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54	54	(% lang="EN-GB" style="background-attachment:initial; background-clip:initial; background-image:initial; background-origin:initial; background-position:initial; background-repeat:initial; background-size:initial; font-family:~"Source Sans Pro~",sans-serif; font-size:13.5pt; line-height:107%" %)Upon login to the MIP, users are mandated to accept the Terms of Use of the MIP. Accredited users access the MIP through a web-based interface, which will provide them with access to the respective federation on the MIP.
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56	56	(((
57		-== The MIP Data Governance ==
58		-
59		-[[image:1728560441625-436.png]]
60		-
61		-
62		-**Figure 2:** MIP Data Governance Flow
63		-
64		-(% class="small" %)//This illustration depicts how data governance and data flow in the MIP are organised and how the legal framework and data management are interlinked. Decision points are indicated.//
65		-
66		-
67		-=== MIP concepts and definitions ===
68		-
69		-
70		-* **Common Data Elements (CDEs)**
71		-
72		-A set of standard variables defined by clinical experts and data scientists, which would be used by researchers to perform analysis on specific medical conditions at the federation level. In the MIP context, we use the term CDEs to refer to the standardised federated datamodels only.
73		-
74		-* **Data Element**
75		-
76		-In metadata, the term data element is an atomic unit of data that has precise meaning or precise semantics.
77		-
78		-* **Datamodel (Metadata)**
79		-
80		-A Datamodel (Metadata) describes the structure of database variables found in specific extracts of a hospital database, including descriptive metadata, structural metadata, administrative metadata, reference metadata and statistical metadata.
81		-
82		-* **Database Variables**
83		-
84		-A variable or scalar is a storage address (identified by an index or address) paired with an associated symbolic name, which contains some known or unknown quantity of information referred to as a value.
85		-
86		-* **Electronic Health Records (EHR)**
87		-
88		-Health information and clinical records registered per each patient per visit in the hospital's database (Oracle, SQL, or any other database system) and usually transferred in db or CSV format. EHRs usually contain different levels of data; we might define them in this context as spaces, domain, and sub-domain. For example, a space might include demographics, social status, or patient's medical history as different data domains. On the other hand, EHR contain other data spaces related to the specific medical condition such as Dementia or Epilepsy where each space includes specific domain and sub-domain, such as medical assessments and tests, diagnoses, treatment, and operations, etc.
89		-
90		-* **Medical Conditions**
91		-
92		-Diseases are often known to be medical conditions that are associated with specific symptoms and signs.
93		-
94		-
95		-----
96		-
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