HDRH provides a range of research software engineering (RSE) services tailored to humanities and social science (HASS) research. These range from consultancy on and development of digital research projects (or digital components of more traditional research projects) to provision of research infrastructure, storage, and computing. A small amount of digital equipment is also available for loan. 

Research Service Category Research Service Service Description 
Research Software Engineering  Direct collaboration on grants, or fractional contributions to existing grants or projects. 
 Pre-grant analysis & costing  
 Full-stack app & web development & hosting  
 Database design & development  
 Data Science, AI, LLM, machine learning  
 Data harvesting, annotation, analysis & visualization  
 GIS mapping  
 Linked Open Data (LOD)  
 XR (AR / VR), 3D capture, modelling, publishing  
 Digitization and scholarly editing  
 Contributions to academic writing  
Consultancy  Short and long-term consultancy, from early-stage concept development to commercial and government collaboration.  
 Online drop-in Concept development and advice about digital tools & methods, and HDRH research services. 
 Data storage, management, migration, and preservation In collaboration with Australian Data Archive, ANU Collections, ANU Data Commons, ANU Archives, and Library services. 
 Archive & repository design & development In collaboration with Australian Data Archive, ANU Collections, ANU Data Commons, ANU Archives, and Library services. 
 Research data standards & management  In collaboration with Australian Data Archive, ANU Collections, ANU Data Commons, ANU Archives, and Library services. 
 Indigenous data management In consultation with ANU First Nations Portfolio.  
 Commercial & government collaboration  
Infrastructure  Research infrastructure ranging from local hosting on ANU servers to public cloud and national HPC. 
 DGX Station 4X Tesla V100; TFLOPS (Mixed precision) 500; GPU Memory 128 GB total system NVIDIA Tensor Cores 2,560; NVIDIA CUDA® Cores 20,480; CPU Intel Xeon E5-2698 v4 2.2 GHz (20-Core); System Memory 256 GB RDIMM DDR4. 
 ANU Information Technology Services  
  Unix virtual machines 
  Data storage 
 NCI (for qualifying grant holders and HDRH projects)  
  Unix VMs 
  GPU 
  Data storage 
  Compute 
  Machine Learning / Inferencing 
 Nectar (for qualifying grant holders)  
  Unix VMs 
  GPU 
  Data storage 
  Compute 
  Machine Learning / Inferencing 
 CoESRA virtual desktops  
  Unix VMs 
  Compute 
  Machine Learning / Inferencing 
  Compute 
 Public Cloud (AWS, Azure, Google)   
  Large Language Model (LLM) inferencing & API access. 
  Unix VMs 
  GPU 
  Data storage 
  Compute 
  Machine Learning / Inferencing 
 Hardware / Equipment  
  Desktop computing (limited hot desks) 
  Hardware library (cameras, tablets, VR) 
Skills Development & Training  Programming and RSE workshops, training sessions, and support 
 Programming drop-in hours For coding problems and advice 
 Online drop-in For general consultancy about digital tools & methods 
 Digital skills development Seminars, hackfests, workshops, conferences in alignment to ARDC skills development 
 Nectar skills training In collaboration with ARDC Nectar 
 Community building Seminars, hackfests, workshops, conferences