Open Database

170610130043) Administrasi Bisnis Fakultas Ilmu Sosial dan Politik Universitas Padjajaran 2015 KATA PENGANTAR Puji Syukur saya panjatkan kehadirat Allah swt karena dengan rahmat, karunia, serta taufik dan hidyahnya saya dapat menyelesaikan makalah ini dengan baik meskipun banyak kekurangan di dalamnya. Penulis dan penyusun sangat berharap makalah ini dapat berguna dalam rangka menambah wawasan serta pengetahuan kita mengenai Membuka dan Membagi Basis Data Bisnis menjadi barang yang berguna. Penulisjuga menyadari sepenuhnya bahwa di dalam makalah ini terdapat kekurangan dan jauh dari kata sempurna. Oleh sebab itu penulis berharap adanya kritik dan saran demi perbaikan makalah yang telah kami buat di masa yang akan datang, mengingat tidak ada yang sempurna tanpa ada saran yang membangun. Semoga makalah ini dapat dipahami bagi siapapun yang membacanya, sekiranya laporan yang telah disusun ini dapat berguna bagi penulis sendiri mauppun orang yang membacanya. Sebelumnya penulisan dan penyusun mohon maaf apabila terdapat kesalahaan kata-kata yang kurang berkenan. Jatinangor ,26 Oktober 2015 Penulis dan Penyusun Makalah

A syntax-correcting CIF parser,COD::CIF::Parser, is presented that can parse CIF 1.1 files and accurately report the position and the nature of the discovered syntactic problems. In addition, the parser is able to automatically fix the most common and the most obvious syntactic deficiencies of the input files. Bindings for Perl, C and Python programming environments are available. Based onCOD::CIF::Parser, thecod-toolspackage for manipulating the CIFs in the Crystallography Open Database (COD) has been developed. Thecod-toolspackage has been successfully used for continuous updates of the data in the automated COD data deposition pipeline, and to check the validity of COD data against the IUCr data validation guidelines. The performance, capabilities and applications of different parsers are compared.

Because every building is considered as a long-run investment, regardless of its scale, at least to its owner, broadly by
collectively impacting the national development of built assets. It is a vital aspect to ensure the qualities which define its
inhabitance experience. Buildings’ indoor environments have been undermined being observed as an uncontrolled
expensive application of systems, targeted for research, while indoor environmental quality (IEQ) is one of the assembly
of aspects that aim to appraise almost any built facility performance. There have been research efforts in literature, with
global and contextual limitations, covering dispersed relations and topics in the IEQ domain, such as the control, and
analysis of occupants’ satisfaction and facilities systems performance in respect to standards. These research efforts were
more focused on investigating results rather than allowing for an automated solution for the creation of universal standards.
Therefore, emerged a need for modelling IEQ management in an inclusive manner, to allow for the sustainable management
and understanding of facilities components’ impacts, on both occupants’ experiences and wellbeing, whereas the power of
information systems with the capabilities of todays’ hardware and technologies, set a new era, for the architectural science
in digital means. This research paper proposes a conceptual information system framework modelled in Integrated
Computer Aided Manufacturing Definition for Function Modeling (IDEF0) diagram, to enable the architects and the facility
managers to sustainably manage and monitor IEQs in built facilities. The proposed framework is based on a standardized
big data analytics that can provide architects and facility managers with meaningful insights for achieving an evidence
based, and informed design thinking, as well as sustainable monitoring of built facilities in real time.

Crystallography Open Database (COD, http://www.crystallography.net) is the largest to date curated open-access collection of small to medium sized unit cell crystal structures [4, 3]. Over 11 years of development, COD has accumulated over 1/4 million structures. COD has an automated data submission Web site, performs routine automatic quality checks on all incoming structures and is now recommended as a database for crystallographic deposition by several scientific journals. To facilitate automatic use and discoverability of COD data, and to increase usefulness of our database for chemists, two steps were undertaken. COD was supplemented with software and data from the CrystalEye data aggregator [2]. The new software permits extracting chemical data and presenting them as structural formula, unique moieties and chemically significant fragments. We have also implemented search of crystal structures by the structural chemical formulae of the target compounds. To facilitate data curati...

Editorial on the reasons and methodology to map out the global corporate structure and subsidiary hierarchy of BP plc through research and collection of open data available at national companies registers and securities commissions archives.