Hierarchical Data Format, The National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign
Data Center Description
The purpose of the The HDF Group is to ensure the sustainable development of HDF technologies and the ongoing accessibility of HDF-stored data. This is important because of the government and public organizations that have mission-critical systems relying on HDF technologies. As illustrated in the following narrative, academe and a variety of other industry sectors also depend heavily on HDF technologies; however, the vast majority of HDF's core users and financial support come from the government sector.
The HDF Group is located in Champaign Illinois at the University of Illinois Research Park. The HDF Group consists of about 20 staff and students, excluding vacant positions. The staff has diverse scientific and cultural backgrounds, and the average level of education and experience is quite high. The level of commitment is extraordinary; all employees have voluntarily opted to leave NCSA at the time of the spin-off, and remain with The HDF Group. Mission-centered, team-based leadership endeavors to maintain the highest ethical and professional standards while achieving sustainable advances in product research and development, technology support services, and business administration. Building and nurturing competent, diverse, committed and nimble teams is a key organizational objective.
Under Section 501(c)(3) of the Internal Revenue Code, organizations are provided tax exemption when they are organized and operated for charitable purposes. The HDF Group is lessening the burdens of its government users and advancing education and science in public-purpose scientific research communities by developing, maintaining and servicing non-proprietary, freely available tools and technologies that:
1. Reduce the costs of maintaining mission-critical archival data;
2. Enhance the reliability of archived data;
3. Enhance interaction and cross-fertilization across research disciplines;
4. Promote the use of standardized data formats.
5. Ensure uniform access to data, regardless of resources or ability-to-pay.