Maintenance includes making minor feature changes to address EOSDIS requirements, correcting errors, keeping the software, test suites, configurations, and documentation current, and conducting periodic releases of the software. Quality assurance involves upgrading and extending software testing, reviewing and revising documentation, improving the software development process, and strengthening software development standards.
Two focused areas include enhancing HDF5 backward and forward compatibility support and developing tools to improve the accessibility and usability of data stored in HDF5.
As EOSDIS matures and increasing amounts of data are archived, current users will be joined by users with an ever-broadening range of applications. Usability and accessibility of EOS data are not only crucial to global climate change research but also become increasingly important for policy makers, educators, the private sector and the general public. The HDF Group will provide continuing support in the form of the HDF Help Desk, workshops, training, and documentation. The HDF Group will also work with the ECS, DAACs, and other data centers to improve usability and accessibility of EOS data by means of on-site visits, consulting, and tutorials.
As more and more scientific data sets are collected, it is vitally important that these data can be easily analyzed across instruments, data products, and disciplines. The HDF Group provides support and expertise in ensuring metadata interoperability, compliance with evolving standards and conventions, and representing NASA's interests within international standards organizations.
In order to operate well with HDF-EOS technologies, we need to make sure complementary technologies perform efficiently together, and that the HDF-EOS library and tools use HDF as effectively as possible. Other technologies, such as OPeNDAP, netCDF, XML, and GIS, can add tremendous value when effectively integrated with HDF. THE HDF Group assists in these efforts by helping integrate these and other emerging technologies with HDF tools and APIs.