Selection Criteria

All list of selection criteria with an associated weighting schema will be used to score and rank tender proposals. Each member of the core committee will provide independently evaluation scores for each tender proposal.

The selection of tenders will be handled through the use of weighted selection criteria. The following selection criteria (C) will be used to evaluate bids:

C1  Alignment with OpenMinTeD interoperability standards  for software components and/or for knowledge resources.  3 points
C2  Appropriateness , feasibility of methodology 5 points 
C3  Risk assessment and timescales
2 points
C4 Appropriateness of level of staffing, resources, expertise 2 points
C5 Level of innovation. 2 points
C6 Price and value for money 4 points
C7 Project experience and proven track records planning, management, delivery 2 points
C8  Alignment with high relevance tender topics (check below) 10 points 
    Total: 30

high relevance tender topics (HRT) for knowledge resources:

HRT-1 knowledge resources that follow the Linked Data Paradigm

HRT-2 knowledge resources in the thematic domains of the OpenMinTeD use cases

HRT-3 knowledge resources that are compatible with applications/components registered in OpenMinTeD

high relevance tender topics (HRT) for software components:

HRT-1. Prototypes of components relevant to OMTD community use cases, accessible and aligned with the OMTD infrastructure, in particular semi-automated biocuration in large databases, named entity recognition, concept indexing, relation extraction and entity grounding systems.

HRT-2. Prototypes that assess technical aspects, compatibility with OMTD specification and robustness of third party components for integration into the OMTD infrastructure.

HRT-3. Prototypes that align high impact third party general purpose language processing tools with the OMTD infrastructure.

HRT-4. Prototypes that handle OMTD interoperability issues at the level of document representation and widely used standard annotation formats and their evaluation in terms suitability for usage OMTD workflow infrastructures.

HRT-5. Prototypes that enable alignment with the OMTD infrastructure of widely used third party data mining and machine-learning components.

HRT-6. Prototypes that enable alignment with the OMTD infrastructure of one of the following language processing systems: Stanford CoreNLP, Apache OpenNLP, NLTK, FreeLing, IXA pipes.

HRT-7. Prototypes that enable alignment of one of the following processing environments with the OMTD infrastructure: Apache uimaFIT, Kachako, Argo, GATE, Taverna, Heart of Gold, Vistrails, Kepler, ALPE (Automatic Linguistic Processing Environment), TextGrid, WebLicht, DKPro Core, Newsreader,

HRT-8. Prototypes that enable alignment of high impact or community use case provided knowledge bases, ontologies or controlled vocabularies with the OMTD infrastructure (data analysis and data integration of text-derived and knowledge base-derived data).

HRT-9. Prototypes that enable alignment with the OMTD infrastructure with text meta-annotation systems offering integration and/or providing consensus/harmonized annotations.

HRT-10. Adaptation, integration and interoperability of third party software including proprietary text mining platforms as well as standard annotation formats into the OMTD platform.

HRT-11. Use/combination of OpenMinTeD infrastructure components (in/via workflows) to create innovative services in scientific domains.

HRT-12. Use of the OpenMinTeD annotation platform services to generate compliant text mining services and Gold Standard data.

HRT-13. Promote the development of prototypes that enable the assessment of compliance of OMTD platform with respect to OMTD functional and interoperability specifications.