digitization. In addition to career specific learning objectives, students will be able to work with a variety of equipment; this enables students to make managerial decisions in regards to the proper equipment to capture the best possible digital image for their candidates. Please contact Dr. Kenneth Heger or Mary Kendig to reserve the room or a consultation.

 

HP Scanjet G-4050 flatbed color scanner

Fujitsu ScanSnap SV600 overhead scanner

Epson Perfection V600 (model BH3920) scanner

Epson Express E11000XL-PH stationary scanner

Wolverine Snap20 14 Megapixels Digital Image Converter scanner

Flip-Pal Mobile Scanner

The following 16 scanners are available for student and faculty use:

  • Legal size documents:
    • 1 Epson Expression E11000XL-PH stationary scanner
  • Legal size documents and books:
    • 2 Fujitsu ScanSnap SV600 overhead scanners
  • Letter size documents and photographs:
    • 5 Epson Perfection V600 (model BH3920) scanners
    • 2 HP Scanjet G-4050 flatbed color scanners
  • Film and negative slides:
    • 3 Wolverine Snap20 14 Megapixels Digital Image Converter scanners
  • Photos and postcards:
    • 3 Flip-Pal Mobile Scanners

In addition, the digitizationLab has a Windows desktop PC (Dell Optiplex 9020 MT CTO) with three 24” monitors.

 


datacave

Off-campus:  UMD Cyberinfrastructure Center at the Rivertech Building
Contact: Mary Kendig (mkendig@umd.edu)

 

drasticcommunity
Data stewardship is a constant need, during and after digital curation projects. The DCIC has launched the building of a drasticcommunity, based on our drastic_bw archival software.  The goal is to build out an open source drastic platform into a horizontally scalable archives framework serving the national library, archives, and scientific data management communities.

drasᐧtic
digital repository at scale · that invites computation (that improves collections)
————————————-
dras·tic
/ˈdrastik/
adjective
likely to have a strong or far-reaching effect; radical and extreme.
synonyms: extreme, serious, radical, far-reaching, impactful, momentous, substantial;

drastic is designed for the building and preserving of digital collections. It uses a distributed NoSQL database (Cassandra). Data is stored and made available via a web user interface, a command line tool, and an industry standard RESTful API (CDMI or Cloud Data Management Interface). Our experimental repository is a peta-scale storage facility powered by NetApp storage, providing commercial-grade storage. Contact us to see if you qualify for our free tier or if we need to make special arrangements to handle a large-scale project.

  • NetApp E2700 E-Series (720TB):  $137K and 60 x 4TB drives / unit with 3 units – TOTAL = 720 TB raw

 

BigDataCluster
The BigDataCluster is our data cluster facility and has four large Dell compute nodes devoted to running the Cassandra Distributed Database. The platform works with the Indigo digital repository and may be efficiently used to process data in the repository. It may also be loaded with other custom data sets. Users will be given their own unique Cassandra table space within which to load data, which enables users to understand the data associated with their collections. If this platform can be useful for your research, please include us as early as possible in your planning.

  • 4 Dell PowerEdge R620:  $29K (roughly $7K / server)
  • Dual 8-core processors: Intel Xeon E5-2650v2 2.6GHz
  • 128 GB of RAM

IMG_5808datacave2

 


 serverFarm

UMD Computer & Space Science Building
Contact: David Napier (dnapier@umd.edu)

Digital humanities projects commonly result in a web site that is dynamic or database driven. This requires a server with particular software and configuration. The iSchool provides virtual server environments for faculty and student projects that need it. Basic Windows and Linux machines can be customized according to project needs. The project owner is responsible for software loaded on the server, but staff can help with software updates, securing data, additional storage, etc. As opposed to the virtualcomputingLab / cloudLab which is hosted in the cloud, the serverFarm is hosted locally on campus at the UMC Computer & Space Science Building. The virtualFarm is VMWare-powered and consists of 15TB of storage and 2 Dell servers. Please contact David Napier if you are interested in setting up a server for your website or project.

IMG_20150313_140841339 farm

 


 cloudLab

aka…  virtualcomputingLab

Amazon Cloud
Contact: Sanjna Srivatsa (ssrivat2@umd.edu)

The cloudLab (also referred to as the virtualcomputingLab or VCL lab for short) allows students and faculty to create on-demand Windows / Linux computers hosted in the Amazon Cloud (AWS). Working in the cloud allows us to quickly create new computers for individuals with a pre-determined software load. Computers in the cloud are accessed via the web dashboard at https://ischoolvcl.umd.edu. Computers may be pre-configured for a particular course or created in the “sandbox” for project-based work. Please get in touch several weeks in advance of your class as these preparations take time. Features include:

  1. Instructors may share control of student machines for problem solving
  2. Cloud monitoring – optimizing machine usage
  3. Student desktop sharing – for group studies
  4. Cloud-based shared data sets

awscloud-serversVCL UI

For example, sandbox machine “sandbox1” is a Windows 10 machine that is preloaded with:

  • OCR software (ABBYY FineReader)
  • Data extraction software (Google Refine)
  • Interactive mapping software (QGIS)
  • Graph database software (Neo4j)
  • Web crawling software (HTTrack)
  • Desktop software (MS Office 2016)
  • PHP Development environment (XAMPP)
  • Database software (MySQL Workbench)
  • R Development environment (RStudio)
  • Gate NLP software