DataGraft: One-stop-shop for open data management¹

Article type: Research Article

Authors: Roman, Dumitru^{a; *} | Nikolov, Nikolay^a | Putlier, Antoine^a | Sukhobok, Dina^a | Elvesæter, Brian^a | Berre, Arne^a | Ye, Xianglin^a | Dimitrov, Marin^b | Simov, Alex^b | Zarev, Momchill^c | Moynihan, Rick^d | Roberts, Bill^d | Berlocher, Ivan^e | Kim, Seonho^e | Lee, Tony^e | Smith, Amanda^f | Heath, Tom^f

Affiliations: [a] SINTEF, Forskningsveien 1a, 0373 Oslo, Norway. E-mail: dumitru.roman@sintef.no | [b] Ontotext AD, Tsarigradsko Shosse, 1784 Sofia, Bulgaria | [c] Sirma Mobile, Bulgaria | [d] Swirrl IT LTD, Springbank Road, Macfarlane Gray House, Stirling, FK7 7WT, Stirlingshire, United Kingdom | [e] Saltlux Inc., 6F Deok-il Building, 967 Daechi-Dong, Guaugnam-Gu, 135-848 Seoul, Republic of Korea | [f] Open Data Institute, St. James Square, St. James House, GL50 3PR Cheltenham, United Kingdom

Correspondence: [*] Corresponding author. E-mail: dumitru.roman@sintef.no.

Note: [1] DataGraft is accessible at https://datagraft.net/. This paper presents the capabilities of DataGraft as of January 2016.

Abstract: This paper introduces DataGraft (https://datagraft.net/) – a cloud-based platform for data transformation and publishing. DataGraft was developed to provide better and easier to use tools for data workers and developers (e.g., open data publishers, linked data developers, data scientists) who consider existing approaches to data transformation, hosting, and access too costly and technically complex. DataGraft offers an integrated, flexible, and reliable cloud-based solution for hosted open data management. Key features include flexible management of data transformations (e.g., interactive creation, execution, sharing, and reuse) and reliable data hosting services. This paper provides an overview of DataGraft focusing on the rationale, key features and components, and evaluation.

Keywords: Data transformation, data publication, data hosting, data-as-a-service, open data, linked data

DOI: 10.3233/SW-170263

Journal: Semantic Web, vol. Preprint, no. Preprint, pp. 1-19, 2017